Classification of Knowledge Based Image using Decision Tree Algorithm
Vadthe Narasimha1, B.Satyanarayana2, K. Krishnaiah3
1Vadthe Narasimha, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
2Dr. B. Satyanarayana, CMR Institute of Technology, Hyderabad (Telangana), India.
3K. Krishnaiah, TKR College of Engineering, Hyderabad (Telangana), India.
Manuscript received on 20 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1227-1231 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A12190581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper explores a desire tree classifier primarily based totally on machine analyzing to extract understanding within the shape of class policies from the satellite tv for pc and topographical garage records .The accuracy of the classifier can be checked by means of a test set. The classifier, as quickly as licensed is used to assume the magnificence label of future unclassified statistics. really specific models are proposed for kind, like preference trees, neural networks, and theorem perception networks, fuzzy devices, and everyday fashions. some of the ones fashions desire bushes rectangular measurement used for type. ID3 [and its variants like C4.5] and CART square degree a number of the handiest identified classifiers that use preference wooden. unique desire tree classifiers comprise c program language period Classifier and dash which reputation on making it feasible to mine databases that do not in form in crucial memory with the aid of manner of really requiring consecutive sweeps of the records.
Keywords: Decision Tree Algorithm, Data Mining, Multispectral Images, C4.5 Algorithm.
Scope of the Article: Image Security