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COMPSAC
2006
IEEE
14 years 4 months ago
Data Structure and Algorithm in Data Mining: Granular Computing View
This paper discusses foundations of conventional style of rule mining in which rules are extracted from a data table. Rule mining mainly uses the structure of a table, data partit...
Shusaku Tsumoto
IISWC
2006
IEEE
14 years 4 months ago
An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
— Data mining is the process of automatically finding implicit, previously unknown, and potentially useful information from large volumes of data. Recent advances in data extrac...
Berkin Özisikyilmaz, Ramanathan Narayanan, Jo...
PPOPP
2005
ACM
14 years 3 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
14 years 3 months ago
Empirical Calibration Method for Adding Colour to Range Images
This paper describes a cheap and easy method of capturing colour images in order to map textures accurately onto range data. By using an empirical mapping algorithm it avoids syst...
Craig Robertson, Robert B. Fisher
ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
14 years 1 months ago
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
This work describes the use of a recently proposed technique
Wagner Rodrigo Weinert, Heitor S. Lopes