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Value Model For Text Mining

K.Thyagarajan 1 , R.Nanthini 2

  1. Dept of Computer Science, AVC College, Mayiladuthurai, India.
  2. Dept of Computer Science, AVC College, Mayiladuthurai, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 681-685, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.681685

Online published on May 31, 2018

Copyright © K.Thyagarajan, R.Nanthini . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K.Thyagarajan, R.Nanthini, “Value Model For Text Mining,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.681-685, 2018.

MLA Style Citation: K.Thyagarajan, R.Nanthini "Value Model For Text Mining." International Journal of Computer Sciences and Engineering 6.5 (2018): 681-685.

APA Style Citation: K.Thyagarajan, R.Nanthini, (2018). Value Model For Text Mining. International Journal of Computer Sciences and Engineering, 6(5), 681-685.

BibTex Style Citation:
@article{_2018,
author = {K.Thyagarajan, R.Nanthini},
title = {Value Model For Text Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {681-685},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2042},
doi = {https://doi.org/10.26438/ijcse/v6i5.681685}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.681685}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2042
TI - Value Model For Text Mining
T2 - International Journal of Computer Sciences and Engineering
AU - K.Thyagarajan, R.Nanthini
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 681-685
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Data Retrieval can be characterized as the movement of acquiring data or information significant to data needs from a gathering of data assets. In like manner, Resources are accessible in colossal, huge and unstructured. From the accessible Resources, just a section or some is needed by the clients. Hence some algorithm has to be derived to carry out this retrieving process. There are many previously proposed algorithms. Almost they are unique in nature of implementing the retrieving process. Many algorithms retrieve information based on term similarity where the result is not quite accurate to the user need. Here in this newly proposed algorithm called “Value Model for Text Mining (VM)” the Information retrieving process is performed based on semantic similarity. Hence this algorithm results in better performance in retrieving more related information by ranking the terms in the Fuzzy set.

Key-Words / Index Term

Data mining, Value Model, Ranking Tool, Fuzzy Set

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