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portada Data Classification Using Waikato Environment For Knowledge Analysis
Type
Physical Book
Author
Publisher
Language
English
Pages
156
Format
Paperback
Dimensions
22.9x15.2x0.9 cm
Weight
0.24 kg.
ISBN13
9786139445936
Categories

Data Classification Using Waikato Environment For Knowledge Analysis

Jahnavi Yeturu (Author) · LAP Lambert Academic Publishing · Paperback

Data Classification Using Waikato Environment For Knowledge Analysis - Yeturu, Jahnavi

New Book Imported to Japan
Delivery: 12 Oct - 15 Oct Shipping: 13 to 14 business days.
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Synopsis "Data Classification Using Waikato Environment For Knowledge Analysis"

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.

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