WIR 2012 - Workshop on Information retrieval

Areas of interest include, but are not limited to
Data mining algorithms (supervised, semi-supervised and unsupervised)
Data mining foundations and theory
Dimensionality reduction and feature selection
Mining dynamic and evolving data
Mining graph data
Mining semi-structured data
Mining spatial and temporal data
Mining stream data
Mixed-initiative data mining and active learning
Outlier analysis and anomaly detection
Parallel and distributed data mining algorithms
Pattern mining and association analysis
Robust and highly scalable data mining algorithms
Similarity search in data mining
Biological and medical data mining
Software mining
Data mining in social sciences and on social networks
Mining sensor data
Mining user behavioral and feedback data
Mining the Web and text data
Multimedia data mining
Data mining for other novel applications
Data integration and indexing for data mining
Data visualization for data mining
KDD methodology and process
Platforms and systems for KDD
Pre-processing and post-processing in data mining
Security and privacy issues in data mining
Social network data mining