Quan-Chao Zhuang1, Xiang-Yun Qiu1,2, Shou-Dong Xu1,2, Ying-Huai Qiang1 and Shi-Gang Sun3 1Li-ion Batteries Lab, School of Materials Science and Engineering, 2School of Chemical Engineering and Technology, China University of Mining and technology, Xuzhou 3State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen ...

W. Mostert1,†, D. I. Pullin2, R. Samtaney3 and V. Wheatley1 1School of Mechanical and Mining Engineering, The University of Queensland, Brisbane, QLD 4072, Australia 2Graduate Aerospace Laboratories, California Institute of Technology, Pasadena, CA 91125, USA 3Mechanical Engineering, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-690...

Using mining approach in Engineering process of Web Applications is a complex problem, due to the variety of languages and technologies that are contemporary used to realize them. Indeed, the benefits that can be obtained are remarkable: the presence of documentation at different abstraction levels will help the execution of maintenance interventions, migration and reengineering processes, redu...

Privacy preserving over data mining in distributed networks is still an important research issue in the field of Knowledge and data engineering or community based clustering approaches, privacy is an important factor while datasets or data integrates from different data holders or players for mining. Secure mining of data is required in open network. In this paper we are proposing an efficient ...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...

Motivated by the need for unification of the domain of data mining and the demand for formalized representation of outcomes of data mining investigations, we address the task of constructing an ontology of data mining. Our heavy-weight ontology, named OntoDM, is based on a recently proposed general framework for data mining. It represent entites such as data, data mining tasks and algorithms, a...

-Data Mining is a powerful tool for academic intervention. Mining in education environment is called Educational Data Mining. Educational Data Mining is concerned with developing new methods to discover knowledge from educational database and can used for decision making in educational system. In our work, we collected the student’s data from engineering institute that have different informatio...

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 ...

In any engineering field the data associated with knowledge is important one for taking decisions for solving problems in the current system development. The specification mining can give support for analyzing collected data to help the project management team to fulfill their responsibilities. In this paper ‘Package Specification Mining’ is designed by using packages’ reusability quality facto...

The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data mining case study aimed at predicting the Electrical Engineering (EE) students drop out after the first semester of their studies or even before they enter the study program as well as identifying success-factors specific ...