The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
E-Commerce Data Alchemy: Behind the Picture of Data Collection and Pre-Processing
|
|
Author(s): Anupam Bonkra (Department of Computer Science and Engineering (CSE), MM Engineering College, Maharishi Markandeshwar (Deemed), India), Pummy Dhiman (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)and Mohd Asif Shah (Department of Economics, Kardan University, Kabul, Afghanistan)
Copyright: 2025
Pages: 22
Source title:
Strategic Innovations of AI and ML for E-Commerce Data Security
Source Author(s)/Editor(s): Gaganpreet Kaur (Chitkara University, India), Jatin Arora (Chitkara University, India), Vishal Jain (Sharda University, Greater Noida, India)and Asadullah Shaikh (Najran University, Saudi Arabia)
DOI: 10.4018/979-8-3693-5718-7.ch008
Purchase
|
Abstract
This conversion of raw data into valuable insights is like a complex alchemical process, even more so in the current era where decisions depend on data and are driven by it. It is the work that occurs at a few key stages of data collection and preliminary processing, which is when raw data becomes valuable. This study examines different elements of pre-processing and data collection associated with the complex techniques and steps required during these crucial phases in the data analysis process. These studies seek to establish an overall picture of the fine-grained web of operations and tactics that dictate these crucial phases in data ordering. Expert data analysts and interpreters can capitalize on the tremendous amount of information by meticulously examining and interpreting data. This capability enables them to transmute raw facts into insightful knowledge, fostering innovative thinking and informed decision-making.
Related Content
|
Parth Nagar, Srinath M. S..
© 2027.
48 pages.
|
|
Swapnali Pravin Gaikwad, Saurabh Vinayak Hembade.
© 2027.
36 pages.
|
|
Titiksha Tulsidas Bhagat, Shweta Bondre, Vipin Bondre, Uma Yadav, Priya Dasarwar.
© 2027.
26 pages.
|
|
Anshik Kumar Tiwari, Brindha Subburaj.
© 2027.
22 pages.
|
|
Grace Shalini T., Pratham Shrivastav, Parthiv Gopa.
© 2027.
36 pages.
|
|
S. Aarthi, Jaypalsinh A. Gohil.
© 2027.
30 pages.
|
|
Arul Selvam P., Tamije Selvy P..
© 2027.
30 pages.
|
|
|