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CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 8 months ago
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
Michael Hahsler
SIGKDD
2002
232views more  SIGKDD 2002»
13 years 8 months ago
The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing
In database marketing, data mining has been used extensively to find the optimal customer targets so as to maximize return on investment. In particular, using marketing campaign d...
Victor S. Y. Lo
IEEEICCI
2002
IEEE
14 years 1 months ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi
ICRA
2009
IEEE
103views Robotics» more  ICRA 2009»
14 years 3 months ago
Finding good cycle constraints for large scale multi-robot SLAM
Abstract— In this paper we describe an algorithm to compute cycle constraints that can be used in many graph-based SLAM algorithms; we exemplify it in Hierarchical SLAM. Our algo...
Carlos Estrada, José Neira, Juan D. Tard&oa...
ICDM
2009
IEEE
134views Data Mining» more  ICDM 2009»
13 years 6 months ago
Efficient Discovery of Confounders in Large Data Sets
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
Wenjun Zhou, Hui Xiong