According to Koestler, the notion of a bisociation denotes a connection between pieces of information from habitually separated domains or categories. In this paper, we consider a ...
Data-driven knowledge discovery is becoming a new trend in various scientific fields. In light of this, the goal of the present paper is to introduce a novel framework to study one...
Chen Yu, Thomas G. Smith, Shohei Hidaka, Matthias ...
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
Abstract. We propose a generic framework and methods for simplification of large networks. The methods can be used to improve the understandability of a given network, to complemen...
We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lac...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
This paper delivers an example of applying intelligent data analysis to biological data where the success of the project was only possible due to joint efforts of the experts from ...
This Paper presents a platform to mine epileptiform activity from Electroencephalograms (EEG) by combining the methodologies of Deterministic Finite Automata (DFA) and Knowledge Di...
: Rock art, human-made markings on stone, is an important cultural and the earliest expression of abstract thinking. While there are tens of millions of photographs of rock art in ...
Abstract. This paper introduces a new project, InfraWatch, that demonstrates the many challenges that a large complex data analysis application has to offer in terms of data captu...
Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, To...