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PAKDD
2009
ACM
157views Data Mining» more  PAKDD 2009»
13 years 11 months ago
Analysis of Variational Bayesian Matrix Factorization
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
Shinichi Nakajima, Masashi Sugiyama
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
PAKDD
2009
ACM
124views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Dynamic Exponential Family Matrix Factorization
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...
Kohei Hayashi, Junichiro Hirayama, Shin Ishii
PAKDD
2009
ACM
151views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Budget Semi-supervised Learning
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
Zhi-Hua Zhou, Michael Ng, Qiao-Qiao She, Yuan Jian...
PAKDD
2009
ACM
127views Data Mining» more  PAKDD 2009»
14 years 1 months ago
Clustering Documents Using a Wikipedia-Based Concept Representation
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...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...