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» Mining Frequent Itemsets Using Genetic Algorithm
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ACTA
2006
104views more  ACTA 2006»
14 years 10 months ago
Safe projections of binary data sets
Abstract Selectivity estimation of a boolean query based on frequent itemsets can be solved by describing the problem by a linear program. However, the number of variables in the e...
Nikolaj Tatti
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
ICICS
2005
Springer
15 years 3 months ago
Private Itemset Support Counting
Private itemset support counting (PISC) is a basic building block of various privacy-preserving data mining algorithms. Briefly, in PISC, Client wants to know the support of her i...
Sven Laur, Helger Lipmaa, Taneli Mielikäinen
ICDE
2000
IEEE
112views Database» more  ICDE 2000»
15 years 11 months ago
DEMON: Mining and Monitoring Evolving Data
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
15 years 10 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...