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SIGSOFT
2010
ACM
15 years 4 months ago
LINKSTER: enabling efficient manual inspection and annotation of mined data
While many uses of mined software engineering data are automatic in nature, some techniques and studies either require, or can be improved, by manual methods. Unfortunately, manua...
Christian Bird, Adrian Bachmann, Foyzur Rahman, Ab...
APCCM
2006
15 years 8 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 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 1 months 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 1 months 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