Clustering and Information Retrieval (Hardcover)

Clustering in Metric Spaces with Applications to Information Retrieval.- Techniques for Clustering Massive Data Sets.- Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach.- On Quantitative Evaluation of Clustering Systems.- Techniques for Textual Document Indexing and Retrieval via Knowledge Sources and Data Mining.- Document Clustering, Visualization, and Retrieval via Link Mining.- Query Clustering in the Web Context.- Clustering Techniques for Large Database Cleansing.- A Science Data System Architecture for Information Retrieval.- Granular Computing for the Design of Information Retrieval Support Systems.