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CIB
2005
41views more  CIB 2005»
15 years 6 months ago
A Partial-Repeatability Approach to Data Mining
Unlike the data approached in traditional data mining activities, software data are featured with partial-repeatability or parepeatics, which is an invariant property that can neit...
Kai-Yuan Cai, Yunfei Yin, Shichao Zhang
JUCS
2007
118views more  JUCS 2007»
15 years 6 months ago
A Model of Immune Gene Expression Programming for Rule Mining
: Rule mining is an important issue in data mining. To address it, a novel Immune Gene Expression Programming (IGEP) model was proposed. Concepts of rule, gene, immune cell, and an...
Tao Zeng, Changjie Tang, Yong Xiang, Peng Chen, Yi...
TVCG
2002
123views more  TVCG 2002»
15 years 6 months ago
Information Visualization and Visual Data Mining
Never before in history data has been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data becomes increasingly difficult. Information vi...
Daniel A. Keim
SAC
2008
ACM
15 years 6 months ago
Frequent pattern mining for kernel trace data
Operating systems engineers have developed tracing tools that log details about process execution at the kernel level. These tools make it easier to understand the actual executio...
Christopher LaRosa, Li Xiong, Ken Mandelberg
IWPC
2010
IEEE
15 years 5 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk