DMIN 2008: Las Vegas, Nevada, USA

Classification and Regression I

Classification and Regression II

Classification and Regression III

Feature Selection and Transformation, Sampling and Rebalancing

Forecasting and Time Series Modelling

Forecasting and Time Series Modelling II

Frequent Itemsets and Association Rule Mining

Fuzzy Logic and Rough Sets

Knowledge Discovery Applications, Data Warehousing and OLAP

Multimedia Mining, Mining Text, Semi-Structured Data and Data Streams

Outlier Detection and Novelty Detection

Parallel Algorithms, Grid Computing, Metaheuristics

Privacy Preserving Data Mining

Segmentation and Clustering

Segmentation and Clustering II

Web and Social Networks Mining I

Web and Social Networks Mining II

Late Papers