DocumentCode :
1393723
Title :
Knowledge Discovery in the Blogosphere: Approaches and Challenges
Author :
Lakshmanan, Geetika T. ; Oberhofer, Martin A.
Volume :
14
Issue :
2
fYear :
2010
Firstpage :
24
Lastpage :
32
Abstract :
Knowledge discovery in blogs is different from knowledge discovery in areas such as databases or Web documents due to blogs´ unique characteristics, which introduce additional mining challenges. Although researchers have investigated several techniques to address different aspects of blog discovery, no comparisons among key knowledge discovery techniques for blogs exist. This article examines three prominent techniques that are frequently applied to discovery in blogs - clustering, matrix decomposition, and ranking. The authors compare them in terms of effectiveness in combating present challenges and their ability to accomplish challenging tasks required for effective blog mining.
Keywords :
Web sites; data mining; matrix decomposition; pattern clustering; Web documents; blog mining; blogosphere; knowledge discovery; matrix decomposition; artificial intelligence; blogs; clustering; collective wisdom; computing methodologies; database applications; database management; information search and retrieval; information storage and retrieval; information technology and systems; interactive data exploration and discovery; knowledge management; knowledge retrieval; mining methods and algorithms; topic detection; trend analysis;
fLanguage :
English
Journal_Title :
Internet Computing, IEEE
Publisher :
ieee
ISSN :
1089-7801
Type :
jour
DOI :
10.1109/MIC.2010.26
Filename :
5396304
Link To Document :
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