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Context-aware Citation Recommendation  +
Contextual Information Improves {OOV} Detection in Speech  +
Convolutional Deep Belief Networks on Cifar-10  +
Corpora for the Conceptualisation and Zoning of Scientific Papers  +
Corry: A System for Coreference Resolution  +
Corry: A System for Coreference Resolution  +
Creating Speech and Language Data with Amazon's Mechanical Turk  +
DUST: A Generalized Notion of Similarity Between Uncertain Time Series  +
Data-Intensive Text Processing with MapReduce  +
Data Mining Methods for Recommender Systems  +
Data Mining in the Online Services Industry  +
Data Mining to Predict and Prevent Errors in Health Insurance Claims Processing  +
Data Mining with Differential Privacy  +
Data Winnowing  +
Designing Efficient Cascaded Classifiers: Tradeoff Between Accuracy and Cost  +
Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based Manipulative Trading Behaviors  +
Detecting Duplicate Biological Entities Using Markov Random Field-based Edit Distance  +
Diagnosing Memory Leaks Using Graph Mining on Heap Dumps  +
Direct Mining of Discriminative Patterns for Classifying Uncertain Data  +
Discovering Frequent Patterns in Sensitive Data  +
Discovering Frequent Subgraphs over Uncertain Graph Databases under Probabilistic Semantics  +
Discovering Precursors to Aviation Safety Incidents: From Massive Data to Actionable Information  +
Discovering Significant Relaxed Order-preserving Submatrices  +
Discovery of Significant Emerging Trends  +
Discriminative Topic Modeling based on Manifold Learning  +
DivRank: The Interplay of Prestige and Diversity in Information Networks  +
Document Clustering via Dirichlet Process Mixture Model with Feature Selection  +
Domain Driven Data Mining  +
Dremel: Interactive Analysis of Web-scale Datasets  +
Drug Harms in the UK: A Multicriteria Decision Analysis  +
Dynamics of Conversations  +
Efficient Graph-based Semi-supervised Learning of Structured Tagging Models  +
End-to-end Coreference Resolution via Hypergraph Partitioning  +
Enhancing Search with Structure  +
Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions  +
Ensemble Pruning via Individual Contribution Ordering  +
Ensemble-based Classifiers  +
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers  +
Estimating Rates of Rare Events with Multiple Hierarchies through Scalable Log-linear Models  +
Evaluating Online Ad Campaigns in a Pipeline: Causal Models at Scale  +
Evolutionary Hierarchical Dirichlet Processes for Multiple Correlated Time-varying Corpora  +
Experimental Design and Analysis  +
Expert Identification in Community Question Answering: Exploring Question Selection Bias  +
Exploitation and Exploration in a Performance based Contextual Advertising System  +
Exploring Co-Reference Chains for Concept Annotation of Domain Texts  +
Extracting Sequences from the Web  +
Extracting Temporal Signatures for Comprehending Systems Biology Models  +
Factorization Machines  +
Fast Euclidean Minimum Spanning Tree: Algorithm, Analysis, and Applications  +
Fast Nearest-neighbor Search in Disk-resident Graphs  +
Fast Online Learning through Offline Initialization for Time-sensitive Recommendation  +
Fast Query Execution for Retrieval Models based on Path-constrained Random Walks  +
Fast Regular Expression Matching Using Small TCAMs for Network Intrusion Detection and Prevention Systems  +
Feature Selection for Support Vector Regression Using Probabilistic Prediction  +
Finding Effectors in Social Networks  +
Flexible Constrained Spectral Clustering  +
Flexible Ontology Population from Text: The OwlExporter  +
Formal Description of Resources for Ontology-based Semantic Annotation  +
Frameworks for Entity Matching: A Comparison  +
Frequent Regular Itemset Mining  +
From Frequency to Meaning: Vector Space Models of Semantics  +
From RankNet to LambdaRank to LambdaMART: An Overview  +
GLS-SOD: A Generalized Local Statistical Approach for Spatial Outlier Detection  +
Generative Models for Ticket Resolution in Expert Networks  +
Geometric Tools for Graph Mining of Large Social and Information Networks  +
Grafting-light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields  +
Graph Data Management and Mining: A Survey of Algorithms and Applications  +
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata  +
Hidden Semi-Markov Models  +
Higher-order Logic Learning and Lambda-Progol  +
Hilbert Space Embeddings of Hidden Markov Models  +
How Pleasure Works: The New Science of Why We Like What We Like  +
Identifying Generic Noun Phrases  +
Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes  +
Indexing and Mining Time Sequences  +
Inducing Domain-specific Semantic Class Taggers from (almost) Nothing  +
Inductive Logic Programming As Abductive Search  +
Inferring Networks of Diffusion and Influence  +
Integrating Keywords and Semantics on Document Annotation and Search  +
International Encyclopedia of Statistical Science  +
Introduction to Stochastic Processes  +
Joint Covariate Selection and Joint Subspace Selection for Multiple Classification Problems  +
Joint Inference for Knowledge Extraction from Biomedical Literature  +
k-Support Anonymity based on Pseudo Taxonomy for Outsourcing of Frequent Itemset Mining  +
KYOTO: An open platform for mining facts  +
Knowledge-based Vector Space Model for Text Clustering  +
Knowledge-rich Word Sense Disambiguation Rivaling Supervised Systems  +
LTP: A Chinese Language Technology Platform  +
Large Linear Classification When Data Cannot Fit in Memory  +
Large Scale Image Annotation: Learning to Rank with Joint Word-image Embeddings  +
Large-scale Machine Learning with Stochastic Gradient Descent  +
Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach  +
Learning Author-topic Models from Text Corpora  +
Learning Incoherent Sparse and Low-rank Patterns from Multiple Tasks  +
Learning Word-class Lattices for Definition and Hypernym Extraction  +
Learning through Exploration  +
Learning to Combine Discriminative Classifiers: Confidence based  +
Learning with Cost Intervals  +
Lightweight Ontologies  +
Long-term Management of Chronic Immune Thrombocytopenic Purpura in Adults  +