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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 7 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
16 years 7 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
16 years 7 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
16 years 16 days ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
KDD
1997
ACM
128views Data Mining» more  KDD 1997»
15 years 11 months ago
An Interactive Visualization Environment for Data Exploration
Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
Mark Derthick, John Kolojejchick, Steven F. Roth