News & Highlights (this year’s items in bold)
- Metacluster-based Projective Clustering Ensembles
- ”Who’s out there?” Identifying and Ranking Lurkers in Social Networks
- Co-organized Workshop: MultiClust Workshop at ACM SIGKDD 2013
- Minimizing the variance of cluster mixture models for clustering uncertain objects
- A Segment-based Approach To Clustering Multi-Topic Documents
- Exploring Dictionary-based Semantic Relatedness in Labeled Tree Data
- Projective Clustering Ensembles
- Uncertain Centroid based Partitional Clustering of Uncertain Data
- XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure
- Co-organized Workshop: 3Clust Workshop at PAKDD 2012
- A Statistical Model for Topically Segmented Documents
- SIGIR Report on INEX 2010
Tags
classification clustering clustering ensembles document clustering DSA email mining fuzzy logics information extraction information networks linear programming mass spectrometry optimization PageRank PDF documents projective clustering semantic relatedness similarity detection subspace clustering time series uncertain data web content mining web personalization web usage mining web wrapping WordNet word sense disambiguation wrapping XML XML content clustering XML mining XML structure clustering
Category Archives: Book Chapters
The Scent of a Newsgroup – Providing Personalized Access to Usenet News through Web Mining
G. Manco, R. Ortale, A. Tagarelli. The Scent of a Newsgroup – Providing Personalized Access to Usenet News through Web Mining. In book: Handbook of Research on Text and Web Mining Technologies (2-vols), chap. XXXIV, pp. 393-414. Edited by M. Song and … Continue reading
Posted in Book Chapters
Tagged link analysis, web content mining, web personalization, web structure mining
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The Scent of a Newsgroup – Providing Personalized Access to Usenet News through Web Mining
G. Manco, R. Ortale, A. Tagarelli. The Scent of a Newsgroup – Providing Personalized Access to Usenet News through Web Mining. In book: Web Mining: Applications and Techniques, chap. XIX, pp. 393-414. Edited by A. Scime, State University of New York, USA. … Continue reading
Posted in Book Chapters
Tagged link analysis, web content mining, web personalization, web structure mining
Leave a comment