The Partial-Value Association Discovery Algorithm and Applications

Nong Ye, Ting Yan Fok, James Collofello, Douglas Montgomery, Kevin Mills

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Existing techniques for machine learning and data mining have shortcomings in handling data of different types, data without a priori knowledge of data dependence, and data with variable relations varying in different value ranges. This paper illustrates how the Partial-Value Association Discovery (PVAD) algorithm overcomes shortcomings of existing machine learning and data mining techniques. The paper also demonstrates how the PVAD algorithm was used to analyze engineering student data and computer network data for identifying characteristics of engineering retention and network traffic normalcy.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6-13
Number of pages8
ISBN (Electronic)9781538693469
DOIs
StatePublished - Apr 26 2019
Event2019 Amity International Conference on Artificial Intelligence, AICAI 2019 - Dubai, United Arab Emirates
Duration: Feb 4 2019Feb 6 2019

Publication series

NameProceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019

Conference

Conference2019 Amity International Conference on Artificial Intelligence, AICAI 2019
CountryUnited Arab Emirates
CityDubai
Period2/4/192/6/19

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Keywords

  • Data association
  • Data mining
  • Engineering retention
  • Machine learning
  • Network traffic analysis

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Ye, N., Fok, T. Y., Collofello, J., Montgomery, D., & Mills, K. (2019). The Partial-Value Association Discovery Algorithm and Applications. In Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019 (pp. 6-13). [8701378] (Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AICAI.2019.8701378