News Updates Wednesday 23rd Jan 2019 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Jan/Feb 2019 is 26 Jan 2019, Submit online or at
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Change Detection through Automatic Inference and Multiple Taxonomies

Author : Geeta V. Poul and P.D. Lambhate

Pages : 2637-2641
Download PDF

Data mining is used to find interesting information from the raw data. The frequent itemset mining used to find number of itemsets occurred more number of times in particular time duration. It may happen that a particular item occurs for a very specific time but its frequency is more. Such itemsets are considered as non-redundant itemsets. Thus the study of temporal data mining (change mining) is important. Number of data mining algorithms introduced to find frequent itemsets in the data. The work is based on HIGEN miner algorithm to find redundant as well as non-redundant itemsets. The proposed work finds HIStory GENeralized pattern (HIGEN) using automatic inference taxonomy in a very less time. The experiment performed on both synthetic and real time datasets to find value satisfying minimum support at higher level of taxonomy.

Keywords: Data mining; Minimum support; Association rule; change mining.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.4 (Aug-2015)


Call for Papers
  1. IJCET- Jan/Feb 2019 Issue

    Submission Last Date
    26 Jan
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-March-2019
  5. IJAIE-March-2019
  6. IJCSB-March-2019
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved