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Improvisation in Frequent Pattern Mining Technique

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Proceedings of the International Conference on Data Engineering and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 469))

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Abstract

At present, so many techniques are available which can be applicable to wide range of datasets. They provide an effective way to mine frequent pattern from the datasets. Most of them use different kind s of data structures for the processing which provide variations in requirement of time and space. Generally, traditional techniques are restricted to the narrow area or provide effective results only in the specific environment. So, it requires continuous optimization and updation. Dynamic data structure and mapping shows more effectiveness compared to the traditional techniques in terms of time and space requirement for processing.

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Authors and Affiliations

  1. L J Institute of Engineering and Technology, Ahmedabad, India

    Sagar Gajera &  Manmay Badheka

Authors
  1. Sagar Gajera
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  2. Manmay Badheka
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Corresponding author

Correspondence to Sagar Gajera .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Sabar Institute of Technology, Tajpur, Sabarkantha, Gujarat, India

    Amit Joshi

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© 2017 Springer Science+Business Media Singapore

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Sagar Gajera, Manmay Badheka (2017). Improvisation in Frequent Pattern Mining Technique. In: Satapathy, S., Bhateja, V., Joshi, A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 469. Springer, Singapore. https://doi.org/10.1007/978-981-10-1678-3_29

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  • DOI: https://doi.org/10.1007/978-981-10-1678-3_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1677-6

  • Online ISBN: 978-981-10-1678-3

  • eBook Packages: EngineeringEngineering (R0)

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