Data Classification Using Waikato Environment For Knowledge Analysis

ISBN-13: 9786139445936 / Angielski / Miękka / 2019 / 156 str.

Jahnavi Yeturu

Opis

Classification is a method of categorizing or assigning class labels to a pattern set under the supervision of a teacher. Classification is also called as supervised learning. The patterns are initially partitioned into training and test sets. Training set is used to train the classifier and the test set is used to evaluate the accuracy of a classifier. WEKA is open source software, which is developed by the University of Waikato in New Zealand. The system is written using object oriented language JAVA. There are different levels at which WEKA can be used. WEKA provides implementation of Data Mining and Machine Learning Algorithms. WEKA Explorer is used for preprocessing, attribute selection, filtering, classification, clustering, association analysis, visualization etc. Experimentation using Waikato Environment for Knowledge Analysis has been performed for classification.

O autorze

Yeturu, Jahnavi
Y. Jahnavi received her BTech (CSE) from JNTUH, MTech (CSE) from Sri Venkateswara Univeristy, Tirupathi and PhD (CSE) degree from GITAM University, Visakhapatnam. She qualified GATE, APSET and NET examinations. She is currently working as a Professor and Head in the Department of Computer Science and Engineering at GIST, Andhra Pradesh, India.