Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

A Qualitative Analysis to Evaluate Key Characteristics of Web Mining based e-Commerce Applications

Author 1: Sohail Tariq Author 2: Ramzan Talib Author 3: Muhammad Kashif Hanif Author 4: Muhammad Umar Sarwar Author 5: Hafiz Muhammad Rashid Author 6: Muhammad Zaman Khalid
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 1 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100147

Download PDF Cite Call for Papers

Abstract

E-Commerce applications are playing vital role by providing competitive advantage over business peers. It is important to get interesting patterns from e-commerce transactions to analyze customer experience, customer likelihood. For this, web mining based e-commerce applications are being developed for various e-businesses. There are different characteristics like user interface and interactivity, which can make these applications more efficient and effective. Well-defined criteria are needed to prioritize key characteristics of these applications. The primary intention of this work is to identify and prioritize the key characteristics and their impact on designing these applications. This paper provides a qualitative survey based evaluation and prioritization of key characteristics.

Keywords

Web Mining e-Commerce Applications User Interface Interactivity

How to Cite this Article

Tariq, S., Talib, R., Hanif, M. K., Sarwar, M. U., Rashid, H. M., & Khalid, M. Z. (2019). A Qualitative Analysis to Evaluate Key Characteristics of Web Mining based e-Commerce Applications. International Journal of Advanced Computer Science and Applications, 10(1). https://doi.org/10.14569/IJACSA.2019.0100147

Tariq, Sohail, et al.. "A Qualitative Analysis to Evaluate Key Characteristics of Web Mining based e-Commerce Applications." International Journal of Advanced Computer Science and Applications, vol. 10, no. 1, 2019, https://doi.org/10.14569/IJACSA.2019.0100147.

@article{Tariq2019,
  title     = {A Qualitative Analysis to Evaluate Key Characteristics of Web Mining based e-Commerce Applications},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {1},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Sohail Tariq and Ramzan Talib and Muhammad Kashif Hanif and Muhammad Umar Sarwar and Hafiz Muhammad Rashid and Muhammad Zaman Khalid},
  doi       = {10.14569/IJACSA.2019.0100147},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100147}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA