Recent progress in data mining research has led to the development of numerous efficient and scalable methods for mining interesting patterns in large databases. In the mean time, recent progress in biology, medical science, and DNA technology has led to the accumulation of tremendous amounts of bio-medical data that demands for in-depth analysis. The question becomes how to bridge the two fiel...

The application of neural networks in the data mining is very wide. Although neural networks may have complex structure, long training time, and uneasily understandable representation of results, neural networks have high acceptance ability for noisy data and high accuracy and are preferable in data mining. In this paper the data mining based on neural networks is researched in detail, and the ...

mining is the process of discovering " hidden messages, " patterns and knowledge within large amounts of data and of making predictions for outcomes or behaviors. This chapter discusses in detail the theoretical and practical aspects of data mining and provides a case study of its application to college transfer data. The first chapter has afforded readers an opportunity to review the definitio...

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, remote sensing, bioinformatics etc. Education is an essential element for the progress of country. Mining in educational environment is called Educational Data Mining. Educational data min...

Jing Xu 1, Zhongbin Wang 1,*, Chao Tan 1,2 and Xinhua Liu 1 1 School of Mechatronic Engineering, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou 221116, China; [email protected] (J.X.); [email protected] (C.T.); [email protected] (X.L.) 2 Xuyi Mine Equipment and Materials R&D Center, China University of Mining & Technology, No. 12-8 Jingui Road, Huai’an 211700, Chin...

This paper discusses the use of explorative data mining tools that allow the educator to explore new relationships between reported learning experiences and actual activities, even if there are multiple dimensions with a large number of measured items. The underlying technology is based on the so-called Compendium Platform for Reproducible Computing (http://www.freestatistics.org) which was bui...

There are a variety of criticisms of medical data mining which has led, in some cases, to the technology being overlooked as a tool. This paper presents a discussion of six of the strongest arguments against the application of data mining to the complex field of human medicine. The aim of the paper is to raise the predominant issues and suggest solutions whilst also opening the issues for furth...

The complexity of semiconductor manufacturing and its wealth of data provide an ideal environment for the application of data mining to discover patterns of behavior leading to knowledge. The demands are, however, such that data-mining technology needs to be extended further to achieve its full potential. Companies successful in developing and harnessing this technology will be rewarded with po...