Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Blending Association Rules for Knowledge Discovery in Big Data

Blending Association Rules for Knowledge Discovery in Big Data
View Sample PDF
Author(s): Ali Anaissi (The University of Sydney, Australia) and Madhu Goyal (The University of Technology Sydney, Australia)
Copyright: 2019
Pages: 18
Source title: Enabling Technologies and Architectures for Next-Generation Networking Capabilities
Source Author(s)/Editor(s): Mahmoud Elkhodr (Central Queensland University, Australia)
DOI: 10.4018/978-1-5225-6023-4.ch012


View Blending Association Rules for Knowledge Discovery in Big Data on the publisher's website for pricing and purchasing information.


Data mining techniques have been widely applied in several domains to support a variety of business-related applications such as market basket analysis. For instance, basket market transaction accumulate large amounts of customer purchase data from their day-to-day operations. This paper delivers a strategy for the implementation of a systematic analysis framework built on the established principles used in data mining and machine learning areas.We employ Apriori and FP-growth algorithms coupled with support vector machine to implement our recommendation systems. Experiments are done using a real market dataset and the 0.632+ bootstrap method is used here in order to evaluate our framework. The obtained results suggest that the proposed framework will be able to generate benefits for grocery chain using a real-world grocery store data. FP-growth algorithm shows better performance over Apriori in terms of time complexity.

Related Content

S. Vijay Anand, Sathis Kumar B.. © 2023. 12 pages.
Sudarson Rama Perumal, Muthumanikandan V., Sushmitha J.. © 2023. 30 pages.
Sipra Swain, Biswa Ranjan Senapati, Pabitra Mohan Khilar. © 2023. 31 pages.
Uma Mageswari R., Nallarasu Krishnan, Mohammed Sirajudeen Yoosuf, Murugan K., Sankar Ram C.. © 2023. 20 pages.
Divya L., Pradeep Kumar T. S.. © 2023. 15 pages.
Pradeep Kumar T. S., Vetrivelan P.. © 2023. 15 pages.
Vanitha Veerasamy, Rajathi Natarajan. © 2023. 16 pages.
Body Bottom