Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/453273
Title: | Data mining approach for recommending seats to students based on medical image analysis |
Researcher: | Jothi Kalpana J K |
Guide(s): | Venkatalakshmi K |
Keywords: | Information Retrieval Pattern Matching Fuzzy Logic |
University: | Anna University |
Completed Date: | 2019 |
Abstract: | Education field plays an important role in the upcoming research newlineand is used in the enhancement of students knowledge and detecting their newlinelearning capability. Data Mining and Image Processing is a major research newlinefield which aims at devising algorithms to improve educational results and newlineexplain educational strategies for further decision making. newlineImproving of students learning capability is very important in newlineeducation system. Learning capability will be varied to different types of newlinestudents for example learning capability will high to excellent students and newlinelearning capability will be low to average students. The main aim of the newlineresearch work is to improve the average students learning capability based on newlinerecommending of correct seat in class room that means based on seat newlinerecommendation system. newlineSeat Recommendation System is very important to average students newlinebecause of their problems such as lack of concentration, unnecessarily talk newlinewith their friends, low level listening capability and low observing ability newlinewhen they are seated in last row in class room with eye defects. To overcome newlinethe above average students learning problems, the research work introduce the newlinenovel models for seat recommendation system in an effective and easy newlinemanner. newline |
Pagination: | xv,114p. |
URI: | http://hdl.handle.net/10603/453273 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 22.62 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.57 MB | Adobe PDF | View/Open | |
03_content.pdf | 278.12 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 114.49 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 373.36 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 326.66 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 401.22 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 617.02 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 924.88 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 858.42 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 249.97 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 192.72 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 156.74 kB | Adobe PDF | View/Open |
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