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» Benchmarking Data Mining Algorithms
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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 3 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
FLAIRS
2003
15 years 3 months ago
Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System
The goal of the MavHome smart home project is to build an intelligent home environment that is aware of its inhabitants and their activities. Such a home is designed to provide ma...
Ritesh Mehta, Diane J. Cook, Lawrence B. Holder
ICTAI
1999
IEEE
15 years 6 months ago
Neural Data Mining for Credit Card Fraud Detection
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary di...
R. Brause, T. Langsdorf, Michael Hepp
ADMI
2010
Springer
15 years 4 months ago
Clustering in a Multi-Agent Data Mining Environment
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
DATAMINE
2006
130views more  DATAMINE 2006»
15 years 2 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...