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» Architectural Support for Data Mining
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BMCBI
2011
14 years 7 months ago
SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
Xutao Deng
CINQ
2004
Springer
225views Database» more  CINQ 2004»
15 years 9 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
SBIA
2004
Springer
15 years 9 months ago
SKDQL: A Structured Language to Specify Knowledge Discovery Processes and Queries
Tools and techniques used for automatic and smart analysis of huge data repositories of industries, governments, corporations and scientific institutes are the subjects dealt by th...
Marcelino Pereira dos Santos Silva, Jacques Robin
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 9 months ago
TSP: Mining Top-K Closed Sequential Patterns
Sequential pattern mining has been studied extensively in data mining community. Most previous studies require the specification of a minimum support threshold to perform the min...
Petre Tzvetkov, Xifeng Yan, Jiawei Han
141
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 4 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...