Complete Schedule

Legenda

Technical Sessions

• NOE — Anomalies, Missing Values and Outliers
• App1 — Applications 1
• App2 — Applications 2
• Clas1 — Classification 1
• Clas2 — Classification 2
• Clust1 — Clustering 1
• Clust2 — Clustering 2
• CC+Sampling — Co-Clustering and High-dimensional data
• DS+Priv — Data Streams and Privacy
• FES — Features selection and dimensionality reduction
• FP+AR — Frequent Patterns and Association Rules
• GM1 — Graph Mining 1
• GM2 — Graph Mining 2
• Learn — Learning from different perspectives
• MTM — Matrix-Theoretic Methods
• MNS — Mining Networks and Large Graphs
• Evol — Mining the Evolution
• PM+SM — Probabilistic and Statistical Methods
• RSCS — Recommender Systems and Collaborative Filtering
• SSL — Semi-Supervised Learning
• SSM1 — Sequence Analysis 1
• SSM2 — Sequence Analysis 2
• ST+TS — Temporal and Spatio-temporal Data Mining
• TM — Text mining
• Visual — Visual Analytics

Tutorials

• T1 – Integration of Classification and Pattern Mining
• T2 – Privacy-Preserving Location Services

• T3 – Sample Selection Bias – Covariate Shift
• T4 – Mining Ubiquitous Data Streams

Workshops

• RIKD – Reliability Issues in Knowledge Discovery
• DDDM – The Second International Workshop on Domain Driven Data Mining
• MCD – Mining complex data
• SSTDM – Spatial and Spatio-temporal data mining
• HPDM – 10th International workshop on high performance data mining
• FDM – Foundations of Data Mining
• SADM – First International Workshop on Semantic Aspects in Data Mining
• DMDM – Data Mining for Design and Marketing
• VM – Video mining
• ADN – Analysis of dynamic networks