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AUSDM
2007
Springer
113views Data Mining» more  AUSDM 2007»
15 years 3 months ago
PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees
Frequent subtree mining has attracted a great deal of interest among the researchers due to its application in a wide variety of domains. Some of the domains include bio informati...
Sangeetha Kutty, Richi Nayak, Yuefeng Li
ICDE
2001
IEEE
163views Database» more  ICDE 2001»
15 years 11 months ago
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases
We present a new algorithm for mining maximal frequent itemsets from a transactional database. Our algorithm is especially efficient when the itemsets in the database are very lon...
Douglas Burdick, Manuel Calimlim, Johannes Gehrke
DMIN
2006
137views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering of Frequent Itemsets with CP-mine Algorithm
Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries ...
Nuansri Denwattana, Yutthana Treewai
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...
ADBIS
2004
Springer
133views Database» more  ADBIS 2004»
15 years 2 months ago
Evaluation of the Mine-Merge Method for Data Mining Query Processing
In this paper we consider concurrent execution of multiple data mining queries in the context of discovery of frequent itemsets. If such data mining queries operate on similar part...
Marek Wojciechowski, Maciej Zakrzewicz