Opinion Mining and Sentiment Analysis
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model
Parallel Recursive Deep Model for Sentiment Analysis
Sentiment Analysis in Transcribed Utterances
Rating Entities and Aspects Using a Hierarchical Model
Sentiment Analysis on Microblogging by Integrating Text and Image Features
TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets during a Disaster for Reaction
Clustering
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data
Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints
Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling Based Nyström Method
pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts
Clustering Over Data Streams Based on Growing Neural Gas
Computing and Mining ClustCube Cubes Efficiently
Outlier and Anomaly Detection Contextual Anomaly Detection Using Log-Linear Tensor Factorization
A Semi-Supervised Framework for Social Spammer Detection
Fast One-Class Support Vector Machine for Novelty Detection
ND-SYNC: Detecting Synchronized Fraud Activities
An Embedding Scheme for Detecting Anomalous Block Structured Graphs
A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks
Mining Uncertain and Imprecise Data Mining Uncertain Sequential Patterns in Iterative MapReduce
Quality Control for Crowdsourced POI Collection
Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases
Preference-Based Top-k Representative Skyline Queries on Uncertain Databases
Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy
Mining Temporal and Spatial Data Automated Classification of Passing in Football
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records
Predicting Next Locations with Object Clustering and Trajectory Clustering
A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction
Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream
Feature Extraction and Selection Cost-Sensitive Feature Selection on Heterogeneous Data
A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking
A DC Programming Approach for Sparse Optimal Scoring
Graph Based Relational Features for Collective Classification
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data
Mining Heterogeneous, High Dimensional, and Sequential Data Seamlessly Integrating Effective Links with Attributes for Networked Data Classification
Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization
Locally Optimized Hashing for Nearest Neighbor Search
Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems
Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification
Entity Resolution and Topic Modelling Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage
Efficient Interactive Training Selection for Large-Scale Entity Resolution
Unsupervised Blocking Key Selection for Real-Time Entity Resolution
Incorporating Probabilistic Knowledge into Topic Models
Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs
Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network
Itemset and High Performance Data Mining CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets
Mining High Utility Itemsets in Big Data
Decomposition Based SAT Encodings for Itemset Mining Problems
A Comparative Study on Parallel LDA Algorithms in MapReduce Framework
Distributed Newton Methods for Regularized Logistic Regression
Recommendation
Coupled Matrix Factorization Within Non-IID Context
Complementary Usage of Tips and Reviews for Location Recommendation in Yelp
Coupling Multiple Views of Relations for Recommendation
Pairwise One Class Recommendation Algorithm
RIT: Enhancing Recommendation with Inferred Trust.