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» New Algorithms for Fast Discovery of Association Rules
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WEBNET
2000
14 years 11 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
BMCBI
2007
131views more  BMCBI 2007»
14 years 10 months ago
FUNC: a package for detecting significant associations between gene sets and ontological annotations
Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Informatio...
Kay Prüfer, Bjoern Muetzel, Hong Hai Do, Gunt...
GLOBECOM
2006
IEEE
15 years 3 months ago
Fast Packet Classification using Group Bit Vector
—Packet classification is important in fulfilling the requirements of new services such as policy-based routing in next generation networks. In this paper, we propose a novel bit...
Tong Liu, Huawei Li, Xiaowei Li, Yinhe Han
JUCS
2008
148views more  JUCS 2008»
14 years 9 months ago
Learner Course Recommendation in e-Learning Based on Swarm Intelligence
: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...
Ana Belén Gil, Francisco José Garc&i...
ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
14 years 7 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu