Self-Organizing Maps (SOMs) have been used to visualize tradeoffs of Pareto solutions in the objective function space for engineering design obtained by Evolutionary Computation. Furthermore, based on the codebook vectors of cluster-averaged values of respective design variables obtained from the SOM, the design variable space is mapped onto another SOM. The resulting SOM generates clusters of ...

T. Irisawa, G. S. Cargill III, K. J. Hwang, and A. M. Maniatty Department of Materials Science and Engineering, International Materials Institute for New Functionality in Glass, Lehigh University, Bethlehem, Pennsylvania 18018, USA Department of Chemical Engineering, Materials Science, and Mining Engineering, Columbia University, New York, New York 10027, USA Department of Mechanical, Aerospace...

The Semantic Web is a project and vision of the World Wide Web Consortium to extend the current Web, so that information is given a well-defined meaning and structure, enhancing computers and people to work in cooperation. Semantic web mining is the combination of web mining and semantic web. The knowledge of semantic web makes web mining easier to achieve and can also improve the effectiveness...

Zengke Li 1,2, Ren Wang 1,*, Jingxiang Gao 1 and Jian Wang 1 1 School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; [email protected] (Z.L.); [email protected] (J.G.); [email protected] (J.W.) 2 School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China * Correspondence: chwa...

The data mining techniques can extract the hidden information from the large databases. It helps to find the relationships and patterns from the data. Data mining is used for various applications such as business organizations, e-commerce, health care industry, scientific and engineering. In the health care industry the data mining is mainly used for predicting the diseases from the datasets. I...

This paper introduces Data-Driven Search-based Software Engineering (DSE), which combines insights from Mining Software Repositories (MSR) and Search-based Software Engineering (SBSE). While MSR formulates software engineering problems as data mining problems, SBSE reformulate Software Engineering (SE) problems as optimization problems and use meta-heuristic algorithms to solve them. Both MSR a...

Educational data mining and knowledge engineering methods have led to increasingly precise models of students’ knowledge as they use intelligent tutoring systems. The first stage in this progression was the development of Bayes Nets and Bayesian frameworks that could infer the probability that a student knew a specific skill at a specific time from their pattern of correct responses and non-cor...

This article is concerned with the merging of two active research domains: Knowledge Discovery in Databases (KDD) and Knowledge Engineering (KE) with a main interest in Ontology. In KDD, we need to unify the domain of web mining. To overcome this drawback, several methods have been proposed in the literature. So, we propose an ontology, named OntoWM which includes definitions of basic Web Minin...

J. Korol, Central Mining Institute, Department of Material Engineering, Poland D. Burchart-Korol, A. Smoliński, Central Mining Institute, Department of Energy Saving and Air Protection, Poland In this study composition of sinter mixtures used in Polish sinter plants were established. Seven sinter mixtures composition were examined, based on iron-bearing materials, admixtures and fuels.

Software mining is related to both data mining and reverse engineering. It is focused on mining software artefacts such as code bases, program states and structural entities for useful information related to the characteristics of a system. This paper provides an introduction to the field. It first reviews a representative selection of the ways software mining has been applied. It then divides ...