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» Mining Frequent Itemsets Using Genetic Algorithm
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KDD
2004
ACM
114views Data Mining» more  KDD 2004»
15 years 10 months ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
14 years 11 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
IADIS
2008
14 years 11 months ago
Information Retrieval with Cluster Genetic
This article presents an online cluster using genetic algorithms to increase information retrieval efficiency. The Information Retrieval (IR) is based on the grouping of documents...
José Luis Castillo Sequera, José Ra&...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 3 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
ICDM
2005
IEEE
149views Data Mining» more  ICDM 2005»
15 years 3 months ago
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
Jin Soung Yoo, Shashi Shekhar, Mete Celik