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Apolo: Interactive Large Graph Sensemaking by Combining Machine Learning and Visualization +
Applications of Data Mining and Machine Learning in Online Customer Care +
Applying Data Mining Techniques to Address Disaster Information Management Challenges on Mobile Devices +
Approximate Data Instance Aatching: A Survey +
Approximate Kernel K-means: Solution to Large Scale Kernel Clustering +
Are Propensity Scores Really Superior to Standard Multivariable Analysis? +
Article Clipper: A System for Web Article Extraction +
Ask Me Better Questions: Active Learning Queries based on Rule Induction +
Association Patterns for Data Modeling and Definition +
Automatic Wrappers for Large Scale Web Extraction +
Automatically Tagging Email by Leveraging Other Users' Folders +
Axiomatic Ranking of Network Role Similarity +
Benefits of Bias: Towards Better Characterization of Network Sampling +
Beyond Keyword Search: Discovering Relevant Scientific Literature +
Bid Landscape Forecasting in Online Ad Exchange Marketplace +
Big Data Glossary +
Bootstrapped Named Entity Recognition for Product Attribute Extraction +
Bounded Coordinate-descent for Biological Sequence Classification in High Dimensional Predictor Space +
Brain Effective Connectivity Modeling for Alzheimer's Disease by Sparse Gaussian Bayesian Network +
Broad Scale Predictive Modeling and Marketing Optimization in Retail Sales +
Budgeting: Politics and Power +
Building a Highly Consumable Semantic Model for Smarter Cities +
CHIRP: A New Classifier based on Composite Hypercubes on Iterated Random Projections +
CHIRP: A New Classifier based on Composite Hypercubes on Iterated Random Projections +
Calibration of Confidence Measures in Speech Recognition +
Cancer Genomics +
Chart of Accounts: A Critical Element of the Public Financial Management Framework +
Classification of Functional Magnetic Resonance Imaging Data Using Informative Pattern Features +
Classification of Proxy Labeled Examples for Marketing Segment Generation +
Click Shaping to Optimize Multiple Objectives +
Click Shaping to Optimize Multiple Objectives +
Cluster Analysis for Anomaly Detection in Accounting Data: An Audit Approach +
Clustering Very Large Multi-dimensional Datasets with MapReduce +
Clustering with Relative Constraints +
Collaborative Topic Modeling for Recommending Scientific Articles +
Collective Entity Linking in Web Text: A Graph-based Method +
Collective Graph Identification +
Combining File Content and File Relations for Cloud based Malware Detection +
Combining Information Sources for Confidence Estimation with CRF Models +
Common Component Analysis for Multiple Covariance Matrices +
Comparative Study of Clustering Techniques for Short Text Documents +
Compression of Weighted Graphs +
Computer-assisted Personalized Sedation for Upper Endoscopy and Colonoscopy: A Comparative, Multicenter Randomized Study +
Computer Science: An Overview (11th Edition) +
Conditional Topical Coding: An Efficient Topic Model Conditioned on Rich Features +
Content-driven Trust Propagation Framework +
Convex Optimization: From Embedded Real-time to Large-scale Distributed +
Coreference Resolution: A Review of General Methodologies and Applications in the Clinical Domain +
Cost-aware Travel Tour Recommendation +
Currency Wars: The Making of the Next Global Crisis +
Data-driven Multi-touch Attribution Models +
Data Intensive Analysis on the Gordon High Performance Data and Compute System +
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition +
Data Structures in the Multicore Age +
David Graeber, Debt: The First 5000 Years. New York: Melville House, 2011. +
Debt: The First 5000 Years +
Deming, Data and Observational Studies +
Democrats, Republicans and Starbucks Afficionados: User Classification in Twitter +
Density Estimation Trees +
Dependency-Based Rules For Grammar Checking With LanguageTool +
Design and Implementation of the Sweble Wikitext Parser: Unlocking the Structured Data of Wikipedia +
Detecting Adversarial Advertisements in the Wild +
Detecting Bots via Incremental LS-SVM Learning with Dynamic Feature Adaptation +
Differentially Private Data Release for Data Mining +
Direct Local Pattern Sampling by Efficient Two-step Random Procedures +
Discovering Highly Reliable Subgraphs in Uncertain Graphs +
Discovering Shakers from Evolving Entities via Cascading Graph Inference +
Discovering Spatio-temporal Causal Interactions in Traffic Data Streams +
Display Advertising Impact: Search Lift and Social Influence +
Distant Supervision for Relation Extraction Without Labeled Data +
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers +
Diversified Ranking on Large Graphs: An Optimization Viewpoint +
Diversity in Ranking via Resistive Graph Centers +
Domain Adaptation for Large-scale Sentiment Classification: A Deep Learning Approach +
Domain-specific Entity Extraction from Noisy, Unstructured Data Using Ontology-guided Search +
Driving with Knowledge from the Physical World +
Dual Active Feature and Sample Selection for Graph Classification +
Efficient Online Ad Serving in a Display Advertising Exchange +
Efficient Similarity Joins for Near-duplicate Detection +
Empirical Evaluation and Combination of Advanced Language Modeling Techniques. +
Enabling Fast Prediction for Ensemble Models on Data Streams +
Encyclopedia of Machine Learning +
Enhancing Investment Decisions in P2P Lending: An Investor Composition Perspective +
Entity Disambiguation with Hierarchical Topic Models +
Estimating the Number of Users Behind Ip Addresses for Combating Abusive Traffic +
Experiences with Mining Temporal Event Sequences from Electronic Medical Records: Initial Successes and Some Challenges +
Exploiting Place Features in Link Prediction on Location-based Social Networks +
Exploiting Vulnerability to Secure User Privacy on a Social Networking Site +
Extracting Structured Knowledge From ROM Textual Data In Software Repositories +
Extensions of Recurrent Neural Network Language Model +
Extraction, Selection and Ranking of Field Association (FA) Terms from Domain-specific Corpora for Building a Comprehensive FA terms dictionary +
FREyA: An Interactive Way of Querying Linked Data Using Natural Language +
Fast Approximate Similarity Search based on Degree-reduced Neighborhood Graphs +
Fast Clustering Using MapReduce +
Fast Coordinate Descent Methods with Variable Selection for Non-negative Matrix Factorization +
Fast Locality-sensitive Hashing +
Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons +
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations +
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions +
Friendship and Mobility: User Movement in Location-based Social Networks +