36 citations · 82 across the 5 of their papers we have counts for
5 papers
Text Classification using Data Mining
S. M. Kamruzzaman, Farhana Haider, Ahmed Ryadh Hasan
Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefine…
Rule Extraction using Artificial Neural Networks
S. M. Kamruzzaman, Ahmed Ryadh Hasan
Artificial neural networks have been successfully applied to a variety of business application problems involving classification and regression. Although backpropagation neural net…
Pattern Classification using Simplified Neural Networks
S. M. Kamruzzaman, Ahmed Ryadh Hasan
In recent years, many neural network models have been proposed for pattern classification, function approximation and regression problems. This paper presents an approach for class…
Text Classification using Association Rule with a Hybrid Concept of Naive Bayes Classifier and Genetic Algorithm
S. M. Kamruzzaman, Farhana Haider, Ahmed Ryadh Hasan
Text classification is the automated assignment of natural language texts to predefined categories based on their content. Text classification is the primary requirement of text re…
Medical diagnosis using neural network
S. M. Kamruzzaman, Ahmed Ryadh Hasan, Abu Bakar Siddiquee +1
This research is to search for alternatives to the resolution of complex medical diagnosis where human knowledge should be apprehended in a general fashion. Successful application…