Database and Distributed Machine Learning
Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures
Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks
Discovering Group Skylines with Constraints by Early Candidate Pruning
Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data
A Higher-Fidelity Frugal Quantile Estimator
Recommender System
Fair Recommendations Through Diversity Promotion
A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data
Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities
Group Recommender Model Based on Preference Interaction
Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems
Social Network and Social Media
A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks
From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach
Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises
Efficient Revenue Maximization for Viral Marketing in Social Networks
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage
FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia
A Solution to Tweet-Based User Identification across Online Social Networks
Machine Learning
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning
Mixed Membership Sparse Gaussian Conditional Random Fields
Effects of Dynamic Subspacing in Random Forest
Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach
Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions
Classification and Clustering Methods
 StruClus: Scalable Structural Graph Set Clustering with Representative Sampling
Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification
Environmental Sound Recognition using Masked Conditional Neural Networks
Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure
A Framework for Clustering and Dynamic Maintenance of XML Documents
Language-independent Twitter Classification using Character-based Convolutional Networks
Behavior Modeling and User Profiling
Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues
An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors
An Approach for Identifying Author Profiles of Blogs
Generating Topics of Interests for Research Communities
An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples
Bioinformatic and Medical Data Analysis
Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties
Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers
Spatio-temporal Data
People-Centric Mobile Crowdsensing Platform for Urban Design
Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining
An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting
Mobile Robot Scheduling with Multiple Trips and Time Windows
Natural Language Processing and Text Mining
Feature Analysis for Duplicate Detection in Programming QA Communities
A Joint Human/Machine Process for Coding Events and Conflict Drivers
Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning
Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN
Entity Recognition by Distant Supervision with Soft List Constraint
Structured Sentiment Analysis
Data Mining Applications
Improving Real-Time Bidding Using a Constrained Markov Decision Process
PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments
Color-sketch simulator: a guide for color-based visual known-item search
Applications
Making Use of External Company Data to Improve the Classification of Bank Transactions
Mining Load Profile Patterns for Australian Electricity Consumers
STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing
Privacy and Utility Preservation for Location Data Using Stay Region Analysis
Location-aware Human Activity Recognition
Demos
SWYSWYK: a new Sharing Paradigm for the Personal Cloud
Tools and Infrastructure for Supporting Enterprise Knowledge Graphs
An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data
Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media
A system for Querying and Analyzing Urban Regions
Detect tracking behavior among trajectory data.