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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 1 months ago
DXCS: an XCS system for distributed data mining
XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
WEBDB
2004
Springer
202views Database» more  WEBDB 2004»
14 years 1 months ago
Mining Approximate Functional Dependencies and Concept Similarities to Answer Imprecise Queries
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...
Ullas Nambiar, Subbarao Kambhampati
PRL
2010
205views more  PRL 2010»
13 years 2 months ago
Mining outliers with faster cutoff update and space utilization
It is desirable to find unusual data objects by Ramaswamy et al's distance-based outlier definition because only a metric distance function between two objects is required. It...
Chi-Cheong Szeto, Edward Hung
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 2 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 1 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu