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IPPS
1999
IEEE
15 years 11 months ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
INFOSCALE
2006
ACM
16 years 24 days ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...
KDD
2004
ACM
109views Data Mining» more  KDD 2004»
16 years 7 months ago
Identifying early buyers from purchase data
Market research has shown that consumers exhibit a variety of different purchasing behaviors; specifically, some tend to purchase products earlier than other consumers. Identifyin...
Paat Rusmevichientong, Shenghuo Zhu, David Selinge...
ICDM
2010
IEEE
213views Data Mining» more  ICDM 2010»
15 years 4 months ago
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling
Citizen scientists, who are volunteers from the community that participate as field assistants in scientific studies [3], enable research to be performed at much larger spatial and...
Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 7 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian