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» Consumer Behavior Analysis by Graph Mining Technique
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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 7 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
SIGECOM
2011
ACM
311views ECommerce» more  SIGECOM 2011»
12 years 8 months ago
The role of social networks in online shopping: information passing, price of trust, and consumer choice
While social interactions are critical to understanding consumer behavior, the relationship between social and commerce networks has not been explored on a large scale. We analyze...
Stephen Guo, Mengqiu Wang, Jure Leskovec
HCI
2009
13 years 3 months ago
COBRA - A Visualization Solution to Monitor and Analyze Consumer Generated Medias
Consumer Generated Medias (CGMs) -- such as blogs, news forums, message boards, and web pages -- are emerging as locations where consumers trade, discuss and influence each other&#...
Amit Behal, Julia Grace, Linda Kato, Ying Chen, Sh...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
13 years 11 months ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...
ECML
2007
Springer
13 years 11 months ago
Using Text Mining and Link Analysis for Software Mining
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
Miha Grcar, Marko Grobelnik, Dunja Mladenic