Sciweavers

313 search results - page 39 / 63
» Mining Frequent Itemsets in a Stream
Sort
View
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
14 years 8 months ago
Scrutinizing Frequent Pattern Discovery Performance
Benchmarking technical solutions is as important as the solutions themselves. Yet many fields still lack any type of rigorous evaluation. Performance benchmarking has always been ...
Mohammad El-Hajj, Osmar R. Zaïane, Stella Luk...
FIMI
2004
172views Data Mining» more  FIMI 2004»
13 years 8 months ago
AIM2: Improved implementation of AIM
We present AIM2-F, an improved implementation of AIM-F [4] algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the e...
Sagi Shporer
CINQ
2004
Springer
177views Database» more  CINQ 2004»
14 years 5 days ago
Generic Pattern Mining Via Data Mining Template Library
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Templat...
Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paol...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 29 days ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
13 years 8 months ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis