KDD 2009 References Analysis Report
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A KDD-2009 References Analysis Report is a KDD references analysis report for the KDD 2009 Proceedings.
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- See: ACM Digital Library, Bibliometric Analysis.
References
2011-08-31 KDD 2009 References Analysis Report
(note: this data was extracted semi-automatically so there are likely some inaccuracies).
Row Identifier | References Count Rank | References Count | Referenced Publication (short + hyperlink) | Referenced Publication (full citation string) |
---|---|---|---|---|
1 | 1 | 9 | (Kleinberg, 1999) | Jon M. Kleinberg, Authoritative Sources in a Hyperlinked Environment. In: Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, p.668-677, January 25-27, 1998, San Francisco, California, United States |
2 | 1 | 9 | (Wasserman & Faust, 1994) | Stanley Wasserman and Katherine Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge, 1994. |
3 | 2 | 8 | (Blei, Ng & Jordan, 2003)[1] | David M. Blei, Andrew Y. Ng, Michael I. Jordan, Latent Dirichlet Allocation. In: The Journal of Machine Learning Research, 3, p.993-1022, 3/1/2003 doi:10.1162/jmlr.2003.3.4-5.993 |
4 | 2 | 8 | (Brin & Page, 1998) | Sergey Brin, Lawrence Page, The Anatomy of a Large-scale Hypertextual Web Search Engine. In: Computer Networks and ISDN Systems, v.30 n.1-7, p.107-117, April 1, 1998 doi:10.1016/S0169-7552(98)00110-X |
5 | 3 | 7 | (Asuncion & Newman, 2007) | Asuncion, A &1Newman, D.J. (2007). UCI Machine Learning Repository {http://www.ics.uci.edu/~mlearn/MLRepository.html}. Irvine, CA: University of California, School of Information and Computer Science. |
6 | 3 | 7 | (Joachims, 2002c) | Thorsten Joachims, Optimizing Search Engines Using Clickthrough Data. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada doi:10.1145/775047.775067 |
7 | 4 | 6 | (Agrawal & Srikant, 1994) | Rakesh Agrawal, Ramakrishnan Srikant, Fast Algorithms for Mining Association Rules in Large Databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, p.487-499, September 12-15, 1994 |
8 | 4 | 6 | (Backstrom et al., 2006) | Lars Backstrom, Dan Huttenlocher, Jon M. Kleinberg, Xiangyang Lan, Group Formation in Large Social Networks: Membership, Growth, and Evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 20-23, 2006, Philadelphia, PA, USA doi:10.1145/1150402.1150412 |
9 | 4 | 6 | (Bishop, 2006) | Christopher M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc., Secaucus, NJ, 2006 |
10 | 4 | 6 | (Boyd & Vandenberghe, 2004) | Stephen Boyd, Lieven Vandenberghe, Convex Optimization, Cambridge University Press, New York, NY, 2004 |
11 | 4 | 6 | (Dean & Ghemawat, 2004) | Jeffrey Dean, Sanjay Ghemawat, MapReduce: Simplified Data Processing on Large Clusters. In: Proceedings of the 6th Conference on Symposium on Opearting Systems Design & Implementation, p.10-10, December 06-08, 2004, San Francisco, CA |
12 | 4 | 6 | (Dempster et al., 1977) | Arthur P. Dempster, Nan Laird, Donald Rubin, Et Al. Maximum Likelihood from Incomplete Data via the EM Algorithm. In: Journal of the Royal Statistical Society, 39(1):1--38, 1977. |
13 | 4 | 6 | (Hofmann, 1999) | Thomas Hofmann, Probabilistic Latent Semantic Indexing. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, p.50-57, August 15-19, 1999, Berkeley, California, United States doi:10.1145/312624.312649 |
14 | 4 | 6 | (Joachims et al., 2005) | Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Geri Gay, Accurately Interpreting Clickthrough Data As Implicit Feedback. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 15-19, 2005, Salvador, Brazil doi:10.1145/1076034.1076063 |
15 | 4 | 6 | (Newman, 2003) | M. E. J. Newman. The Structure and Function of Complex Networks. In: SIAM Review, 45:167--256, 2003. |
16 | 4 | 6 | (Witten & Frank, 2005) | Ian H. Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. In: (Morgan Kaufmann Series in Data Management Systems), Morgan Kaufmann Publishers Inc., San Francisco, CA, 2005 |
17 | 4 | 6 | (Zhu et al., 2003) | Xiaojin Zhu, John D. Lafferty, and Zoubin Ghahramani. Combining Active Learning and Semi-supervised Learning Using Gaussian Fields and Harmonic Functions. In: Proceedings of ICML 2003 Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003. |
18 | 5 | 5 | (Bell et al., 2007) | Robert Bell, Yehuda Koren, Chris Volinsky, Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 12-15, 2007, San Jose, California, USA doi:10.1145/1281192.1281206 |
19 | 5 | 5 | (Han et al., 2000) | Jiawei Han, Jian Pei, Yiwen Yin, Mining Frequent Patterns Without Candidate Generation. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, p.1-12, May 15-18, 2000, Dallas, Texas, United States doi:10.1145/342009.335372 |
20 | 5 | 5 | (Hastie et al., 2001)[2] | Trevor Hastie, Robert Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Publishing Company, New York, NY, 2001. |
21 | 5 | 5 | (Jones et al., 2006) | Rosie Jones, Benjamin Rey, Omid Madani, Wiley Greiner, Generating Query Substitutions. In: Proceedings of the 15th International Conference on World Wide Web, May 23-26, 2006, Edinburgh, Scotland doi:10.1145/1135777.1135835 |
22 | 5 | 5 | (Lafferty et al., 2001) | John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In: Proceedings of the Eighteenth International Conference on Machine Learning, p.282-289, June 28-July 01, 2001 |
23 | 5 | 5 | (Leskovec et al., 2005) | Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos, Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, August 21-24, 2005, Chicago, Illinois, USA doi:10.1145/1081870.1081893 |
24 | 5 | 5 | (Page et al., 1998) | Lawrence Page, Sergey Brin, Rajeev Motwani, and T. Winograd. The PageRank citation ranking: Bringing order to the web. In: Technical report, Stanford Digital Library Technologies Project, Stanford University, Stanford, CA, USA, 1998. |
25 | 5 | 5 | (Shi & Malik, 2000) | Jianbo Shi, Jitendra Malik, Normalized Cuts and Image Segmentation. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, v.22 n.8, p.888-905, August 2000 doi:10.1109/34.868688 |
26 | 5 | 5 | (Tibshirani, 1996) | Robert Tibshirani. Regression Shrinkage and Selection via the Lasso. In: Journal of the Royal Statistical Society: Series B, 58(1):267--288, 1996. |
27 | 5 | 5 | (Zhu, 2005) | Xiaojin Zhu. Semi-supervised Learning Literature Survey. Technical Report 1530, Department of Computer Sciences, University of Wisconsin, Madison, 2005. |
28 | 6 | 4 | (Adamic & Glance, 2005) | Lada A. Adamic, Natalie Glance, The Political Blogosphere and the 2004 U.S. Election: Divided They Blog. In: Proceedings of the 3rd International Workshop on Link Discovery, p.36-43, August 21-25, 2005, Chicago, Illinois doi:10.1145/1134271.1134277 |
29 | 6 | 4 | (Agichtein et al., 2006) | Eugene Agichtein, Eric Brill, Susan Dumais, Robert Ragno, Learning User Interaction Models for Predicting Web Search Result Preferences. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 06-11, 2006, Seattle, Washington, USA doi:10.1145/1148170.1148175 |
30 | 6 | 4 | (Agrawal et al., 1993) | Rakesh Agrawal, Tomasz Imielinski, Arun Swami, Mining Association Rules Between Sets of Items in Large Databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, p.207-216, May 25-28, 1993, Washington, D.C., United States doi:10.1145/170035.170072 |
31 | 6 | 4 | (Barabasi & Albert, 1999) | Albert-László Barabási and Réka Albert. Emergence of Scaling in Random Networks. In: Science, 286(5439):509--512, October 1999. |
32 | 6 | 4 | (Cao et al., 2008) | Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li, Context-aware Query Suggestion by Mining Click-through and Session Data. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401995 |
33 | 6 | 4 | (Chakrabarti & Faloutsos, 2006) | Deepayan Chakrabarti, Christos Faloutsos, Graph Mining: Laws, Generators, and Algorithms. In: ACM Computing Surveyss (CSUR), v.38 n.1, p.2-es, 2006 doi:http://dx.doi.org/10.1145/1132952.1132954 |
34 | 6 | 4 | (Crandall et al., 2008) | David Crandall, Dan Cosley, Daniel Huttenlocher, Jon M. Kleinberg, Siddharth Suri, Feedback Effects Between Similarity and Social Influence in Online Communities. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401914 |
35 | 6 | 4 | (Das et al., 2007) | Abhinandan S. Das, Mayur Datar, Ashutosh Garg, Shyam Rajaram, Google News Personalization: Scalable Online Collaborative Filtering. In: Proceedings of the 16th International Conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada doi:10.1145/1242572.1242610 |
36 | 6 | 4 | (Dhillon et al., 2003) | Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha, Information-theoretic Co-clustering. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, D.C. doi:10.1145/956750.956764 |
37 | 6 | 4 | (Domingos & Hulten, 2000) | Pedro Domingos, Geoff Hulten, Mining High-speed Data Streams. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p.71-80, August 20-23, 2000, Boston, Massachusetts, United States doi:10.1145/347090.347107 |
38 | 6 | 4 | (Duda et al., 2000) | Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification (2nd Edition). Wiley-Interscience, 2000 |
39 | 6 | 4 | (Joachims et al., 2007) | Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, Geri Gay, Evaluating the Accuracy of Implicit Feedback from Clicks and Query Reformulations in Web Search. In: ACM Transactions on Information Systems (TOIS), v.25 n.2, p.7-es, April 2007 doi:10.1145/1229179.1229181 |
40 | 6 | 4 | (Kempe et al., 2003) | David Kempe, Jon M. Kleinberg, Éva Tardos, Maximizing the Spread of Influence through a Social Network. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, D.C. doi:10.1145/956750.956769 |
41 | 6 | 4 | (Koren, 2008) | Yehuda Koren, Factorization Meets the Neighborhood: A Multifaceted Collaborative Filtering Model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401944 |
42 | 6 | 4 | (Leskovec, Backstrom et al., 2008) | Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew Tomkins, Microscopic Evolution of Social Networks. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401948 |
43 | 6 | 4 | (Leskovec, Lang et al., 2008) | Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney, Statistical Properties of Community Structure in Large Social and Information Networks. In: Proceedings of the 17th International Conference on World Wide Web, April 21-25, 2008, Beijing, China doi:10.1145/1367497.1367591 |
44 | 6 | 4 | (Liu & Nocedal, 1989) | Dong C. Liu, Jorge Nocedal, On the Limited Memory BFGS Method for Large Scale Optimization. In: Mathematical Programming: Series A and B, v.45 n.3, p.503-528, Dec. 1989 doi:10.1007/BF01589116 |
45 | 6 | 4 | (McCallum et al., 2000) | Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore, Automating the Construction of Internet Portals with Machine Learning, Information Retrieval, v.3 n.2, p.127-163, July 2000 doi:10.1023/A:1009953814988 |
46 | 6 | 4 | (Mei et al., 2008) | Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai, Topic Modeling with Network Regularization. In: Proceedings of the 17th International Conference on World Wide Web, April 21-25, 2008, Beijing, China doi:10.1145/1367497.1367512 |
47 | 6 | 4 | (Newman, 2006) | M. E. J. Newman. Modularity and Community Structure in Networks. In: Proceedings of the National Academy of Sciences, 103(23), 2006. |
48 | 6 | 4 | (Richardson et al., 2007) | Matthew Richardson, Ewa Dominowska, Robert Ragno, Predicting Clicks: Estimating the Click-through Rate for New Ads. In: Proceedings of the 16th International Conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada doi:10.1145/1242572.1242643 |
49 | 6 | 4 | (Sheng et al., 2008) | Victor S. Sheng, Foster Provost, Panagiotis G. Ipeirotis, Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2008, Las Vegas, Nevada, USA doi:10.1145/1401890.1401965 |
50 | 6 | 4 | (Sun et al., 2007) | Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu, GraphScope: Parameter-free Mining of Large Time-evolving Graphs. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 12-15, 2007, San Jose, California, USA doi:10.1145/1281192.1281266 |
51 | 6 | 4 | (Watts & Strogatz, 1998) | Duncan J. Watts and Steven H. Strogatz. Collective Dynamics of 'small-world' Networks. In: Nature, 393(6684):440--442, June 1998. |
3,280 | Total Reference Items (entire proceedings) |