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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Annals of operations research Ročník 197; číslo 1; s. 123 - 134
Hlavní autori:	Kou, Gang, Lou, Chunwei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Boston Springer US 01.08.2012 Springer Science + Business Media Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!