Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • 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
Contemporary techniques of data mining using Meta-heuristic algorithms

Contemporary techniques of data mining using Meta-heuristic algorithms

Bala, Manju

Paperback

General Computers

ISBN10: 1979580138
ISBN13: 9781979580137
Publisher: Createspace
Published: Dec 8 2017
Pages: 96
Weight: 0.23
Height: 0.20 Width: 5.00 Depth: 7.99
Language: English
Data mining is the process of knowledge discovery. It associates research in many fields such as databases, statistics, artificial intelligence and machine learning. Data mining can be carried out in two ways - Supervised learning and unsupervised learning. Supervised learning uses the known cases of well-defined patterns to get new patterns having feature of high interest and on the other hand in unsupervised learning no hypothesis is made on the relations among data sets to find out the pattern. The most important classification technique is clustering, in which a set of patterns are grouped into clusters based on some similarities

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