Clustering Reporeapers Using Data Mining Techniques

K G, Saranya and G, Keerthana (2021) Clustering Reporeapers Using Data Mining Techniques. In: ICCAP 2021, 7-8 December 2021, Chennai, India.

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Abstract

Artifact play a major role in software development. An artifact in software development is an actual by-product in which the works are documented and stored in a repository so it can be retrieved upon demand. Artifacts in software engineering involves specific development methods or processes. To make the software development outright, the collection of information is organized as artifact set. Build involves in converting source code into software artifact. The presence of build helps to provide tangible and observable results. Document clustering involves in organizing and managing texts in structured format. Document clustering provides feasible results increasing the accuracy and saves time when compared to manual text classification.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: build k-means agglomerative clustering minibatch k-means elbow k-means
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 29 Mar 2022 08:48
Last Modified: 29 Mar 2022 08:48
URI: https://eprints.eudl.eu/id/eprint/9862

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