Enhancing the Performance of Association Rule Mining Using Inverted Index Compression
Abstract & Details
Research Area
Information Technology
Keywords
arm
association rule mining
inverted index compression
Abstract
Extracting and Mining information from massive data collection is to be a great challenge nowadays. The interest in huge volume of data collection has increased exponentially due to their needs. So the size of the data as well as the computational complexity also increased. In order to reduce the space and time complexity, we are going to implement shuffling and sorting strategies in inverted index compression and also association rule mining. Thus the above strategies propose a new framework which improves the efficiency and solve the problem of space and time complexity.
License
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Arul Jothi K | New Prince Shri Bhavani College of Engineering and Technology |
| 2 | Esa Mohammed A | New Prince Shri Bhavani College of Engineering and Technology |
| 3 | Hariharan N | New Prince Shri Bhavani College of Engineering and Technology |
| 4 | Mohan R | New Prince Shri Bhavani College of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
K, Arul Jothi, A, Esa Mohammed, N, Hariharan, & R, Mohan (2017). Enhancing the Performance of Association Rule Mining Using Inverted Index Compression. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 1244-1247.
MLA Style
K, Arul Jothi, et al. "Enhancing the Performance of Association Rule Mining Using Inverted Index Compression." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 1244-1247.
IEEE Style
Arul Jothi K, Esa Mohammed A, Hariharan N, and Mohan R, "Enhancing the Performance of Association Rule Mining Using Inverted Index Compression," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 1244-1247, 2017.
Vancouver Style
K Arul Jothi, A Esa Mohammed, N Hariharan, R Mohan. Enhancing the Performance of Association Rule Mining Using Inverted Index Compression. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):1244-1247.
Harvard Style
K, Arul Jothi, A, Esa Mohammed, N, Hariharan, & R, Mohan (2017) 'Enhancing the Performance of Association Rule Mining Using Inverted Index Compression', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 1244-1247.
Chicago Style
K, Arul Jothi, et al. "Enhancing the Performance of Association Rule Mining Using Inverted Index Compression." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1244-1247.
Turabian Style
K, Arul Jothi, et al. "Enhancing the Performance of Association Rule Mining Using Inverted Index Compression." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1244-1247.
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