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» Mining a Web Citation Database for Document Clustering
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LAWEB
2006
IEEE
15 years 7 months ago
Analysis of Web Search Engine Clicked Documents
In this paper we process and analyze web search engine query and click data from the perspective of the documents (URL’s) selected. We initially define possible document categor...
David F. Nettleton, Liliana Calderón-Benavi...
WWW
2009
ACM
15 years 6 months ago
Extracting data records from the web using tag path clustering
Fully automatic methods that extract lists of objects from the Web have been studied extensively. Record extraction, the first step of this object extraction process, identifies...
Gengxin Miao, Jun'ichi Tatemura, Wang-Pin Hsiung, ...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 2 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
123
Voted
CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 1 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 8 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava