| Type of Material: | Thesis |
| Title: | An Analysis Design Pattern for Interactive Visualization Methods in Data Mining for Various Image Classifications |
| Researcher: | HARIHARASUDHAN, S |
| Guide: | RAGHU, B |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2020 |
| Language: | English |
| Subject: | Computer Science | Computer Science Theory and Methods | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2020; D14CS524 |
| Fulltext: | Shodhganga |
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| 001 | 454630 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-18 14:32:46 | |
| 008 | __ | 240918t2020||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454630 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aHARIHARASUDHAN, S|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aAn Analysis Design Pattern for Interactive Visualization Methods in Data Mining for Various Image Classifications |
| 260 | __ | |bBharath University, Chennai|aChennai|c2020 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2020|oD14CS524 |
| 520 | __ | |aThis research on Images proposes new interactive Visualization methods in data mining for various image classifications. The main purpose of the interactive Visualization methods in data mining for various image classifications is to extract meaningful and colorful information s with scientific properties without any data loss from Medical images under abnormal and unexpected environment. The Visual interactive mining in images increases the confidentiality in the retrieved comprehensive output for multilevel activities. Here automatic image classification support system to perceive the selected images and categorize the images utilizing bilateral filtering allied with convolutional neural network based on GLSZM characteristic mining for the relevant application. The trained image from the dataset gives the extracted information and further investigative analysis is done in the region with the help of Image processing algorithm. Noise expulsion in any image is important and decisive for an extensive collect |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Theory and Methods |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aRAGHU, B|eGuide |
| 856 | __ | |yShodhganga|uhttp://shodhganga.inflibnet.ac.in/handle/10603/309717 |
| 905 | __ | |afromsg |
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