Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
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. ...
Understanding the spatial and temporal characteristics of individual and group behavior in social networks is a critical component of visual tools for intelligence analysis, emerg...
Chris Weaver, David Fyfe, Anthony Robinson, Deryck...
The service discovery is a key step during Peer-to-Peer (P2P) converging with Web Service. In this paper, a semantic-P2P based approach is presented for web service discovery. To e...
Tera-scale high-performance computing has enabled scientists to tackle very large and computationally challenging scientific problems, making the advancement of scientific discov...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, A...