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115
Voted
PAKDD
2015
ACM
13views Data Mining» more  PAKDD 2015»
9 years 11 months ago
What Is New in Our City? A Framework for Event Extraction Using Social Media Posts
Post streams from public social media platforms such as Instagram and Twitter have become precious but noisy data sources to discover what is happening around us. In this paper, we...
Chaolun Xia, Jun Hu, Yan Zhu, Mor Naaman
116
Voted
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Internal Clustering Evaluation of Data Streams
Abstract. Clustering validation is a crucial part of choosing a clustering algorithm which performs best for an input data. Internal clustering validation is efficient and realisti...
Marwan Hassani, Thomas Seidl 0001
103
Voted
PAKDD
2015
ACM
10views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Coupling Multiple Views of Relations for Recommendation
Learning user/item relation is a key issue in recommender system, and existing methods mostly measure the user/item relation from one particular aspect, e.g., historical ratings, e...
Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zh...
112
Voted
PAKDD
2015
ACM
10views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Rank Matrix Factorisation
We introduce the problem of rank matrix factorisation (RMF). That is, we consider the decomposition of a rank matrix, in which each row is a (partial or complete) ranking of all co...
Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijs...
118
Voted
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking
In outlying aspects mining, given a query object, we aim to answer the question as to what features make the query most outlying. The most recent works tackle this problem using tw...
Nguyen Xuan Vinh, Jeffrey Chan, James Bailey, Chri...