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» Numbers in Multi-relational Data Mining
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BMCBI
2006
144views more  BMCBI 2006»
15 years 4 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
CORR
2004
Springer
218views Education» more  CORR 2004»
15 years 4 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 8 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
VLDB
2000
ACM
133views Database» more  VLDB 2000»
15 years 8 months ago
Memex: A Browsing Assistant for Collaborative Archiving and Mining of Surf Trails
Keyword indices, topic directories, and link-based rankings are used to search and structure the rapidly growing Web today. Surprisingly little use is made of years of browsing ex...
Soumen Chakrabarti, Sandeep Srivastava, Mallela Su...
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
15 years 6 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