GitHub

MariamTurk/AI_Speaker-Dialect-Recognition-Using-Machine-Learning-Algorithms-in-WEKA

This project explores the application of machine learning techniques to recognize speaker dialects using a provided dataset. The algorithms are implemented using the WEKA software suite, and their ...
IEEE

Comparative analysis of classification algorithms on three different datasets using WEKA

Abstract: This paper analyzes the most useful and popular classification algorithms used by the Machine Learning systems, particularly in the artificial intelligent systems. It is focused on the ...
IEEE

Performance Evaluation of Classification Algorithm in Weka using Parallel Performance Profiling and Computing Technique

Abstract: At present, the size of the data is growing rapidly. In such a situation, it is necessary to keep an eye on the speed of the data without undermining it. It is also important to note that ...
TechRepublic

Comparative Analysis of WEKA Data Mining Algorithm RandomForest, RandomTree and LADTree for Classification of Indigenous News Data

The amount of data in the world and in the people lives seems ever-increasing and there’s no end to it. The authors are overwhelmed with data. The WWW overwhelms the user with information. The Weka ...
Scientific Research Publishing

Rani, Y., Manju and Rohil, H. (2014) Comparative Analysis of BIRCH and CURE Hierarchical Clustering Algorithm Using WEKA 3.6.9. The SIJ Transactions on Computer Science ...

ABSTRACT: This paper presents a new algorithm for solving unit commitment (UC) problems using a binary-real coded genetic algorithm based on k-means clustering technique. UC is a NP-hard nonlinear ...
GitHub

Speaker Dialect Recognition Using Machine Learning Algorithms in WEKA

This project explores the application of machine learning techniques to recognize speaker dialects using a provided dataset. The algorithms are implemented using the WEKA software suite, and their ...