Webmining: Learning from the World Wide Web

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

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	Computational Statistics & Data Analysis
Volume	38
Issue number	4
Pages (from-to)	517-532
ISSN	0167-9473
Publication status	Published - 2002

Keywords

@article{0e874c3b94da4831b10e8c22f4a4bcb8,

title = "Webmining: Learning from the World Wide Web",

keywords = "hierarchical clustering, gaussian mixture model, webmining",

author = "Jan Larsen and Hansen, \{Lars Kai\} and Have, \{Anna Szymkowiak\} and Torben Christiansen and Thomas Kolenda",

year = "2002",

language = "English",

volume = "38",

pages = "517--532",

journal = "Computational Statistics \& Data Analysis",

issn = "0167-9473",

publisher = "Elsevier",

number = "4",

}

TY - JOUR

T1 - Webmining: Learning from the World Wide Web

AU - Larsen, Jan

AU - Hansen, Lars Kai

AU - Have, Anna Szymkowiak

AU - Christiansen, Torben

AU - Kolenda, Thomas

PY - 2002

Y1 - 2002

KW - hierarchical clustering

KW - gaussian mixture model

KW - webmining

M3 - Journal article

SN - 0167-9473

VL - 38

SP - 517

EP - 532

JO - Computational Statistics & Data Analysis

JF - Computational Statistics & Data Analysis

IS - 4

ER -