• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Unsupervised Clustering Categorical Data Using Evolutionary Optimization Techniques

Unsupervised Clustering Categorical Data Using Evolutionary Optimization Techniques

Paperback

General Education

Currently unavailable to order

ISBN10: 0359878024
ISBN13: 9780359878024
Publisher: Lulu.com
Pages: 184
Weight: 0.56
Height: 0.42 Width: 6.00 Depth: 9.00
Language: English
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.

Also in

General Education