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» Finding (Recently) Frequent Items in Distributed Data Stream...
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DMIN
2007
158views Data Mining» more  DMIN 2007»
13 years 9 months ago
Mining Frequent Itemsets Using Re-Usable Data Structure
- Several algorithms have been introduced for mining frequent itemsets. The recent datasettransformation approach suffers either from the possible increasing in the number of struc...
Mohamed Yakout, Alaaeldin M. Hafez, Hussein Aly
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 7 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 7 months ago
A geometric approach to monitoring threshold functions over distributed data streams
Monitoring data streams in a distributed system is the focus of much research in recent years. Most of the proposed schemes, however, deal with monitoring simple aggregated values...
Izchak Sharfman, Assaf Schuster, Daniel Keren
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 7 months ago
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
Michael Hahsler
BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
Background: AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply. An investig...
Qingfeng Chen, Yi-Ping Phoebe Chen