Sciweavers

253 search results - page 9 / 51
» Using and Learning Semantics in Frequent Subgraph Mining
Sort
View
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 1 days ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
97
Voted
CORR
2012
Springer
250views Education» more  CORR 2012»
13 years 7 months ago
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
117
Voted
KAIS
2008
150views more  KAIS 2008»
14 years 11 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
16 years 1 days ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
98
Voted
JDWM
2010
139views more  JDWM 2010»
14 years 10 months ago
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usagebased approach to generate recommendations that ...
Panagiotis Giannikopoulos, Iraklis Varlamis, Magda...