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» Efficient Frequent Pattern Mining in Relational Databases
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VLDB
2000
ACM
130views Database» more  VLDB 2000»
13 years 11 months ago
Mining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
Ke Wang, Yu He, Jiawei Han
BMCBI
2007
164views more  BMCBI 2007»
13 years 7 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
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
DAWAK
2005
Springer
14 years 1 months ago
Processing Sequential Patterns in Relational Databases
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
Xuequn Shang, Kai-Uwe Sattler
DASFAA
2005
IEEE
153views Database» more  DASFAA 2005»
14 years 1 months ago
FASST Mining: Discovering Frequently Changing Semantic Structure from Versions of Unordered XML Documents
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
Qiankun Zhao, Sourav S. Bhowmick