A coarse sort of papers in ICDE 2014 mainly based on their titles and abstracts. Some papers belong to different categories.

• Relevant Contents
  DM207 (Log-linear Analysis, Conditional Dependency), DM222 (Cross-modal Data)
• Data Streams Analysis
  DM229 (Co-evolving, HMM), DM403 (Time Series Join)
• Structure Learning
  DM255 (Lasso+)
• Uncertain
  DM263 (Trajectory, Partial Observation), DM275 (Multi-label, Visual Mining)
• Representation Learning
  DM264 (RBM++)
• Prediction
  DM362 (Latent Dirichlet Allocation), DM397 (Heterogeneous Collective Link)
• Regression
  DM431 (Sparse Quantile Regression)
• Dimension Reduction
  DM248 (Spectral Embedding+)
• Entity Detection
  DM433 (Randomized)
• Clustering
  DM452 (Subspace), DM (Past Similar, Hidden Markov Random Field)
• Feature Selection
  DM249 (Noise-Resistant), DM261 (LDA+, Contentious Text Mining), DM267 (Multi-view Learning), DM459 (Online), DM463 (Multi-view Learning, Subspace), DM154 (Core Finding), DM749 (Mobility Relationship), DM764 (Mobility Pattern), DM821 (Spatiotemporal Social Contact)
• Recommendation
  DM462 (Differential Privacy), DM508 (Similarity Learning), DM560 (k-Nearest-Neighbors, Real Time), DM669 (Low-rank, Top K)
• Text Mining
  DM465 (Matrix Factorization), DM896 (Technology Prospecting, Patent)
• Anomaly Detection
  DM270 (Spam), DM300 (Traffic Flow), DM474 (Streaming Data, Density), DM566 (Credibility Evaluation), DM604 (Poisson), DM923 (Traffic Congestion, Markov Random Fields)
• Classification
  DM254 (Time Series), DM317 (Time Series, Subsequence Patterns), DM351 (Multi-label), DM353 (Cost-Sensitive), DM383 (SVM, Dynamic Graph), DM488 (Streaming Networks), DM694 (Multi-view Learning), DM706 (Early Classification, Ongoing Observation), DM767 (Time Series), DM786 (Sequential Pattern),
• Distance Metric Learning
  DM577 (Rank)
• Matrix Factorization
  DM282, DM701, DM883 (Collaborative Prediction)
• Relational Machine Learning
  DM804 (Expectation Maximization+)