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» A Pattern Mining Approach Using QVT
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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 2 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
BIOINFORMATICS
2007
117views more  BIOINFORMATICS 2007»
15 years 2 months ago
Mining biological networks for unknown pathways
Biological pathways provide significant insights on the interaction mechanisms of molecules. Presently, many essential pathways still remain unknown or incomplete for newly sequen...
Ali Cakmak, Gultekin Özsoyoglu
IEAAIE
2009
Springer
15 years 8 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 8 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 5 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki