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» Data Mining and Database Systems: Where is the Intersection
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ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 26 days ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 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
DPD
2002
168views more  DPD 2002»
13 years 7 months ago
Evolutionary Algorithms for Allocating Data in Distributed Database Systems
A major cost in executing queries in a distributed database system is the data transfer cost incurred in transferring relations (fragments) accessed by a query from different sites...
Ishfaq Ahmad, Kamalakar Karlapalem, Yu-Kwong Kwok,...
DMS
2010
189views Multimedia» more  DMS 2010»
13 years 5 months ago
Visualizing the Commonalities Between Hierarchically Structured Data Queries
Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
Chad Jones, Ryan Armstrong, Kwan-Liu Ma
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
14 years 8 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...