Accessing Accurate Documents by Mining Auxiliary Document Information
- Title
- Accessing Accurate Documents by Mining Auxiliary Document Information
- Creator
- Joby P.J.; Korra J.
- Description
- Earlier techniques of text mining included algorithms like k-means, Nae Bayes, SVM which classify and cluster the text document for mining relevant information about the documents. The need for improving the mining techniques has us searching for techniques using the available algorithms. This paper proposes one technique which uses the auxiliary information that is present inside the text documents to improve the mining. This auxiliary information can be a description to the content. This information can be either useful or completely useless for mining. The user should assess the worth of the auxiliary information before considering this technique for text mining. In this paper, a combination of classical clustering algorithms is used to mine the datasets. The algorithm runs in two stages which carry out mining at different levels of abstraction. The clustered documents would then be classified based on the necessary groups. The proposed technique is aimed at improved results of document clustering. 2015 IEEE.
- Source
- Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015, pp. 634-638.
- Date
- 2015-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Auxiliary Information; Document clustering; Text mining
- Coverage
- Joby P.J., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India; Korra J., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India
- Rights
- All Open Access; Green Open Access
- Relation
- ISBN: 978-147991734-1
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Joby P.J.; Korra J., “Accessing Accurate Documents by Mining Auxiliary Document Information,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/20989.