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Generation of Frequent sensor epochs using efficient Parallel Distributed mining algorithm in large IOT

  • Published:2019-12 Issue: Volume:148 Page:107-114
  • ISSN:0140-3664
  • Container-title:Computer Communications
  • language:en
  • Short-container-title:Computer Communications

Author:

Rani R.M.,Pushpalatha M.

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference20 articles.

1. Mining associated patterns from wireless sensor;Mamunur Rashid;Netw. IEEE Trans. Comput.,2015

2. A New Representation Structure for Mining Association Rules from Wireless Sensor Networks;Boukerche,2007

3. Share-frequent sensor patterns mining from wireless sensor network data;Mamunur Rashid;IEEE Trans. Parallel Distrib. Syst.,2015

4. Anjan Das, Horizontal vs. Vertical Partitioning in Association Rule Mining: A Comparison, 2008.

5. A new fast vertical method for mining frequent patterns;Deng;Int. J. Comput. Intell. Syst.,2012

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1. A MapReduce-based approach to social network big data mining;Journal of Computational Methods in Sciences and Engineering;2023-10-06

2. FRHO: Fuzzy rule-based hybrid optimization for optimal cluster head selection and enhancing quality of service in wireless sensor network;The Journal of Supercomputing;2023-03-09

3. LCTree-Based Approach for Mining Frequent Items in Real-Time;Computational Intelligence and Neuroscience;2022-10-14

4. Frequent pattern mining algorithms in fog computing environments: A systematic review;Concurrency and Computation: Practice and Experience;2022-07-26

5. AN ANALYSIS OF SECURITY PERSPECTIVE IN INDUSTRIAL IOT;INT J EARLY CHILD SP;2022
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