• ISSN: 2349-6002
  • UGC Approved Journal No 47859
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COMPARATIVE STUDY OF APRIORI AND FP-GROWTH ALGORITHM IN HORIZONTALLY PARTITIONED DATA USING CLIENT SERVER APPROACH

  • Unique Paper ID: 145161
  • Volume: 4
  • Issue: 7
  • PageNo: 555-559
  • Abstract:
  • Data mining is one of the important fields of computer science, which deals with mining of important information from the data. Association rule mining is one of the association rule mining technique is getting very popular now a days and is getting much more attention from the researchers. Mining data from distributed database is also one of the important aspect of data mining very data of one site is not known to the other site. This research paper focus on Comparative Study of Apriori and FP-Growth algorithm in Horizontally Partitioned Data using Client Server Approach and software is implemented in NETBEANS IDE 8.2. Concepts of Client Server technology is being used for implementation of distributed database.
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  • ISSN: 2349-6002
  • Volume: 4
  • Issue: 7
  • PageNo: 555-559

COMPARATIVE STUDY OF APRIORI AND FP-GROWTH ALGORITHM IN HORIZONTALLY PARTITIONED DATA USING CLIENT SERVER APPROACH

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UGC Approved
Journal no 47859

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