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KDD
1995
ACM
109views Data Mining» more  KDD 1995»
15 years 1 months ago
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
Michael J. Pazzani
CIKM
2006
Springer
15 years 1 months ago
k nearest neighbor classification across multiple private databases
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
Li Xiong, Subramanyam Chitti, Ling Liu
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 1 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
WWW
2008
ACM
15 years 10 months ago
Can chinese web pages be classified with english data source?
As the World Wide Web in China grows rapidly, mining knowledge in Chinese Web pages becomes more and more important. Mining Web information usually relies on the machine learning ...
Xiao Ling, Gui-Rong Xue, Wenyuan Dai, Yun Jiang, Q...
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
14 years 11 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo