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TIARA: A Visual Exploratory Text Analytic System +
Temporal Pattern Mining in Symbolic Time Point and Time Interval Data +
Temporal Recommendation on Graphs via Long- and Short-term Preference Fusion +
Test Suite Design for Biomedical Ontology Concept Recognition Systems +
Text Mining to Fast-track Deserving Disability Applicants +
The Big Short: Inside the Doomsday Machine +
The Community-search Problem and how to plan a Successful Cocktail Party +
The Development and Evaluation of a Survey to Measure User Engagement +
The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles +
The Limits to Scarcity: Contesting the Politics of Allocation +
The Moral Landscape: How Science Can Determine Human Values +
The New Iris Data: Modular Data Generators +
The Next Generation of Transportation Systems,greenhouse Emissions, and Data Mining +
The Polarization of Job Opportunities in the US Labor Market: Implications for Employment and Earnings +
The Quantification of Advertising: (+ Lessons from Building Businesses based on Large Scale Data Mining) +
The S-Space Package: An Open Source Package for Word Space Models +
The Semantic Vectors Package: New Algorithms and Public Tools for Distributional Semantics +
The Singularity: A Philosophical Analysis +
The Topic-perspective Model for Social Tagging Systems +
TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles +
To Explain Or to Predict? +
Topic Dynamics: An Alternative Model of Bursts in Streams of Topics +
Topic Models with Power-law Using Pitman-Yor Process +
Toward an Architecture for Never-Ending Language Learning +
Towards Annotating and Extracting Textual Legal Case Elements +
Towards Automatic Personalized Content Generation for Platform Games +
Towards Mobility-based Clustering +
Toward Portable Information Extraction +
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM +
Training and Testing of Recommender Systems on Data Missing Not at Random +
Transaction Performance Vs. Moore's Law: A Trend Analysis +
Transfer Metric Learning by Learning Task Relationships +
Tropical Cyclone Event Sequence Similarity Search via Dimensionality Reduction and Metric Learning +
Trust Network Inference for Online Rating Data Using Generative Models +
UP-Growth: An Efficient Algorithm for High Utility Itemset Mining +
Unifying Dependent Clustering and Disparate Clustering for Non-homogeneous Data +
Universal Multi-dimensional Scaling +
Unsupervised Feature Selection for Multi-cluster Data +
Unsupervised Ontology Induction from Text +
Unsupervised Transfer Classification: Application to Text Categorization +
User Browsing Models: Relevance versus Examination +
Using BM25F for Semantic Search +
Using Data Mining Techniques to Address Critical Information Exchange Needs in Disaster Affected Public-private Networks +
Using Document Level Cross-event Inference to Improve Event Extraction +
Using Feature Construction to Avoid Large Feature Spaces in Text Classification +
Versatile Publishing for Privacy Preservation +
Web-scale Bayesian Click-through Rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine +
Why Does Unsupervised Pre-training Help Deep Learning? +
Why Label When You Can Search?: Alternatives to Active Learning for Applying Human Resources to Build Classification Models under Extreme Class Imbalance +
WiKi’mantics: Interpreting Ontologies with WikipediA +
WikiNet: A Very Large Scale Multi-Lingual Concept Network +
Wikipedia-based Approach for Linking Ontology Concepts to their Realisations in Text +
Word Representations: A Simple and General Method for Semi-supervised Learning +
Work Life in the Robotic Age +
You Are What You Measure +
2D-interval Predictions for Time Series +
An AHP-based Approach Toward Enterprise Architecture Analysis Based on Enterprise Architecture Quality Attributes +
A Case Study in a Recommender System based on Purchase Data +
A Comprehensive Survey of Neighborhood-based Recommendation Methods +
A Domain Specific Ontology Based Semantic Web Search Engine +
A GPU-tailored Approach for Training Kernelized SVMs +
A Game Theoretic Framework for Heterogenous Information Network Clustering +
A Generative Entity-mention Model for Linking Entities with Knowledge Base +
A Graph-based Algorithm for Inducing Lexical Taxonomies from Scratch +
A knowledge encapsulation approach to ontology modularization +
A Machine Learning Based Analytical Framework for Semantic Annotation Requirements +
A Multi-task Learning Formulation for Predicting Disease Progression +
A Multilevel UNL Concept based Searching and Ranking. +
A New Approach for Publishing Workflows: Abstractions, Standards, and Linked Data +
A Pattern Discovery Approach to Retail Fraud Detection +
A Relational View of Pattern Discovery +
A Simple Statistical Model and Association Rule Filtering for Classification +
A Stacked Sub-word Model for Joint Chinese Word Segmentation and Part-of-speech Tagging +
A System for Ontology-based Sharing of Expert Knowledge in Sustainability Science +
ATOM: Automatic Target-driven Ontology Merging +
A Taxi Business Intelligence System +
A Time-dependent Topic Model for Multiple Text Streams +
A Web of Knowledge: A Conceptual-Modeling Perspective +
Accelerating Large-scale Data Mining Using in-database Analytics +
Active Learning Using on-line Algorithms +
Active Learning for Node Classification in Assortative and Disassortative Networks +
Activity Analysis based on Low Sample Rate Smart Meters +
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization +
Advanced Language Technologies for Digital Libraries +
Advances in Deep Parsing of Scholarly Paper Content +
Adversarial Machine Learning +
Agent-based Computing from Multi-agent Systems to Agent-based Models: A Visual Survey +
Algorithms for Speeding Up Distance-based Outlier Detection +
Alone Together: Why We Expect More from Technology and Less from Each Other +
Ameliorating Buyer's Remorse +
An Effective Evaluation Measure for Clustering on Evolving Data Streams +
An Empirical Evaluation of Thompson Sampling +
An Ensemble Model That Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing +
An Improved GLMNET for L1-regularized Logistic Regression +
An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility +
An Information Theoretic Framework for Data Mining +
An Iterated Graph Laplacian Approach for Ranking on Manifolds +
Anomaly Localization for Network Data Streams with Graph Joint Sparse PCA +
Answer Set Programming at a Glance +
Answer Set Programming at a Glance +