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» Graph Mining based on a Data Partitioning Approach
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94
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ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
15 years 6 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
15 years 5 months ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ICSEA
2006
IEEE
15 years 6 months ago
A Partition-Based Approach for XPath Testing
—The XML language is becoming the preferred means of data interchange and representation in web based applications. Usually, XML data is stored in XML repositories, which can be ...
Claudio de la Riva, José García-Fanj...
90
Voted
AAAI
2008
15 years 2 months ago
Clustering on Complex Graphs
Complex graphs, in which multi-type nodes are linked to each other, frequently arise in many important applications, such as Web mining, information retrieval, bioinformatics, and...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tian...
96
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ICIP
2007
IEEE
15 years 4 months ago
H.263 to H.264 Transconding using Data Mining
1 In this paper, we propose the use of data mining algorithms to create a macroblock partition mode decision algorithm for inter-frame prediction, to be used as part of a high-effi...
Gerardo Fernández-Escribano, Jens Bialkowsk...