Computing Starts with Arrangement: Developing a Classification Tool Integrating The Apriori Algorithm In The Association Rule of Data Mining

  • Tina Susan Thomas, Dr. V. Balaji

Abstract

A Document Classification can be explained as a system of classification of all pdf formatted document into their relevant classes. In recent years documents are generated in a large amount, these documents need to be classified into their specific categories. The main objective is to make a document classifier using machine learning algorithms and Natural Language Processing (NLP), algorithm like Stochastic Gradient Descent Classifier, Neural Network and Multinomial Binomial Classifier. We will also discuss how these algorithms can be executed in python programming and also show how these documents are pre-processed by integrating the association rule of data mining and effectively using the apriori algorithm.

Published
2020-05-15
How to Cite
Tina Susan Thomas, Dr. V. Balaji. (2020). Computing Starts with Arrangement: Developing a Classification Tool Integrating The Apriori Algorithm In The Association Rule of Data Mining. International Journal of Advanced Science and Technology, 29(10s), 7255-7258. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/23680
Section
Articles