Issues

Other Journals Published by Timeline Publication Pvt. Ltd.

  • IJECCE
    IJECCE
  • IJEIR
    IJEIR
  • IJAIR
    IJAIR
  • IJAIM
    IJAIM
  • IJRAS
    IJRAS
  • IJISM
    IJISM
  • IJIRES
    IJIRES
  • IJASM
    IJASM
  • IJRIES
    IJRIES

Latest News

  • Submissions open

    "Submissions Open For Volume 11,Issue 6,Nov. - Dec. 2020"

  • Submissions open

    "Submissions Open For Volume 11,Issue 6,Nov. - Dec. 2020"

  • Successfully Published

    "Volume 11,Issue 4,July - Aug., 2020"

  • Send your paper at E-mail:

    submit2ijecce@yahoo.in , submit@ijecce.org

Use of Domain Knowledge In University

Risha Anurag Tiwari
Data mining is the process of extracting useful information from the huge amount of data stored in the databases. Data mining tools and techniques help to predict business trends those can occur in near future. Association rule mining is an important technique to discover hidden relationships among items in the transaction. In this Work Apriori, Apriori with Domain Knowledge, partitioning and sampling algorithms have been implemented and their performance is evaluated extensively. Apriori algorithm is implemented using K-Way join approach for support counting. Partitioning approach is implemented in the traditional In the case of sampling algorithm the dataset is first partitioned into a number of given partitions and then algorithm is applied by considering one partition as a sample
Select Volume / Issues:
Year:
2012
Type of Publication:
Article
Keywords:
domain; problem description; apriori algorithm; comparative study
Journal:
IJECCE
Volume:
3
Number:
2
Pages:
376-380
Month:
March
Hits: 1610

Indexed By:

  • 1.gif
  • 01.png
  • 1.png
  • 2.jpg
  • 2.png
  • 3.jpg
  • 3.png
  • 4.jpg
  • 4.png
  • 5.png
  • 6.jpg
  • 6.png
  • 7.jpg
  • 7.png
  • 8.jpg
  • 8.png
  • 9.jpeg
  • 9.jpg
  • 10.jpg
  • 10.png
  • 11.jpg
  • 11.png
  • 12.jpg
  • 12.png
  • 13.png
  • 14.jpg
  • 14.png
  • 15.jpg
  • 16.png
  • 17.jpg
  • 17.png
  • 19.png
  • copernicus.jpg
  • EuroPub-1.png