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dc.contributor.authorBOARAH, MALAYA DUTTA-
dc.date.accessioned2012-01-27T10:38:17Z-
dc.date.available2012-01-27T10:38:17Z-
dc.date.issued2012-01-27-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/13916-
dc.descriptionM.TECHen_US
dc.description.abstractOne of the main challenges of process perspective in higher engineering education planning is to take the right decision from innumerable choices of engineering discipline/branches for seeking admission in Engineering Colleges/ Universities / Institutions. To overcome this problem, we are trying to implement a Knowledge Discovery based Technique (as a part of KDDS) to predict a right decision in particular engineering discipline/branch for a particular student. In this work, we analyzed the real data (35,534 records) of All India Engineering Entrance Examination (AIEEE) 2007. As a part of this technique our focus is to build a Decision Tree and a Rule set to predict particular discipline/branch (e.g. Computer Engineering, Civil Engineering etc.) using Decision Tree Algorithm such as C5.0/See5, C&R Tree and ANN Algorithm in SPSS Clementine 11.1 Environment. Based on these algorithms, accuracy Rate for different partition sizes of the data is calculated and compared. Finally we have introduced a hybrid knowledge based decision technique in .NET platform to take a right decision of engineering discipline/branches.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD 828;-
dc.subjectENGINEERING EDUCATIONen_US
dc.subjectPLANNINGen_US
dc.subjectDECISIONen_US
dc.subjectKNOWLEDGE DISCOVERY BASED TECHNIQUEen_US
dc.titleA KNOWLEDGE DISCOVERY BASED DECISION TECHNIQUE IN ENGINEERING EDUCATION PLANNINGen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Computer Technology & Applications

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FRONT_malaya.docCOVER201.5 kBMicrosoft WordView/Open
certificate_malaya.docACKNOWLEDGEMENT50 kBMicrosoft WordView/Open
Report_malaya.docMAIN3.66 MBMicrosoft WordView/Open
Appendix A.docx.docAPPENDIX 138 kBMicrosoft WordView/Open
Appendix B.docxAPPENDIX 2500.44 kBMicrosoft Word XMLView/Open


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