| Type of Material: | Thesis |
| Title: | COGNITIVE BEHAVIOR AND EDUCATIONAL PERFORMANCE OF SPECIAL NEED LEARNERS USING DATA MINING TECHNIQUES |
| Researcher: | SANGITA BABU |
| Guide: | C. JOTHI VENKATESWARAN |
| Department: | Department of Computer Application |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2013 |
| Language: | English |
| Subject: | Data Ming | Memory | Learning Disabilities | NEURAL NETWORK | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
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| 001 | 454437 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-11 17:15:10 | |
| 008 | __ | 240911t2013||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454437 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSANGITA BABU|eResearcher |
| 110 | __ | |aDepartment of Computer Application|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aCOGNITIVE BEHAVIOR AND EDUCATIONAL PERFORMANCE OF SPECIAL NEED LEARNERS USING DATA MINING TECHNIQUES |
| 260 | __ | |aChennai|bBharath University, Chennai|c2013 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD |
| 518 | __ | |oDate of Registration|d2008-12-02 |
| 520 | __ | |aData mining techniques used to determine the non-trivial process of extraction of hidden, previously unknown and potential useful pattern according to interest of domain or applications. It is adopted associative, classification, clustering and outlier analysis functionalities to extract the pattern from the huge dataset. Data mining approaches are used for many applications for the classification, cluster and feature determination application in the image analysis, medical application, learning process etc. The data mining process aids for the data pre-process, representation and analysis the techniques to obtain the interesting pattern for the futuristic applications. Mining functionalities are majorly used for the analysis of the medical applications, image analysis, web mining, text mining and spatiotemporal applications and could implemented with sensor, time series, temporal, sequence, structural, object relational, heterogeneous, legacy database, spatial, multimedia, text and web datasets. This minin |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aData Ming |
| 653 | __ | |aMemory |
| 653 | __ | |aLearning Disabilities |
| 653 | __ | |aNEURAL NETWORK |
| 700 | __ | |aC. JOTHI VENKATESWARAN|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/170858|yShodhganga |
| 905 | __ | |afromsg |
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