104
click to vote
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
We present a Bayesian non-negative tensor factorization model for count-valued tensor data, and develop scalable inference algorithms (both batch and online) for dealing with massi...
98
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
In this paper we describe a method to reuse models with Model-Based Subgroup Discovery (MBSD), which is a extension of the Subgroup Discovery scheme. The task is to predict the num...
118
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Unlike conventional clustering, fuzzy cluster analysis allows data elements to belong to more than one cluster by assigning membership degrees of each data to clusters. This work p...
97
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
With the extensive amount of textual data flowing through social media platforms, the interest in Information Extraction (IE) on such textual data has increased. Named Entity Reco...
94
Voted
PKDD
2015
Springer
9 years 11 months ago
2015
Springer
Abstract. Semi-supervised clustering algorithms allow the user to incorporate background knowledge into the clustering process. Often, this background knowledge is specified in th...