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» Data Mining for Genetics: A Genetic Algorithm Approach
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SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
15 years 6 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta
BMCBI
2005
107views more  BMCBI 2005»
15 years 5 months ago
ProbeMaker: an extensible framework for design of sets of oligonucleotide probes
Background: Procedures for genetic analyses based on oligonucleotide probes are powerful tools that can allow highly parallel investigations of genetic material. Such procedures r...
Johan Stenberg, Mats Nilsson, Ulf Landegren
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 6 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
157
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CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 5 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
AICCSA
2008
IEEE
292views Hardware» more  AICCSA 2008»
15 years 11 months ago
Enumeration of maximal clique for mining spatial co-location patterns
This paper presents a systematic approach to mine colocation patterns in Sloan Digital Sky Survey (SDSS) data. SDSS Data Release 5 (DR5) contains 3.6 TB of data. Availability of s...
Ghazi Al-Naymat