Type of Material: | Thesis |
Title: | Design and development of Rubust data mining approaches for machine learning in adversial settings |
Researcher: | Pullagura, Sudheer |
Guide: | Sreenivasu, S V N |
Department: | Department of Computer Science and Engineering |
Publisher: | Acharya Nagarjuna University, Guntur |
Place: | Guntur |
Year: | 2023 |
Language: | English |
Subject: | Rubust data mining | Computer Science and Information Technology | Engineering and Technology |
Dissertation/Thesis Note: | PhD; Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2023 |
000 | 00000ntm a2200000ua 4500 | |
001 | 454065 | |
003 | IN-AhILN | |
005 | 2024-07-19 15:12:28 | |
008 | __ | 240719t2023||||ii#||||g|m||||||||||eng|| |
035 | __ | |a(IN-AhILN)th_454065 |
040 | __ | |aNGJN_522510|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aPullagura, Sudheer|eResearcher |
110 | __ | |aDepartment of Computer Science and Engineering|bAcharya Nagarjuna University, Guntur|dGuntur|ein|0U-0003 |
245 | __ | |aDesign and development of Rubust data mining approaches for machine learning in adversial settings |
260 | __ | |bAcharya Nagarjuna University, Guntur|c2023|aGuntur |
502 | __ | |bPhD|cDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur|d2023 |
518 | __ | |oDate of Notification|d2023-11-16 |
650 | __ | |aComputer Science and Information Technology|2UGC |
650 | __ | |aEngineering and Technology|2AIU |
653 | __ | |aRubust data mining |
700 | __ | |aSreenivasu, S V N|eGuide |
905 | __ | |anotification |
User Feedback Comes Under This section.