Machine Learning Applications Using Waikato Environment for Knowledge Analysis

Abstract

Data is the most important word of the present world. As nowadays’ data is growing rapidly in every second, handling of data has become a great challenge. Data mining basically extracts knowledge from large amount of data and is used to obtain rules or patterns from the existing data. As Machine Learning (ML) is introduced, it applies new algorithms on the pattern of data and from past experience. ML is used so that the machine can handle the data more efficiently. Many algorithms are used for this purpose. WEKA-knowledge analysis based on the Waikato environment is introduced as a data mining platform and it has the facility to use machine learning algorithms with reference to data mining.