Multiple factor hierarchical clustering algorithm for large scale web page and search engine clickstream data

The developments in World Wide Web and the advances in digital data collection and storage technologies during the last two decades allow companies and organizations to store and share huge amounts of electronic documents. It is hard and inefficient to manually organize, analyze and present these do...

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Bibliographic Details
Published in:	Annals of operations research Vol. 197; no. 1; pp. 123 - 134
Main Authors:	Kou, Gang, Lou, Chunwei
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.08.2012 Springer Science + Business Media Springer Nature B.V
Subjects:	Algorithms Business and Management Clustering Clusters Collection Combinatorics Data collection Data mining Electronics Information retrieval Machine learning Operations research Operations Research/Decision Theory Search engines Searching Theory of Computation Websites World Wide Web Multiple criteria decision making Clickstream analysis K-means algorithm Information retrieval Multiple factor hierarchical algorithm Web page clustering
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
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