Enhancing the Data Mining Tool WEKA
Pranav Kotak, Hiral Modi · 2020 5th International Conference on Computing, Communication and Security (ICCCS) · 2020
Data Mining is the key to get the best conclusive intuition behind a large chunk of data. WEKA has been the center of the talk because of its wide functionalities which include Data Mining Algorithms like Naϊve Bayes Classifier, Support Vector Machine, Decision Tree, KStar etc. which is helping various industries today to make their work quicker and superior. Even though it provides functionalities there are some disadvantages to the same. This paper aims at overcoming the major disadvantages/drawbacks of the Tool by proposing different approaches. There have been experiments carried out for a few approaches to validate the approach as well.