Title: A Novel Development in Research by Data Mining in Bioinformatics
Authors: G. Rajkumar, T. Sivagamasundari
Volume: 1
Issue: 10
Pages: 52-57
Publication Date: 2014/12/28//
Abstract:
In the real world, enormous quantities of data exist in education, medical, industry and in many fields. A particular dynamic area of research in bioinformatics is the application and improvement of data mining techniques to solve biological problems. The quantity and variety of data in natural sciences enhanced quickly. Data abstraction, data manipulation and pattern discovery techniques are require in dealing with such large quantities. Analyzing huge biological data sets requires making sense of the data by inferring structure or generalizations from the data. Integration among dissimilar sources of data is also of most important interest, as complex relations may happen. In this paper discuss with some of the basic concepts of bioinformatics, data mining and WEKA explorer tool. The most important research area of application of data mining in the field of bioinformatics is making clear. In addition with highlights a number of recent challenges and opportunities of data mining in bioinformatics.