American Journal of Data Mining and Knowledge Discovery

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Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining

Received: Feb. 25, 2019    Accepted: Apr. 10, 2019    Published: May 11, 2019
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Abstract

At the present time web contains many indistinguishable documents. Much effort made towards in investigates mechanism with identical detection algorithms, still the retrieved web documents with outmodedlink. In this proposed system, we are successfully identifying and minimize the redundant information and like link in web documents. We introduce the correct graph theory based KTMIN-JAK-MAXAM algorithm filters out the redundant link. From the proposed system, we have relevant information with more accuracy. Using this KTMIN-JAK-MAXAM algorithm accessing of web pages with reduced time and space complication.

DOI 10.11648/j.ajdmkd.20190401.14
Published in American Journal of Data Mining and Knowledge Discovery ( Volume 4, Issue 1, June 2019 )
Page(s) 19-23
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Data Mining, Degree, Maximum Degree, Minimum Degree, Link, Path

References
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[8] Kshitija Pol, Nita Patil, ShreyaPatankar, Chhaya Das, A Survey on Web Content Mining and Extraction of Structured and Semistructureddata, First International Conference on Emerging trends in Engineering and Technology, 2008.
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Cite This Article
  • APA Style

    Kittappa Thiagarajan, Jeyavel Kavitha, Karunakaran Sarukesi, Avudaiappan Maheshwari. (2019). Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining. American Journal of Data Mining and Knowledge Discovery, 4(1), 19-23. https://doi.org/10.11648/j.ajdmkd.20190401.14

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    ACS Style

    Kittappa Thiagarajan; Jeyavel Kavitha; Karunakaran Sarukesi; Avudaiappan Maheshwari. Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining. Am. J. Data Min. Knowl. Discov. 2019, 4(1), 19-23. doi: 10.11648/j.ajdmkd.20190401.14

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    AMA Style

    Kittappa Thiagarajan, Jeyavel Kavitha, Karunakaran Sarukesi, Avudaiappan Maheshwari. Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining. Am J Data Min Knowl Discov. 2019;4(1):19-23. doi: 10.11648/j.ajdmkd.20190401.14

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  • @article{10.11648/j.ajdmkd.20190401.14,
      author = {Kittappa Thiagarajan and Jeyavel Kavitha and Karunakaran Sarukesi and Avudaiappan Maheshwari},
      title = {Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining},
      journal = {American Journal of Data Mining and Knowledge Discovery},
      volume = {4},
      number = {1},
      pages = {19-23},
      doi = {10.11648/j.ajdmkd.20190401.14},
      url = {https://doi.org/10.11648/j.ajdmkd.20190401.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajdmkd.20190401.14},
      abstract = {At the present time web contains many indistinguishable documents. Much effort made towards in investigates mechanism with identical detection algorithms, still the retrieved web documents with outmodedlink. In this proposed system, we are successfully identifying and minimize the redundant information and like link in web documents. We introduce the correct graph theory based KTMIN-JAK-MAXAM algorithm filters out the redundant link. From the proposed system, we have relevant information with more accuracy. Using this KTMIN-JAK-MAXAM algorithm accessing of web pages with reduced time and space complication.},
     year = {2019}
    }
    

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    T1  - Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining
    AU  - Kittappa Thiagarajan
    AU  - Jeyavel Kavitha
    AU  - Karunakaran Sarukesi
    AU  - Avudaiappan Maheshwari
    Y1  - 2019/05/11
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajdmkd.20190401.14
    DO  - 10.11648/j.ajdmkd.20190401.14
    T2  - American Journal of Data Mining and Knowledge Discovery
    JF  - American Journal of Data Mining and Knowledge Discovery
    JO  - American Journal of Data Mining and Knowledge Discovery
    SP  - 19
    EP  - 23
    PB  - Science Publishing Group
    SN  - 2578-7837
    UR  - https://doi.org/10.11648/j.ajdmkd.20190401.14
    AB  - At the present time web contains many indistinguishable documents. Much effort made towards in investigates mechanism with identical detection algorithms, still the retrieved web documents with outmodedlink. In this proposed system, we are successfully identifying and minimize the redundant information and like link in web documents. We introduce the correct graph theory based KTMIN-JAK-MAXAM algorithm filters out the redundant link. From the proposed system, we have relevant information with more accuracy. Using this KTMIN-JAK-MAXAM algorithm accessing of web pages with reduced time and space complication.
    VL  - 4
    IS  - 1
    ER  - 

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Author Information
  • Academic Research and Development, Jeppiaar Engineering College, Chennai, India

  • Department of Mathematics, R&D Centre, Bharathiar University, Coimbatore, India

  • KCG College Engineering and Technology, Chennai, India

  • Department of Computer Science and Engineering, Jeppiaar Engineering College, Chennai, India

  • Section