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» An Algebraic Approach to Data Mining: Some Examples
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KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 6 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
AUSDM
2007
Springer
94views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Classification for accuracy and insight: A weighted sum approach
This research presents a classifier that aims to provide insight into a dataset in addition to achieving classification accuracies comparable to other algorithms. The classifier c...
Anthony Quinn, Andrew Stranieri, John Yearwood
SDM
2012
SIAM
312views Data Mining» more  SDM 2012»
13 years 8 months ago
Drought Detection of the Last Century: An MRF-based Approach
Droughts are one of the most damaging climate-related hazards. The late 1960s Sahel drought in Africa and the North American Dust Bowl of the 1930s are two examples of severe drou...
Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K....
WLP
2004
Springer
15 years 11 months ago
SQL Based Frequent Pattern Mining with FP-Growth
Scalable data mining in large databases is one of today’s real challenges to database research area. The integration of data mining with database systems is an essential componen...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 6 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...