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PAKDD
2009
ACM
157views Data Mining» more  PAKDD 2009»
10 years 3 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
123views Data Mining» more  PAKDD 2009»
10 years 3 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
10 years 3 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
PAKDD
2009
ACM
233views Data Mining» more  PAKDD 2009»
10 years 3 months ago
A Kernel Framework for Protein Residue Annotation
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
Huzefa Rangwala, Christopher Kauffman, George Kary...
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
10 years 3 months ago
Accurate Synthetic Generation of Realistic Personal Information
A large proportion of the massive amounts of data that are being collected by many organisations today is about people, and often contains identifying information like names, addre...
Peter Christen, Agus Pudjijono
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
10 years 3 months ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
10 years 3 months ago
Item Preference Parameters from Grouped Ranking Observations
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
Hideitsu Hino, Yu Fujimoto, Noboru Murata
PAKDD
2009
ACM
89views Data Mining» more  PAKDD 2009»
10 years 3 months ago
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Ch...
PAKDD
2009
ACM
102views Data Mining» more  PAKDD 2009»
10 years 5 months ago
Detecting Link Hijacking by Web Spammers
Young-joo Chung, Masashi Toyoda, Masaru Kitsuregaw...
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