Webmining: learning from the world wide web.

DOI10.1016/S0167-9473(01)00076-7zbMath1072.68639OpenAlexW2064450304MaRDI QIDQ5958481

Thomas Kolenda, Lars Kai Hansen, Torben Christiansen, Jan Larsen, Anna Szymkowiak Have

Publication date: 3 March 2002

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(01)00076-7

zbMATH Keywords

Hierarchical probabilistic clusteringUnsupervised learningWebmining

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (3)

Optimal implementations of UPGMA and other common clustering algorithms ⋮ Improved Generative Semisupervised Learning Based on Finely Grained Component-Conditional Class Labeling ⋮ A tandem clustering process for multimodal datasets

Cites Work

• Text classification from labeled and unlabeled documents using EM
• Fitting autoregressive models for prediction
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