Data Mining Approach in Retail Knowledge Discovery and Internet Technologies

Authors

  • Simranjit Kaur M. Tech. Student, Punjabi University Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India
  • Seema Baghla Assistant Professor, Computer Science Engineering, Yadavindra College of Engineering, Punjabi University Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India

DOI:

https://doi.org/10.51983/ajeat-2018.7.2.998

Keywords:

Data mining,, online Shoping, SPSS, Association Technique

Abstract

Online shopping has a shopping channel or purchasing various items through online medium. Data mining is defined as a process used to extract usable data from a larger set of any raw data. The data set extraction from the demographic profiles and Questionnaire to investigate the gathered based by association. The method for shopping was totally changed with the happening to internet Technology. Association rule mining is one of the important problems of data mining has been used here. The goal of the association rule mining is to detect relationships or associations between specific values of categorical variables in large data sets.

References

Bejju, “Sales analysis of e-commerce websites using data mining techniques,” International Journal of Computer Applications, vol. 133, no. 5, pp. 36-40, 2016.

B. M. Ramageri, “Data mining techniques and application,” Indian Journal of Computer Science and Engineering, vol. 1, no. 4, pp. 301-305, 2014.

B. Pahwa, S. Taruna, and N. Kasliwal, “Role of data mining in analysing consumer’s online buying behaviour,” International Journal of Business and Management Invention, vol. 6, no. 11, pp. 45-51, 2017.

D. Kalaivani, P. Sumathi, and T. Arunkumar, “Customer behaviour predictive modelling for online shopping using tuned decision tree method,” Helix the Scientific Explorer, vol. 7, no. 5, pp. 1994-1999, 2017.

J. Arora, “Prospect of e-retailing in India, the shopper’s discernment in regards to shopping has been changed with the presentation of web media,” Journal of Computer Engineering, vol. 10, no. 3, pp. 11-15, 2013.

J. K. Gerrikagoitia, I. Castander, F. Rebon, and A. A. Sorzabal, ”New trends of intelligent e-marketing based on web mining for e-shops,” in International Conference on Strategic Innovative Marketing, pp. 75-83, 2015.

K. Singh, “Retail sector in India: present scenario, emerging opportunities and challenges,” Journal of Business and Management, vol. 16, no. 4, pp. 72-81, 2014.

O. Furrer and D. Sudharshan, “Internet marketing research: opportunities and problem,” Qualitative Market Research: International Journal, vol. 4, no. 3, pp. 123-129, 2001.

Qinghai, C. Wenyuan, and L. Kaiming, “The online shopping change the retail business model: a survey of the people use online shopping in china,” Journal of Business and Management, vol. 15, no. 5, pp. 77-110, 2014.

Sana, “A study on the impact of online shopping upon retail trade business,” Journal of Business and Management, pp. 74-78, 2015.

S. K. Dawn and U. Kar, “E-tailing in India: its issues opportunities and effective strategies for growth and development,” International Journal of Multidisciplinary Research, vol. 1, no. 3, pp. 101-115, 2011.

Yassir and S. Nayak, “Issues in data mining and information retrieval,” International Journal of Computer Science & Communication Networks, vol. 2, no. 1, pp. 93-98, 2014.

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Published

30-09-2018

How to Cite

Kaur, S., & Baghla, S. (2018). Data Mining Approach in Retail Knowledge Discovery and Internet Technologies. Asian Journal of Engineering and Applied Technology, 7(2), 100–105. https://doi.org/10.51983/ajeat-2018.7.2.998