Clustering and pattern mining of customer transaction data using Apriori algorithm

1Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Clustering customer transaction data is an important procedure for analyzing customer behavior in retail and e-Commerce. Clustering of trading data with finding patterns using Apriori algorithm will helps to develop a market strategy and increases the profit. The system uses Apriori algorithm for finding pattern. The input of Apriori algorithm is the output of Customer Transaction Clustering Algorithm. In a system the customer transaction data is presented by using transaction tree and the distance between them is also calculated. Cluster the customer transaction data by using customer transaction clustering algorithm. The system selects frequent customer as representatives of customer groups. Finally, the system forwards the output of clustering to Apriori algorithm for finding patterns.

References Powered by Scopus

RTED: A robust algorithm for the tree edit distance

157Citations
N/AReaders
Get full text

PurTreeClust: A clustering algorithm for customer segmentation from massive customer transaction data

52Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Performance Improvement of Apriori Algorithm with Transaction Reduction and Hash Based Approach

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Mortale, S. L., & Darak, M. J. (2019). Clustering and pattern mining of customer transaction data using Apriori algorithm. International Journal of Recent Technology and Engineering, 8(3), 8035–8040. https://doi.org/10.35940/ijrte.C6424.098319

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

67%

Lecturer / Post doc 2

22%

Professor / Associate Prof. 1

11%

Readers' Discipline

Tooltip

Computer Science 7

64%

Engineering 2

18%

Neuroscience 1

9%

Mathematics 1

9%

Save time finding and organizing research with Mendeley

Sign up for free