Sangita Gupta, Suma V.

Attribute Discretization by Entropy

• Broschiertes Buch

Produktbeschreibung

IT industries in current scenario have to struggle effectively in terms of cost, quality, service or innovation for their subsistence in the global market. Due to the swift transformation of technology, software industries owe to manage a large set of data having precious information hidden. Data mining technique enables one to effectively cope with this hidden information where it can be applied to code optimization, fault prediction and other domains which modulates the success nature of software projects. Additionally, the efficiency of the product developed further depends upon the quality of the project personnel. The position of the study therefore is to explore potentials of project personnel in terms of their competency and skill set and its influence on quality of project. The above mentioned objective is accomplished using entropy for best attributes selection. The hidden and valuable knowledge discovered in the related databases will be base for decision support system for formulating rules related to employee.

Produktdetails

• Verlag: LAP LAMBERT Academic Publishing
• Seitenzahl: 112
• Erscheinungstermin: 11. Oktober 2017
• Englisch
• Abmessung: 220mm x 150mm x 7mm
• Gewicht: 185g
• ISBN-13: 9786202056151
• ISBN-10: 6202056150
• Artikelnr.: 62579210

Autorenporträt

Dr. Sangita Gupta and Dr. Suma V. have authored several research publications. They have teaching and research experience of more than 20 years. Dr. Suma is working as Professor and Dean, Dayananda Sagar College of Engineering, Bangalore, India. She is recipient of several Research Awards and listed in various International biographical centers.