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portada UNSUPERVISED CLUSTERING CATEGORICAL DATA USING EVOLUTIONARY OPTIMIZATION TECHNIQUES
Type
Physical Book
Publisher
Author
Year
2019
Language
English
Pages
184
Format
Paperback
Dimensions
22.90 x 15.20 x 1.00 cm
ISBN13
9780359878024

UNSUPERVISED CLUSTERING CATEGORICAL DATA USING EVOLUTIONARY OPTIMIZATION TECHNIQUES

Dr. G. Surya Narayana (Author) · Lulu.com · Paperback

UNSUPERVISED CLUSTERING CATEGORICAL DATA USING EVOLUTIONARY OPTIMIZATION TECHNIQUES - Dr. G. Surya Narayana

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Synopsis "UNSUPERVISED CLUSTERING CATEGORICAL DATA USING EVOLUTIONARY OPTIMIZATION TECHNIQUES"

Data Mining (DM) [1] is defined as the extraction of knowledge from data. Several existing tools in data mining are available to forecast the trends in the data. In addition, Data mining can be used to identify and remove the irrelevant information. Apart from this, it enables us to derive knowledge, through which it become to make decisions that are used as a proactive measure in this process analysis. The traditional methods in knowledge extraction process that are under implementation at present are time consuming methods. Whereas the data mining has resolved this issue by overcoming the time consumption.

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