Title : Knowledge factor Identification using Quick Reduct Rough set theory in software development processes

Type of Material: Thesis
Title: Knowledge factor Identification using Quick Reduct Rough set theory in software development processes
Researcher: R. RAMESHKUMAR
Guide: C. JOTHI VENKATESWARAN
Department: Department of Computer Application
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2014
Language: English
Subject: DATA MINING
Support Vector Machines
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Application, Bharath University, Chennai, Chennai; 2014; D08CA023
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_454612
040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aR. RAMESHKUMAR|eResearcher
110__|aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein
245__|aKnowledge factor Identification using Quick Reduct Rough set theory in software development processes
260__|aChennai|bBharath University, Chennai|c2014
300__|dDVD
502__|bPhD|d2014|oD08CA023|cDepartment of Computer Application, Bharath University, Chennai, Chennai
518__|dn.d.|oDate of Award
518__|oDate of Registration|d2008-08-10
520__|aThe knowledge identification is a challenging process in the business environment because the type of application, identification process is unique as per the environment, people and applications. The knowledge processing system leads the power of the organization in the world business race. All the industries are adopting knowledge management system for their human capital .The level of interaction occurs among the employees in the industry increase the knowledge creation, identification, representation and utilization. The knowledge discovery data process complexity various depend on the domain, nature of the applications, organizational system and many more organizational policies. In the software development industries tasks are optimized based on the process flow and in-house process of IT organizations. The process matrices are supported to increase the efficiency of the project in the development scenario. The process functionalities are determined as per the development of code and the available de
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aDATA MINING
653__|aSupport Vector Machines
700__|aC. JOTHI VENKATESWARAN|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/170943|yShodhganga
905__|afromsg

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