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Data Classification Using Waikato Environment For Knowledge Analysis - Jahnavi Yeturu

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2019-02-04
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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 th ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Jahnavi Yeturu
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2019
Viršelio tipas Minkšti viršeliai
EAN 9786139445936
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66,82 € 89,10 €