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KAIS
2008
150views more  KAIS 2008»
13 years 8 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
13 years 10 months ago
Optimal control of a fedbatch fermentation process: Numerical methods, sufficient conditions and sensitivity analysis
Bang-bang and singular optimal controls in a fedbatch fermentation process are computed for a range of time horizons. Numerical algorithms for determining the optimal control struc...
Adam Korytowski, Maciej Szymkat, Helmut Maurer, Ge...
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
14 years 9 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
JCP
2006
139views more  JCP 2006»
13 years 8 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
CIKM
2001
Springer
14 years 11 days ago
SQL Database Primitives for Decision Tree Classifiers
Scalable data mining in large databases is one of today's challenges to database technologies. Thus, substantial effort is dedicated to a tight coupling of database and data ...
Kai-Uwe Sattler, Oliver Dunemann