Discovery of Knowledge Using Association Rules in Wireless Sensor Epocs-a Survey

  • Authors

    • R. M.Rani
    • M. Pushpalatha
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.21035
  • Wireless Sensor Networks, Association Rule Mining, Candidate generation, Frequent Pattern growth, Associated Sensor Patterns.

  • Abstract

    Data mining and knowledge discovery in huge data streams have recently involved in more applications used for decision making. Currently in wireless sensor networks, various mining techniques are used to discover knowledge on sensor data. Applying mining algorithm in wireless sensor data faces many challenges such as continuous arrival of sensor data, fast and huge data arrival, changes of mining results over time, online mining, data transformation, changing network topology, resource constraints and have emerged into various research problems.  In Wireless Sensor Database, this paper presents a review on various approaches of association rule mining algorithms using various techniques forming sensor association rules generating frequent patterns to find upcoming sensor events or sensor fault detection or to estimate the missing sensor readings.

     

     

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  • How to Cite

    M.Rani, R., & Pushpalatha, M. (2018). Discovery of Knowledge Using Association Rules in Wireless Sensor Epocs-a Survey. International Journal of Engineering & Technology, 7(4.10), 436-439. https://doi.org/10.14419/ijet.v7i4.10.21035

    Received date: 2018-10-05

    Accepted date: 2018-10-05

    Published date: 2018-10-02