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EDBT
2012
ACM
257views Database» more  EDBT 2012»
13 years 3 months ago
Indexing and mining topological patterns for drug discovery
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
Sayan Ranu, Ambuj K. Singh
109
Voted
JDA
2006
85views more  JDA 2006»
15 years 15 days ago
Average case analysis of DJ graphs
Abstract. Sreedhar et al. [SGL98, Sre95] have presented an eliminationbased algorithm to solve data flow problems. A thorough analysis of the algorithm shows that the worst-case pe...
Johann Blieberger
97
Voted
IFIP12
2007
15 years 2 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
118
Voted
ASUNAM
2011
IEEE
14 years 16 days ago
Visualizing Bibliographic Databases as Graphs and Mining Potential Research Synergies
—Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich information, which can be analyzed across different dimen...
Iraklis Varlamis, George Tsatsaronis
88
Voted
TSE
2008
113views more  TSE 2008»
15 years 13 days ago
Discovering Neglected Conditions in Software by Mining Dependence Graphs
Neglected conditions are an important but difficult-to-find class of software defects. This paper presents a novel approach for revealing neglected conditions that integrates stati...
Ray-Yaung Chang, Andy Podgurski, Jiong Yang