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FP-Tree and Its Variants: Towards Solving the Pattern Mining Challenges

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Proceedings of First International Conference on Smart System, Innovations and Computing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 79))

Abstract

Mining patterns from databases is like searching for precious gems which is a gruesome task but still a rewarding one. The frequent patterns are believed to be valuable assets for the researchers that provide them useful information. The frequent and rare pattern mining paradigm is broadly divided into Apriori and FP-Tree-based approaches. Experimental results and performance evaluation available in the literature have established the fact that FP-Tree-based approaches are superior to the Apriori ones on various grounds. This paper explores the various modifications of FP-Tree that were developed to tackle the major pattern mining research challenges. Through this paper, an attempt has been made to review the usefulness and applicability of the most eminent data structure in the domain of pattern mining, the FP-Tree.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Tezpur University, Napaam, Sonitpur, 784028, Assam, India

    Anindita Borah & Bhabesh Nath

Authors
  1. Anindita Borah
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  2. Bhabesh Nath
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Correspondence to Anindita Borah .

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Editors and Affiliations

  1. College of Engineering, Iowa State University, Ames, Iowa, USA

    Arun K. Somani

  2. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  3. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Ankit Mundra

  4. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

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Borah, A., Nath, B. (2018). FP-Tree and Its Variants: Towards Solving the Pattern Mining Challenges. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_51

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  • DOI: https://doi.org/10.1007/978-981-10-5828-8_51

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  • Print ISBN: 978-981-10-5827-1

  • Online ISBN: 978-981-10-5828-8

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