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» Efficient frequent pattern mining over data streams
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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 10 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
DAWAK
2005
Springer
15 years 3 months ago
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Z...
IS
2008
14 years 9 months ago
Efficient mining of frequent episodes from complex sequences
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
Kuo-Yu Huang, Chia-Hui Chang
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
15 years 1 months ago
Transitional Patterns and Their Significant Milestones
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Qian Wan, Aijun An
DAWAK
2005
Springer
15 years 3 months ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...