The week's pick
Reseach Article
Survey on Implementation of Market Basket Analysis using Hadoop Framework
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 134 - Number 10 |
| Year of Publication: 2016 |
| Authors: Rupali S. Vairagade, Tejas Shah, Tejas Chavan, Rohan Bhatt |
10.5120/ijca2016907975
|
Rupali S. Vairagade, Tejas Shah, Tejas Chavan, Rohan Bhatt . Survey on Implementation of Market Basket Analysis using Hadoop Framework. International Journal of Computer Applications. 134, 10 ( January 2016), 6-9. DOI=10.5120/ijca2016907975
Abstract
Market Basket Analysis is a technique to identify items likely to be purchased together. A predictive market basket analysis is used to identify sets of products/services purchased or events that occur generally in sequence. The basic approach is to find the associated pairs of items in a store when there are transaction data sets. Hence, our proposed system performing ‘Market Basket Analysis’ will help the retailers to make better decisions throughout the entire company which will help in increasing the profits and effectiveness of the organization. Also, by controlling the order of products and marketing visits or the transactions of the customers could be increased. The system will take the large transactional data sets from the retailers and find the associations between different items from the item sets. These associations of the items purchased frequently and the items that are purchased together will be presented in graphical formats such as tables, pie-charts, bar graphs etc. There are different functionalities or patterns providing for performing analysis such as weekend -weekday sales analysis, month-end sales analysis analysis on different customer profiles etc. The system will be built in ‘Apache SPARK’ framework using Scala and processed on Amazon AWS and the data will be stored at its HDFS on the cluster.
References
- Apache Hadoop Project, http://hadoop.apache.org/
- Apache Spark, http://spark.apache.org/
- Jongwook Woo .Market Basket Analysis Algorithms with MapReduce, DMKD-00150,Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Oct 28 2013, Volume 3, Issue 6, pp445-452,ISSN 1942-4795
- Jongwook Woo, Science & Engineering Research Support Society (SERSC), Sept 2012 .Market Basket Analysis Algorithm on Map/Reduce in AWS EC2”, in International Journal of Advanced Science and Technology (IJAST), Volume 46, No 3, pp25-38, ISSN 2005-4238
- Jongwook Woo, Siddharth Basopia, Yuhang Xu, Seon Ho Kim, The Third International Conference on Emerging Databases (EDB 2011). Market Basket Analysis Algorithm with NoSQL DB HBase and Hadoop, Songdo Park Hotel, Incheon, Korea, Aug. 25-27,2011
- Jongwook Woo, Apriori-Map/Reduce Algorithm ,The 2012 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2012), Las Vegas (July 16-19, 2012)
- Bradford Stephens .Building a business on an open source distributed computing, Oreilly Open Source Convention (OSCON) 2009, July 20-24, 2009, San Jose, CA
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- Jongwook Woo, Introduction to Cloud Computing ,the 10th KOCSEA 2009 Symposium, UNLV, Dec 18-19, 2009
- Jongwook Woo, The Technical Demand of Cloud Computing ,Korean Technical Report of KISTI (Korea Institute of Science and Technical Information), Feb 2011
- Apache HBase, “http://hbase.apache.org/”
- Jimmy Lin and Chris Dyer, Morgan & Claypool Publishers,2010.
- GNU Coord, http://www.coordguru.com/
- Jongwook Woo, Dong-Yon Kim, Wonhong Cho, MinSeok Jang, Integrated Information Systems Architecture in e-Business The 2007 international Conference on e-Learning, e-Business, Enterprise Information Systems, e- Government, and Outsourcing, Las Vegas (June 26-29,2007)
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