Mining interesting knowledge from weblogs: a survey

被引：140

作者：

Facca, FM ^{[1
]}

Lanzi, PL ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Elettron & Informaz, Artificial Intelligence & Robot Lab, I-20133 Milan, Italy

来源：

DATA & KNOWLEDGE ENGINEERING | 2005年 / 53卷 / 03期

关键词：

machine learning; Web Mining;

D O I：

10.1016/j.datak.2004.08.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Web Usage Mining is that area of Web Mining which deals with the extraction of interesting knowledge from logging information produced by Web servers. In this paper we present a survey of the recent developments in this area that is receiving increasing attention from the Data Mining community. (c) 2004 Elsevier B.V. All rights reserved.

引用

页码：225 / 241

页数：17

共 89 条

[1]

ADOMAVICIUS G, 2001, WORKSH INT TECHN WEB

[2]

ANDERSEN J, 2000, INT WORKSH DAT WAR O

[3]

Anderson Corin R, 2002, P 8 ACM SIGKDD INT C

[4]

Anderson CR, 2002, THESIS U WASHINGTON

[5]

[Anonymous], W3C EXTENDED LOG FIL

[6]

[Anonymous], 1995, OFFICIAL J EUROPEAN, P31

[7]

[Anonymous], P 8 ACM SIGKDD INT C

[8]

[Anonymous], 2000, Privacy-preserving data mining, DOI DOI 10.1145/342009.335438

[9]

ANSARI S, 2001, P 2001 IEEE INT C DA

[10]

ANSARI S, 2000, WEBKDD 2000 WEB MIN

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