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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 6 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
16 years 6 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
EDM
2009
127views Data Mining» more  EDM 2009»
15 years 3 months ago
How do Students Organize Personal Information Spaces?
The purpose of this study is to empirically reveal strategies of students' organization of learning-related digital materials within an online personal information archive. Re...
Sharon Hardof-Jaffe, Arnon Hershkovitz, Hama Abu-K...
WWW
2009
ACM
15 years 10 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, ...
AIRWEB
2007
Springer
15 years 11 months ago
Using Spam Farm to Boost PageRank
Nowadays web spamming has emerged to take the economic advantage of high search rankings and threatened the accuracy and fairness of those rankings. Understanding spamming techniq...
Ye Du, Yaoyun Shi, Xin Zhao