Subgroup discovery consists in finding subsets of individuals from a given population which have distinctive collective properties with regard to one or more properties of interest. The interest of a subgroup can be objectively assessed using appropriate statistics, but it can also be evaluated by a data analyst or domain expert. In this paper we propose an approach to subgroup discovery via di...

This mini-review describes the evolution of different algorithms dedicated to the automated discovery of chemical fragments associated to (eco)toxicological endpoints. These structural alerts correspond to one of the most interesting approach of in silico toxicology due to their direct link with specific toxicological mechanisms. A number of expert systems are already available but, since the f...

Text: Recently, Minagawa proposed a knowledge refinement method for crack diagnostic expert system. The inference engine was constructed for a reciprocal network based on min-max composition algorithm. The knowledge refinement function was installed into the engine by using the concept of back propagation algorithm. First the inference and refinement method are applied to the rule-base system f...

INTRODUCTION The worldwide incidence of biliary tract carcinoma (BTC, tumours of the bile ducts and gall-bladder) continues to rise, with the only potentially curative treatment remaining surgical resection or transplantation, possible in only a minority of patients. Late presentation and a paucity of effective treatments mandate the development of techniques for early lesion detection. AREAS...

Semantic annotation of environmental resources has become a reality attested by a significant amount of annotations created and published on the Web recently. A key question now is how to make practical and effective use of those annotations to aid users of environmental resources perform their activities more efficiently and effectively. In this paper we present and discuss results of an exper...

We describe our vision for a new generation medical knowledge annotation and acquisition system called SENTIENT-MD (“Semantic Annotation and Inference for Medical Knowledge Discovery”). Key aspects of our vision include deep Natural Language Processing techniques to abstract the text into a more semantically meaningful representation guided by domain ontology. In particular, we introduce a noti...

Data mashups enable users to create new applications by combining Web APIs from several data sources. However, the existing data mashup framework requires some programming knowledge, hence it is not suitable for use by non-expert users. In this paper, we present hierarchical clustering and pattern analysis methods that build semantic ontologies automatically, and propose similarity searching al...

In this paper, attacks caused in the shut circle control system is discussed. To keep the net-worked control systems safe, good, ready and hard to move, getting NCS from of the net attacks is very important. The marked power of thought attackers will not move after any made suggestion copies made to scale, they keep on changing their attack designs as if by chance and dynamically. Distributed g...

We address the unexplored problem of percussion pattern discovery in Indian art music. Percussion in Indian art music uses onomatopoeic oralmnemonic syllables for the transmission of repertoire and technique. This is utilized for the task of percussion pattern discovery from audio recordings. From a parallel corpus of audio and expert curated scores for 38 tabla solo recordings, we use the scor...