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https://dspace.iiti.ac.in/handle/123456789/4596
| Title: | SysEvoRecomd: Graph evolution and change learning based system evolution recommender |
| Authors: | Chaturvedi, Animesh Tiwari, Aruna |
| Keywords: | Learning systems;Recommender systems;Approach system;Automation tools;Evolution and Change;Evolving systems;Graph (network) theory;Real-world;System evolution;Systems engineering and theories;Data mining |
| Issue Date: | 2019 |
| Publisher: | IEEE Computer Society |
| Citation: | Chaturvedi, A., & Tiwari, A. (2019). SysEvoRecomd: Graph evolution and change learning based system evolution recommender. Paper presented at the IEEE International Conference on Data Mining Workshops, ICDMW, , 2018-November 1499-1500. doi:10.1109/ICDMW.2018.00217 |
| Abstract: | In this paper, we present our approach System Evolution Recommender (SysEvoRecomd). In SysEvoRecomd, we used our proposed Graph Evolution and Change Learning (GECL) that does matrix reconstruction. Based on SysEvoRecomd, we developed an automation tool named as SysEvoRecomd-Tool, which is used to conduct experiments on various real-world evolving systems. © 2018 IEEE. |
| URI: | https://doi.org/10.1109/ICDMW.2018.00217 https://dspace.iiti.ac.in/handle/123456789/4596 |
| ISBN: | 9781538692882 |
| ISSN: | 2375-9232 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Computer Science and Engineering |
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