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» Mining Billion-Node Graphs: Patterns, Generators and Tools
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IV
2007
IEEE
184views Visualization» more  IV 2007»
14 years 2 months ago
Visual Data Mining of Web Navigational Data
Discovering web navigational trends and understanding data mining results is undeniably advantageous to web designers and web-based application builders. It is also desirable to i...
Jiyang Chen, Tong Zheng, William Thorne, Osmar R. ...
ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
14 years 2 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 8 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
AIME
2009
Springer
13 years 6 months ago
Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
Abstract. In pharmacovigilance, linking the adverse reactions by patients to drugs they took is a key activity typically based on the analysis of patient reports. Yet generating po...
Mohamed Rouane Hacene, Yannick Toussaint, Petko Va...
CIKM
2006
Springer
14 years 9 days ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...