2009 KDD09Proceedingsofthe15thACMSIG
- (Elder et al., 2009) ⇒ John P. Elder, Francoise Fogelman-Soulie, Peter A. Flach, and Mohammed J. Zaki. (2009). “KDD'09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.” Association for Computing Machinery (ACM) 2009. ISBN:9781605584959. doi:10.1145/1557019.
Subject Headings: KDD-2009; KDD-2009 Proceedings; KDD 2009 Annotation Project.
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Abstract
It is our great pleasure to welcome you to the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09). This year is special in that it marks the first time that KDD is held in Europe, and where better to host it than beautiful Paris! As the flagship conference in the field, KDD continues to provide a highly competitive forum for reporting the latest and the best developments in the research and application of data mining and knowledge discovery worldwide.
KDD'09 received a record number of 659 submissions, more than 10% up from last year. The Research Track received 537 submissions and the Industrial and Government Applications Track received 122 submissions (an increase of nearly half over last year). For the Research Track, the program committee accepted 105 papers, 50 of which (9.3% of the submitted papers) were chosen for a 25 minute oral presentation and the remaining 55 (10.2%) for a 15 minute presentation. The corresponding numbers for the Industrial Track are 12 (9.8%) and 22 (18.0%). All accepted papers are given up to 9 pages in the proceedings, and all accepted papers are also given poster presentation opportunities in one of the two evening poster sessions during the conference.
In addition to the paper presentations, the conference features nine tutorials, eleven workshops, one panel, the hugely successful KDD-Cup competition, a demo session, an exhibition, evening industry sessions (new!), and three invited talks by David Hand (Imperial College London, UK), Heikki Mannila (University of Helsinki, Finland) and Stanley Wasserman (Indiana University, USA). The Industrial Track includes two additional invited presentations by Ravi Kumar (Yahoo! Research, USA) and Ashok Srivastava (NASA Ames, USA).
SESSION: Keynote Talks
- (Hand, 2009) ⇒ David J. Hand. (2009). “Mismatched Models, Wrong Results, and Dreadful Decisions: On Choosing Appropriate Data Mining Tools.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557021
- (Kumar, 2009) ⇒ Ravi Kumar. (2009). “Mining Web Logs: Applications and Challenges.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557022
- (Mannila, 2009) ⇒ Heikki Mannila. (2009). “Randomization Methods in Data Mining.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557023
- (Srivastava, 2009) ⇒ Ashok N. Srivastava. (2009). "Data Mining at NASA: From Theory to Applications" In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557024
- (Wasserman, 2009) ⇒ Stanley Wasserman. (2009). “Network Science: An Introduction to Recent Statistical Approaches.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557025
PANEL SESSION: Panel
- (Zeller et al., 2009) ⇒ Michael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcade, Rick Pechter, Mike Hoskins, Wayne Thompson, and Rich Holada. (2009). "Open Standards and Cloud Computing: KDD-2009 Panel Report". In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557027
SESSION: Research Track Papers
- (Agarwal et al., 2009) ⇒ Deepak Agarwal, and Bee-Chung Chen. (2009). “Regression-based Latent Factor Models.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557029
- (Aggarwal et al., 2009) ⇒ Charu C. Aggarwal, Yan Li, Jianyong Wang, and Jing Wang. (2009). “Frequent Pattern Mining with Uncertain Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557030
- (Ahmed et al., 2009) ⇒ Amr Ahmed, Eric P. Xing, William W. Cohen, and Robert F. Murphy. (2009). “Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557031
- (Ambekar et al., 2009) ⇒ Anurag Ambekar, Charles Ward, Jahangir Mohammed, Swapna Male, and Steven Skiena. (2009). “Name-ethnicity Classification from Open Sources.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557032
- (Ando et al., 2009) ⇒ Shin Ando, and Einoshin Suzuki. (2009). “Detection of Unique Temporal Segments by Information Theoretic Meta-clustering.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557033
- (Ashrafi et al., 2009) ⇒ Mafruz Zaman Ashrafi, and See Kiong Ng. (2009). “Collusion-resistant Anonymous Data Collection Method.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557034
- (Asur et al., 2009) ⇒ Sitaram Asur, and Srinivasan Parthasarathy. (2009). “A Viewpoint-based Approach for Interaction Graph Analysis.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557035
- (Backstrom et al., 2009) ⇒ Lars Backstrom, Jon Kleinberg, and Ravi Kumar. (2009). “Optimizing Web Traffic via the Media Scheduling Problem.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557036
- (Bekkerman et al., 2009) ⇒ Ron Bekkerman, Martin Scholz, and Krishnamurthy Viswanathan. (2009). “Improving Clustering Stability with Combinatorial MRFs.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557037
- (Berlingerio et al., 2009) ⇒ Michele Berlingerio, Fabio Pinelli, Mirco Nanni, and Fosca Giannotti. (2009). “Temporal Mining for Interactive Workflow Data Analysis.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557038
- (Bernecker et al., 2009) ⇒ Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Florian Verhein, and Andreas Zuefle. (2009). “Probabilistic Frequent Itemset Mining in Uncertain Databases.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557039
- (Beygelzimer et al., 2009) ⇒ Alina Beygelzimer, and John Langford. (2009). “The Offset Tree for Learning with Partial Labels.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557040
- (Bifet et al., 2009) ⇒ Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Richard Kirkby, and Ricard Gavaldà. (2009). “New Ensemble Methods for Evolving Data Streams.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557041
- (Böhm et al., 2009) ⇒ Christian Böhm, Katrin Haegler, Nikola S. Müller, and Claudia Plant. (2009). “CoCo: Coding Cost for Parameter-free Outlier Detection.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557042
- (Bu et al., 2009) ⇒ Yingyi Bu, Lei Chen, Ada Wai-Chee Fu, and Dawei Liu. (2009). “Efficient Anomaly Monitoring over Moving Object Trajectory Streams.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557043
- (Chang et al., 2009) ⇒ Jonathan Chang, Jordan Boyd-Graber, and David M. Blei. (2009). “Connections Between the Lines: Augmenting Social Networks with Text.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557044
- (Chen et al., 2009) ⇒ Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong. (2009). “Extracting Discriminative Concepts for Domain Adaptation in Text Mining.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557045
- (Chen et al., 2009) ⇒ Minmin Chen, Yixin Chen, Michael R. Brent, and Aaron E. Tenney. (2009). “Constrained Optimization for Validation-guided Conditional Random Field Learning.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557046
- (Chen et al., 2009) ⇒ Wei Chen, Yajun Wang, and Siyu Yang. (2009). “Efficient Influence Maximization in Social Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557047
- (Chen et al., 2009) ⇒ Ye Chen, Dmitry Pavlov, and John F. Canny. (2009). “Large-scale Behavioral Targeting.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557048
- (Chierichetti et al., 2009) ⇒ Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Michael Mitzenmacher, Alessandro Panconesi, and Prabhakar Raghavan. (2009). “On Compressing Social Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557049
- (Delage, 2009) ⇒ Erick Delage. (2009). “Regret-based Online Ranking for a Growing Digital Library.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557050
- (Deng et al., 2009) ⇒ Hongbo Deng, Michael R. Lyu, and Irwin King. (2009). “A Generalized Co-HITS Algorithm and Its Application to Bipartite Graphs.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557051
- (Deodhar et al., 2009) ⇒ Meghana Deodhar, and Joydeep Ghosh. (2009). “Mining for the Most Certain Predictions from Dyadic Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557052
- (Donmez et al., 2009) ⇒ Pinar Donmez, Jaime G. Carbonell, and Jeff Schneider. (2009). “Efficiently Learning the Accuracy of Labeling Sources for Selective Sampling.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557053
- (Du et al., 2009) ⇒ Nan Du, Christos Faloutsos, Bai Wang, and Leman Akoglu. (2009). “Large Human Communication Networks: Patterns and a Utility-driven Generator.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557054
- (Dundar et al., 2009) ⇒ M. Murat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, and Bartek Rajwa. (2009). “Learning with a Non-exhaustive Training Dataset: A Case Study: Detection of Bacteria Cultures Using Optical-scattering Technology.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557055
- (El-Arini et al., 2009) ⇒ Khalid El-Arini, Gaurav Veda, Dafna Shahaf, and Carlos Guestrin. (2009). “Turning Down the Noise in the Blogosphere.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557056
- (Forman et al., 2009) ⇒ George Forman, Martin Scholz, and Shyamsundar Rajaram. (2009). “Feature Shaping for Linear SVM Classifiers.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557057
- (Frank et al., 2009) ⇒ Richard Frank, Martin Ester, and Arno Knobbe. (2009). “A Multi-relational Approach to Spatial Classification.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557058
- (Freno et al., 2009) ⇒ Antonino Freno, Edmondo Trentin, and Marco Gori. (2009). “Scalable Pseudo-likelihood Estimation in Hybrid Random Fields.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557059
- (Gama et al., 2009) ⇒ João Gama, Raquel Sebastião, and Pedro Pereira Rodrigues. (2009). “Issues in Evaluation of Stream Learning Algorithms.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557060
- (Gao et al., 2009) ⇒ Jing Gao, Wei Fan, Yizhou Sun, and Jiawei Han. (2009). “Heterogeneous Source Consensus Learning via Decision Propagation and Negotiation.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557061
- (Ge et al., 2009) ⇒ Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra Sahoo, Xiaofeng Gao, and Weili Wu. (2009). “Multi-focal Learning and Its Application to Customer Service Support.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557062
- (Gu et al., 2009) ⇒ Quanquan Gu, and Jie Zhou. (2009). “Co-clustering on Manifolds.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557063
- (Guo et al., 2009) ⇒ Lei Guo, Enhua Tan, Songqing Chen, Xiaodong Zhang, and Yihong (Eric) Zhao. (2009). “Analyzing Patterns of User Content Generation in Online Social Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557064
- (Hanhijärvi et al., 2009) ⇒ Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, and Heikki Mannila. (2009). “Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557065
- (Hu et al., 2009) ⇒ Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, and Xiaohua Zhou. (2009). “Exploiting Wikipedia As External Knowledge for Document Clustering.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557066
- (Jamali et al., 2009) ⇒ Mohsen Jamali, and Martin Ester. (2009). “TrustWalker : A Random Walk Model for Combining Trust-based and Item-based Recommendation.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557067
- (Ji et al., 2009) ⇒ Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, and Jieping Ye. (2009). “Drosophila Gene Expression Pattern Annotation Using Sparse Features and Term-term Interactions.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557068
- (Jin et al., 2009) ⇒ Ruoming Jin, Yang Xiang, and Lin Liu. (2009). “Cartesian Contour: A Concise Representation for a Collection of Frequent Sets.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557069
- (Kolcz et al., 2009) ⇒ Aleksander Kolcz, and Gordon V. Cormack. (2009). “Genre-based Decomposition of Email Class Noise.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557070
- (Koopman et al., 2009) ⇒ Arne Koopman, and Arno Siebes. (2009). “Characteristic Relational Patterns.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557071
- (Koren, 2009) ⇒ Yehuda Koren. (2009). “Collaborative Filtering with Temporal Dynamics.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557072
- (Kulkarni et al., 2009) ⇒ Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, and Soumen Chakrabarti. (2009). “Collective Annotation of Wikipedia Entities in Web Text.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557073
- (Lappas et al., 2009) ⇒ Theodoros Lappas, Kun Liu, and Evimaria Terzi. (2009). “Finding a Team of Experts in Social Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557074
- (Lappas et al., 2009) ⇒ Theodoros Lappas, Benjamin Arai, Manolis Platakis, Dimitrios Kotsakos, and Dimitrios Gunopulos. (2009). “On Burstiness-aware Search for Document Sequences.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557075
- (Last, 2009) ⇒ Mark Last. (2009). “Improving Data Mining Utility with Projective Sampling.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557076
- (Leskovec et al., 2009) ⇒ Jure Leskovec, Lars Backstrom, and Jon Kleinberg. (2009). “Meme-tracking and the Dynamics of the News Cycle.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557077
- (Li et al., 2009) ⇒ Lei Li, James McCann, Nancy S. Pollard, and Christos Faloutsos. (2009). “DynaMMo: Mining and Summarization of Coevolving Sequences with Missing Values.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557078
- (Li et al., 2009) ⇒ Tiancheng Li, and Ninghui Li. (2009). “On the Tradeoff Between Privacy and Utility in Data Publishing.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557079
- (Lin et al., 2009) ⇒ Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi Konuru, Hari Sundaram, and Aisling Kelliher. (2009). “MetaFac: Community Discovery via Relational Hypergraph Factorization.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557080
- (Liu et al., 2009) ⇒ Chao Liu, Fan Guo, and Christos Faloutsos. (2009). “BBM: Bayesian Browsing Model from Petabyte-scale Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557081
- (Liu et al., 2009) ⇒ Jun Liu, Jianhui Chen, and Jieping Ye. (2009). “Large-scale Sparse Logistic Regression.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557082
- (Lo et al., 2009) ⇒ David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, and Chengnian Sun. (2009). “Classification of Software Behaviors for Failure Detection: A Discriminative Pattern Mining Approach.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557083
- (Loscalzo et al., 2009) ⇒ Steven Loscalzo, Lei Yu, and Chris Ding. (2009). “Consensus Group Stable Feature Selection.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557084
- (Lozano et al., 2009) ⇒ Aurelie C. Lozano, Naoki Abe, Yan Liu, and Saharon Rosset. (2009). “Grouped Graphical Granger Modeling Methods for Temporal Causal Modeling.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557085
- (Lozano et al., 2009) ⇒ Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan Hosking, and Naoki Abe. (2009). “Spatial-temporal Causal Modeling for Climate Change Attribution.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557086
- (Macskassy, 2009) ⇒ Sofus A. Macskassy. (2009). “Using Graph-based Metrics with Empirical Risk Minimization to Speed Up Active Learning on Networked Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557087
- (Malmgren et al., 2009) ⇒ R. Dean Malmgren, Jake M. Hofman, Luis A.N. Amaral, and Duncan J. Watts. (2009). “Characterizing Individual Communication Patterns.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557088
- (Maunz et al., 2009) ⇒ Andreas Maunz, Christoph Helma, and Stefan Kramer. (2009). “Large-scale Graph Mining Using Backbone Refinement Classes.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557089
- (McSherry et al., 2009) ⇒ Frank McSherry, and Ilya Mironov. (2009). “Differentially Private Recommender Systems: Building Privacy Into the Net.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557090
- (Monreale et al., 2009) ⇒ Anna Monreale, Fabio Pinelli, Roberto Trasarti, and Fosca Giannotti. (2009). “WhereNext: A Location Predictor on Trajectory Pattern Mining.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557091
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- (Shi et al., 2009) ⇒ Lei Shi, and Vandana P. Janeja. (2009). “Anomalous Window Discovery through Scan Statistics for Linear Intersecting Paths (SSLIP).” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557104
- (Shi et al., 2009) ⇒ Xiaolin Shi, Jun Zhu, Rui Cai, and Lei Zhang. (2009). “User Grouping Behavior in Online Forums.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557105
- (Shibuya et al., 2009) ⇒ Takashi Shibuya, Tatsuya Harada, and Yasuo Kuniyoshi. (2009). “Causality Quantification and Its Applications: Structuring and Modeling of Multivariate Time Series.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557106
- (Sun et al., 2009) ⇒ Yizhou Sun, Yintao Yu, and Jiawei Han. (2009). “Ranking-based Clustering of Heterogeneous Information Networks with Star Network Schema.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557107
- (Tang et al., 2009) ⇒ Jie Tang, Jimeng Sun, Chi Wang, and Zi Yang. (2009). “Social Influence Analysis in Large-scale Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557108
- (Tang et al., 2009) ⇒ Lei Tang, and Huan Liu. (2009). “Relational Learning via Latent Social Dimensions.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557109
- (Tantipathananandh et al., 2009) ⇒ Chayant Tantipathananandh, and Tanya Berger-Wolf. (2009). “Constant-factor Approximation Algorithms for Identifying Dynamic Communities.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557110
- (Tsourakakis et al., 2009) ⇒ Charalampos E. Tsourakakis, U. Kang, Gary L. Miller, and Christos Faloutsos. (2009). “DOULION: Counting Triangles in Massive Graphs with a Coin.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557111
- (Vatturi et al., 2009) ⇒ Pavan Vatturi, and Weng-Keen Wong. (2009). “Category Detection Using Hierarchical Mean Shift.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557112
- (Wang et al., 2009) ⇒ Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, and Ling Liu. (2009). “Learning, Indexing, and Diagnosing Network Faults.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557113
- (Wang et al., 2009) ⇒ Xuanhui Wang, Deepayan Chakrabarti, and Kunal Punera. (2009). “Mining Broad Latent Query Aspects from Search Sessions.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557114
- (Wu et al., 2009) ⇒ Junjie Wu, Hui Xiong, and Jian Chen. (2009). “Adapting the Right Measures for K-means Clustering.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557115
- (Wu et al., 2009) ⇒ Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, and John Gums. (2009). “A LRT Framework for Fast Spatial Anomaly Detection.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557116
- (Xue et al., 2009) ⇒ Jack Chongjie Xue, and Gary M. Weiss. (2009). “Quantification and Semi-supervised Classification Methods for Handling Changes in Class Distribution.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557117
- (Yan et al., 2009) ⇒ Donghui Yan, Ling Huang, and Michael I. Jordan. (2009). “Fast Approximate Spectral Clustering.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557118
- (Yang et al., 2009) ⇒ Bishan Yang, Jian-Tao Sun, Tengjiao Wang, and Zheng Chen. (2009). “Effective Multi-label Active Learning for Text Classification.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557119
- (Yang et al., 2009) ⇒ Tianbao Yang, Rong Jin, Yun Chi, and Shenghuo Zhu. (2009). “Combining Link and Content for Community Detection: A Discriminative Approach.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557120
- (Yao et al., 2009) ⇒ Limin Yao, David Mimno, and Andrew McCallum. (2009). “Efficient Methods for Topic Model Inference on Streaming Document Collections.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557121
- (Ye et al., 2009) ⇒ Lexiang Ye, and Eamonn Keogh. (2009). “Time Series Shapelets: A New Primitive for Data Mining.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557122
- (Yin et al., 2009) ⇒ Zhijun Yin, Rui Li, Qiaozhu Mei, and Jiawei Han. (2009). “Exploring Social Tagging Graph for Web Object Classification.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557123
- (Yoo et al., 2009) ⇒ Shinjae Yoo, Yiming Yang, Frank Lin, and Il-Chul Moon. (2009). “Mining Social Networks for Personalized Email Prioritization.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557124
- (You et al., 2009) ⇒ Chang hun You, Lawrence B. Holder, and Diane J. Cook. (2009). “Learning Patterns in the Dynamics of Biological Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557125
- (Zhang et al., 2009) ⇒ Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cecile Germain-Renaud, and Michèle Sebag. (2009). “Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557126
- (Zhang et al., 2009) ⇒ Yuzhou Zhang, Jianyong Wang, Yi Wang, and Lizhu Zhou. (2009). “Parallel Community Detection on Large Networks with Propinquity Dynamics.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557127
- (Zheleva et al., 2009) ⇒ Elena Zheleva, Hossam Sharara, and Lise Getoor. (2009). “Co-evolution of Social and Affiliation Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557128
- (Zheng et al., 2009) ⇒ Lei Zheng, Shaojun Wang, Yan Liu, and Chi-Hoon Lee. (2009). “Information Theoretic Regularization for Semi-supervised Boosting.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557129
- (Zhong et al., 2009) ⇒ Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak Turaga, and Olivier Verscheure. (2009). “Cross Domain Distribution Adaptation via Kernel Mapping.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557130
- (Zhu et al., 2009) ⇒ Guangyu Zhu, and Gilad Mishne. (2009). “Mining Rich Session Context to Improve Web Search.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557131
- (Zhu et al., 2009) ⇒ Jun Zhu, Eric P. Xing, and Bo Zhang. (2009). “Primal Sparse Max-margin Markov Networks.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557132
- (Zhu et al., 2009) ⇒ Qiang Zhu, Xiaoyue Wang, Eamonn Keogh, and Sang-Hee Lee. (2009). “Augmenting the Generalized Hough Transform to Enable the Mining of Petroglyphs.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557133
SESSION: Industrial Track Papers
- (Attenberg et al., 2009) ⇒ Josh Attenberg, Sandeep Pandey, and Torsten Suel. (2009). “Modeling and Predicting User Behavior in Sponsored Search.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557135
- (Bhattacharya et al., 2009) ⇒ Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupta, Ashish Verma, Jeff Achtermann, and Kevin English. (2009). “Enabling Analysts in Managed Services for CRM Analytics.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557136
- (Cherkasova et al., 2009) ⇒ Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey, Joseph Tucek, and Alistair Veitch. (2009). “Applying Syntactic Similarity Algorithms for Enterprise Information Management.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557137
- (Chu et al., 2009) ⇒ Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, and Joe Zachariah. (2009). “A Case Study of Behavior-driven Conjoint Analysis on Yahoo!: Front Page Today Module.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557138
- (Crook et al., 2009) ⇒ Thomas Crook, Ron Kohavi, Roger Longbotham, and Brian Frasca. (2009). “Seven Pitfalls to Avoid when Running Controlled Experiments on the Web.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557139
- (Daruru et al., 2009) ⇒ Srivatsava Daruru, Nena M. Marin, Matt Walker, and Joydeep Ghosh. (2009). “Pervasive Parallelism in Data Mining: Dataflow Solution to Co-clustering Large and Sparse Netflix Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557140
- (Ding et al., 2009) ⇒ Xiaowen Ding, Bing Liu, and Lei Zhang. (2009). “Entity Discovery and Assignment for Opinion Mining Applications.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557141
- (Du et al., 2009) ⇒ Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, and John H. Thornton Jr.. (2009). “Migration Motif: A Spatial - Temporal Pattern Mining Approach for Financial Markets.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557142
- (Fuxman et al., 2009) ⇒ Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, and John Shafer. (2009). “Improving Classification Accuracy Using Automatically Extracted Training Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557143
- (Guo et al., 2009) ⇒ Honglei Guo, Huijia Zhu, Zhili Guo, XiaoXun Zhang, and Zhong Su. (2009). “Address Standardization with Latent Semantic Association.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557144
- (Gupta et al., 2009) ⇒ Sonal Gupta, Mikhail Bilenko, and Matthew Richardson. (2009). “Catching the Drift: Learning Broad Matches from Clickthrough Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557145
- (Hasan et al., 2009) ⇒ Mohammad Al Hasan, W. Scott Spangler, Thomas Griffin, and Alfredo Alba. (2009). “COA: Finding Novel Patents through Text Analysis.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557146
- (Hirose et al., 2009) ⇒ Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, and Ryohei Fujimaki. (2009). “Network Anomaly Detection based on Eigen Equation Compression.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557147
- (Jin et al., 2009) ⇒ Wei Jin, Hung Hay Ho, and Rohini K. Srihari. (2009). “OpinionMiner: A Novel Machine Learning System for Web Opinion Mining and Extraction.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557148
- (Lee et al., 2009) ⇒ Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, and Ji-Rong Wen. (2009). “Query Result Clustering for Object-level Search.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557149
- (Li et al., 2009) ⇒ Ming Li, Benjamin M. Dias, Ian Jarman, Wael El-Deredy, and Paulo J.G. Lisboa. (2009). “Grocery Shopping Recommendations based on Basket-sensitive Random Walk.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557150
- (Liu et al., 2009) ⇒ Yan Liu, Jayant R. Kalagnanam, and Oivind Johnsen. (2009). “Learning Dynamic Temporal Graphs for Oil-production Equipment Monitoring System.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557151
- (Luo et al., 2009) ⇒ Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, and Zhongzhi Shi. (2009). “Towards Combining Web Classification and Web Information Extraction: A Case Study.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557152
- (Ma et al., 2009) ⇒ Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker. (2009). “Beyond Blacklists: Learning to Detect Malicious Web Sites from Suspicious URLs.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557153
- (Makanju et al., 2009) ⇒ Adetokunbo A.O. Makanju, A. Nur Zincir-Heywood, and Evangelos E. Milios. (2009). “Clustering Event Logs Using Iterative Partitioning.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557154
- (McGlohon et al., 2009) ⇒ Mary McGlohon, Stephen Bay, Markus G. Anderle, David M. Steier, and Christos Faloutsos. (2009). “SNARE: A Link Analytic System for Graph Labeling and Risk Detection.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557155
- (Melville et al., 2009) ⇒ Prem Melville, Wojciech Gryc, and Richard D. Lawrence. (2009). “Sentiment Analysis of Blogs by Combining Lexical Knowledge with Text Classification.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557156
- (Mohammed et al., 2009) ⇒ Noman Mohammed, Benjamin C.M. Fung, Patrick C.K. Hung, and Cheuk-kwong Lee. (2009). “Anonymizing Healthcare Data: A Case Study on the Blood Transfusion Service.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557157
- (Ozonat et al., 2009) ⇒ Kivanc Ozonat, and Donald Young. (2009). “Towards a Universal Marketplace over the Web: Statistical Multi-label Classification of Service Provider Forms with Simulated Annealing.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557158
- (Patnaik et al., 2009) ⇒ Debprakash Patnaik, Manish Marwah, Ratnesh Sharma, and Naren Ramakrishnan. (2009). “Sustainable Operation and Management of Data Center Chillers Using Temporal Data Mining.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557159
- (Prakash et al., 2009) ⇒ B. Aditya Prakash, Nicholas Valler, David Andersen, Michalis Faloutsos, and Christos Faloutsos. (2009). “BGP-lens: Patterns and Anomalies in Internet Routing Updates.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557160
- (Sculley et al., 2009) ⇒ D. Sculley, Robert G. Malkin, Sugato Basu, and Roberto J. Bayardo. (2009). “Predicting Bounce Rates in Sponsored Search Advertisements.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557161
- (Sun et al., 2009) ⇒ Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, and Jieping Ye. (2009). “Mining Brain Region Connectivity for Alzheimer's Disease Study via Sparse Inverse Covariance Estimation.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557162
- (Wang et al., 2009) ⇒ Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, and Wei Vivian Zhang. (2009). “Can We Learn a Template-independent Wrapper for News Article Extraction from a Single Training Site?.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557163
- (Wang et al., 2009) ⇒ Kuansan Wang, Toby Walker, and Zijian Zheng. (2009). “PSkip: Estimating Relevance Ranking Quality from Web Search Clickthrough Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557164
- (Xu et al., 2009) ⇒ Gu Xu, Shuang-Hong Yang, and Hang Li. (2009). “Named Entity Mining from Click-through Data Using Weakly Supervised Latent Dirichlet Allocation.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557165
- (Yang et al., 2009) ⇒ Jiang-Ming Yang, Rui Cai, Chunsong Wang, Hua Huang, Lei Zhang, and Wei-Ying Ma. (2009). “Incorporating Site-level Knowledge for Incremental Crawling of Web Forums: A List-wise Strategy.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557166
- (Ye et al., 2009) ⇒ Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, and Li Wan. (2009). “Intelligent File Scoring System for Malware Detection from the Gray List.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557167
- (Zhou et al., 2009) ⇒ Bin Zhou, Daxin Jiang, Jian Pei, and Hang Li. (2009). “OLAP on Search Logs: An Infrastructure Supporting Data-driven Applications in Search Engines.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557168
Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|
2009 KDD09Proceedingsofthe15thACMSIG | Ron Kohavi Mohammed J. Zaki Peter A. Flach Thomas Crook Roger Longbotham Brian Frasca John P. Elder Francoise Fogelman-Soulie | KDD'09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | KDD-2009 Proceedings | 2009 |