Sciweavers

731 search results - page 15 / 147
» Taxonomy-superimposed graph mining
Sort
View
KES
2004
Springer
14 years 1 months ago
Consumer Behavior Analysis by Graph Mining Technique
In this paper we discuss how graph mining system is applied to sales transaction data so as to understand consumer behavior. First, existing research of consumer behavior analysis ...
Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, A...
MLG
2007
Springer
14 years 1 months ago
Support Computation for Mining Frequent Subgraphs in a Single Graph
—Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. Ho...
Mathias Fiedler, Christian Borgelt
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
14 years 8 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
ICDM
2002
IEEE
178views Data Mining» more  ICDM 2002»
14 years 18 days ago
gSpan: Graph-Based Substructure Pattern Mining
We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which...
Xifeng Yan, Jiawei Han
ESA
2008
Springer
130views Algorithms» more  ESA 2008»
13 years 9 months ago
Linear Time Planarity Testing and Embedding of Strongly Connected Cyclic Level Graphs
Abstract. A level graph is a directed acyclic graph with a level assignment for each node. Such graphs play a prominent role in graph drawing. They express strict dependencies and ...
Christian Bachmaier, Wolfgang Brunner