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» A framework for mining interesting pattern sets
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ICDE
2006
IEEE
222views Database» more  ICDE 2006»
16 years 1 months ago
CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Jianyong Wang, Zhiping Zeng, Lizhu Zhou
SGAI
2007
Springer
15 years 5 months ago
Visualization and Grouping of Graph Patterns in Molecular Databases
Mining subgraphs is an area of research where we have a given set of graphs, and we search for (connected) subgraphs contained in these graphs. In this paper we focus on the analy...
Edgar H. de Graaf, Walter A. Kosters, Joost N. Kok...
DKE
2006
157views more  DKE 2006»
14 years 11 months ago
XML structural delta mining: Issues and challenges
Recently, there is an increasing research efforts in XML data mining. These research efforts largely assumed that XML documents are static. However, in reality, the documents are ...
Qiankun Zhao, Ling Chen 0002, Sourav S. Bhowmick, ...
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
15 years 6 months ago
Zonal Co-location Pattern Discovery with Dynamic Parameters
Zonal co-location patterns represent subsets of featuretypes that are frequently located in a subset of space (i.e., zone). Discovering zonal spatial co-location patterns is an im...
Mete Celik, James M. Kang, Shashi Shekhar
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
15 years 6 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...