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IDEAL
2003
Springer
14 years 2 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
WWW
2005
ACM
14 years 9 months ago
XAR-miner: efficient association rules mining for XML data
In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently. In XAR-Miner, raw data in the XML document are first preprocessed to transf...
Sheng Zhang, Ji Zhang, Han Liu, Wei Wang
ICCD
2006
IEEE
121views Hardware» more  ICCD 2006»
14 years 5 months ago
A Low Power Highly Associative Cache for Embedded Systems
—Reducing energy consumption is an important issue for battery powered embedded computing systems. Content Addressable Memory (CAM)-based Highly-Associative Caches (HAC) are wide...
Chuanjun Zhang
DNA
2006
Springer
110views Bioinformatics» more  DNA 2006»
14 years 16 days ago
DNA Hypernetworks for Information Storage and Retrieval
Content-addressability is a fundamental feature of human memory underlying many associative information retrieval tasks. In contrast to location-based memory devices, content-addre...
Byoung-Tak Zhang, Joo-Kyung Kim
ICDM
2003
IEEE
127views Data Mining» more  ICDM 2003»
14 years 2 months ago
A High-Performance Distributed Algorithm for Mining Association Rules
Abstract. We present a new distributed association rule mining (D-ARM) algorithm that demonstrates superlinear speed-up with the number of computing nodes. The algorithm is the fi...
Assaf Schuster, Ran Wolff, Dan Trock