PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Rank aggregation is an important task in many areas, nevertheless, none of rank aggregation algorithms is best for all cases. The main goal of this work is to develop a method, whi...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
The importance of Markov blanket discovery algorithms is twofold: as the main building block in constraint-based structure learning of Bayesian network algorithms and as a techniqu...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Abstract. We present an exploratory data mining tool useful for finding patterns in the geographic distribution of independent UK-based music artists. Our system is interactive, h...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Topic modeling techniques have been widely used to uncover dominant themes hidden inside an unstructured document collection. Though these techniques first originated in the proba...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Abstract. Music recommender systems are lately seeing a sharp increase in popularity due to many novel commercial music streaming services. Most systems, however, do not decently t...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Efficient integration of renewable energy sources into the electricity grid has become one of the challenging problems in recent years. This issue is more critical especially for u...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Scientific impact plays a central role in the evaluation of the output of scholars, departments, and institutions. A widely used measure of scientific impact is citations, with ...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Many applications that use empirically estimated functions face a curse of dimensionality, because integrals over most function classes must be approximated by sampling. This paper...
PKDD
2015
Springer
8 years 5 days ago
2015
Springer
Identifying the best machine learning algorithm for a given problem continues to be an active area of research. In this paper we present a new method which exploits both meta-level...