Overview of data mining with Python modules

2Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Big data describes a huge amount of data in structured and unstructured form that makes a business on a daily basis and is not the amount of data that is important. It is huge in size and growing more with time. Big data is generated through various fields such as stock exchanges, jet engines, social media sites etc. The data is searched for a specific information. The process of searching specific data in big data is known as data mining that is done with multiple methods. The most common and efficient method of data mining is by using python language. There are multiple libraries in python that are used in data mining. The paper discusses the orange, matminer and scikit-learn modules of python and provides an overview with the discussion of data mining techniques.

Cite

CITATION STYLE

APA

Sharma, S. K., & Paliwal, M. (2023). Overview of data mining with Python modules. In AIP Conference Proceedings (Vol. 2427). American Institute of Physics Inc. https://doi.org/10.1063/5.0101171

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free