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KDD
2004
ACM
195views Data Mining» more  KDD 2004»
16 years 7 months ago
Improved robustness of signature-based near-replica detection via lexicon randomization
Detection of near duplicate documents is an important problem in many data mining and information filtering applications. When faced with massive quantities of data, traditional d...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 7 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 7 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
2002
ACM
118views Data Mining» more  KDD 2002»
16 years 7 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
CHI
2008
ACM
16 years 7 months ago
Increasing the utility of quantitative empirical studies for meta-analysis
Despite the long history and consistent use of quantitative empirical methods to evaluate information visualization techniques and systems, our understanding of interface use rema...
Heidi Lam, Tamara Munzner
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