Fake identities and Sybil accounts are pervasive in today's online communities. They are
responsible for a growing number of threats, including fake product reviews, malware and …

In recent years, internet technologies and its rapid growth have created a paradigm of digital
services. In this new digital world, users suffer due to the information overload problem and …

Clustering methods play an important role in data mining and various other applications.
This work investigates them based on swarm intelligence. It proposes a new clustering …

Traditional clustering techniques are inapplicable to problems where the relationships
between data points evolve over time. Not only is it important for the clustering algorithm to …

With the rapid development of the Internet and the continuous progress of computer science
and technology, Internet-based online trading has developed rapidly and improved the …

Over the last years, recommendation techniques have emerged to cope with the challenging
task of optimal service selection, and to help consumers satisfy their needs and preferences …

With the growing number of functionally similar services over the Internet, recommendation
techniques become a natural choice to cope with the challenging task of optimal service …

Web Usage Mining is the process of extracting useful usage patterns from web data. Web
personalization uses web usage mining technique for the process of knowledge acquisition …

Personalized recommendation has attracted a surge of interdisciplinary research.
Especially, similarity-based methods in applications of real recommendation systems have …

With the rapid growth of commerce and development of Internet technology, a large number
of user consumption preferences become available for online market intelligence analysis. A …