Performance evaluation of different techniques in the context of data mining- A case of an eye disease

Yukti Agarwal, Hari Mohan Pandey

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

4 Citations (Scopus)

Abstract

This paper presents a comparative analysis of optimization techniques in the context of data mining. We have considered eye disease problems and recommendation of respective lenses. The optimization in data mining plays a fundamental role for the extraction of patterns or knowledge in minimum time. We have studied and implemented three optimization techniques such as fuzzy logic based approach, neural network based approach (perceptron based and Back-propagation based). For the experimentation purpose data from eye clinic are collected to understand the appropriate disease and recommend the type of lenses for patient. The paper also covers the analysis observations and discussions based on the obtained results.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit
Subtitle of host publicationThe Next Generation Information Technology Summit
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-76
Number of pages5
ISBN (Electronic)9781479942367
ISBN (Print)9781479942367
DOIs
Publication statusPublished - 6 Nov 2014
Event5th International Conference on Confluence 2014 - The Next Generation Information Technology Summit - Noida, India
Duration: 25 Sep 201426 Sep 2014

Publication series

NameProceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit

Conference

Conference5th International Conference on Confluence 2014 - The Next Generation Information Technology Summit
CountryIndia
CityNoida
Period25/09/1426/09/14

Fingerprint

Data mining
Lenses
Neural networks
Backpropagation
Fuzzy logic

Keywords

  • Back propagation
  • Data mining
  • fuzzy logic
  • KDD
  • neural networks
  • optimization

Cite this

Agarwal, Y., & Pandey, H. M. (2014). Performance evaluation of different techniques in the context of data mining- A case of an eye disease. In Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit: The Next Generation Information Technology Summit (pp. 72-76). [6949239] (Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONFLUENCE.2014.6949239
Agarwal, Yukti ; Pandey, Hari Mohan. / Performance evaluation of different techniques in the context of data mining- A case of an eye disease. Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit: The Next Generation Information Technology Summit. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 72-76 (Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit).
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abstract = "This paper presents a comparative analysis of optimization techniques in the context of data mining. We have considered eye disease problems and recommendation of respective lenses. The optimization in data mining plays a fundamental role for the extraction of patterns or knowledge in minimum time. We have studied and implemented three optimization techniques such as fuzzy logic based approach, neural network based approach (perceptron based and Back-propagation based). For the experimentation purpose data from eye clinic are collected to understand the appropriate disease and recommend the type of lenses for patient. The paper also covers the analysis observations and discussions based on the obtained results.",
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Agarwal, Y & Pandey, HM 2014, Performance evaluation of different techniques in the context of data mining- A case of an eye disease. in Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit: The Next Generation Information Technology Summit., 6949239, Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit, Institute of Electrical and Electronics Engineers Inc., pp. 72-76, 5th International Conference on Confluence 2014 - The Next Generation Information Technology Summit, Noida, India, 25/09/14. https://doi.org/10.1109/CONFLUENCE.2014.6949239

Performance evaluation of different techniques in the context of data mining- A case of an eye disease. / Agarwal, Yukti; Pandey, Hari Mohan.

Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit: The Next Generation Information Technology Summit. Institute of Electrical and Electronics Engineers Inc., 2014. p. 72-76 6949239 (Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

TY - GEN

T1 - Performance evaluation of different techniques in the context of data mining- A case of an eye disease

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PY - 2014/11/6

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N2 - This paper presents a comparative analysis of optimization techniques in the context of data mining. We have considered eye disease problems and recommendation of respective lenses. The optimization in data mining plays a fundamental role for the extraction of patterns or knowledge in minimum time. We have studied and implemented three optimization techniques such as fuzzy logic based approach, neural network based approach (perceptron based and Back-propagation based). For the experimentation purpose data from eye clinic are collected to understand the appropriate disease and recommend the type of lenses for patient. The paper also covers the analysis observations and discussions based on the obtained results.

AB - This paper presents a comparative analysis of optimization techniques in the context of data mining. We have considered eye disease problems and recommendation of respective lenses. The optimization in data mining plays a fundamental role for the extraction of patterns or knowledge in minimum time. We have studied and implemented three optimization techniques such as fuzzy logic based approach, neural network based approach (perceptron based and Back-propagation based). For the experimentation purpose data from eye clinic are collected to understand the appropriate disease and recommend the type of lenses for patient. The paper also covers the analysis observations and discussions based on the obtained results.

KW - Back propagation

KW - Data mining

KW - fuzzy logic

KW - KDD

KW - neural networks

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Agarwal Y, Pandey HM. Performance evaluation of different techniques in the context of data mining- A case of an eye disease. In Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit: The Next Generation Information Technology Summit. Institute of Electrical and Electronics Engineers Inc. 2014. p. 72-76. 6949239. (Proceedings of the 5th International Conference on Confluence 2014: The Next Generation Information Technology Summit). https://doi.org/10.1109/CONFLUENCE.2014.6949239