PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate effectiv...
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation b...
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
PAKDD
2009
ACM
14 years 6 months ago
2009
ACM
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
PAKDD
2009
ACM
14 years 8 months ago
2009
ACM
Abstract. Since current search engines employ link-based ranking algorithms as an important tool to decide a ranking of sites, Web spammers are making a significant effort to man...
PAKDD
2009
ACM
14 years 8 months ago
2009
ACM
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...