| Type of Material: | Thesis |
| Title: | Social Network Mining for Learning Research Community Contribution Patterns |
| Researcher: | AYYAPPAN, G |
| Guide: | NALINI, C |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2018 |
| 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; 2018; D13CS003 |
| Fulltext: | Shodhganga |
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| 001 | 454735 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-18 16:31:24 | |
| 008 | __ | 240918t2018||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454735 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAYYAPPAN, G|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aSocial Network Mining for Learning Research Community Contribution Patterns |
| 260 | __ | |aChennai|bBharath University, Chennai|c2018 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2018|oD13CS003 |
| 520 | __ | |aAccumulation of data from the various sectors has been increasing dramatically over the years, particularly in the academic and research areas. More research for supporting the research community itself in terms of scanning the domain, measuring the literature relevance, estimating the prevailing demands and ensuring useful and daunting efforts should be considered. Hence for any research scholar this sort of support would be an added advantage for mechanizing this process for significant works connected to current research. To address this problem by applying the computing procedures available areas like data mining (underlying dataset being relational unnormalized data) and Text Mining (underlying dataset being ordinary text files). As well the Social Network Analysis (Society meant for authors or research contributors and their prioritized contributions). The primary dataset used for this context happens to be the collection of instances with attributes pertaining to collaborations in cross domain litera |
| 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 | __ | |aNALINI, C|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/313995|yShodhganga |
| 905 | __ | |afromsg |
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