DISCOVERY OF HIERARCHICAL TEMPORAL ASSOCIATION RULES USING FP - GROWTH

• Author(s):

  Bharathwaj.S | Gowtham.N | Harish.C | Mrs.Anuradha.R

• Keywords:

  Association Rule Mining, Data Mining ,FP-Tree, Item Lifespan, Maximum Common Occurrence Period, Time Granules.

• Abstract:

  In The First Scan, It Finds Support For Each Item And Sort The Frequent Item In Descending Order. In The Second Scan, Two Transactions Are Checked At A Time And It Is Overlapped If It Follows Same Path. In Each Transaction, The Maximum Common Occurrence P

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Other Details

• Paper id:

  IJSARTV3I38690

• Published in:

  Volume: 3 Issue: 3 March 2017

• Publication Date:

  2017-03-27

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