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» Data Mining of Multi-categorized Data
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KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 6 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
HAIS
2009
Springer
15 years 10 months ago
A Generic and Extendible Multi-Agent Data Mining Framework
A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
Kamal Ali Albashiri, Frans Coenen
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 6 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
CIKM
2009
Springer
16 years 22 days ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
16 years 18 days ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser