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Nature inspired computing for data science

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Nowadays, nature inspired computing has emerged as a new area of research which has taken a high pick in almost every field of computer science as well as data science in specific. Due to high popularity in data science, it attracts researchers from almost every field of data science to use it intelligently to analyse a massive amount of data. Nature inspired computing solves complex real world problems in various environmental situations by observing natural occurring phenomena. It helps to develop various computing techniques such as evolutionary computation, swarm intelligence, artificial immune system, neural network, etc. This is a kind of computing that mimics the behaviours of any biological agents or groups, the way they exchange and process information by doing collaborative task to achieve a particular goal or making a decision. The action of these biological agents motivates and inspires to imitate their activity to solve the problems in various era of data science. Based on the above idea, the researcher starts to use a group of solutions as agents instead of single solution (agent) to solve real-world problems or to achieve the specific goal with less time by covering the entire search space of the problem to get an optimal solution.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.3 MIN n

Penerbit

Switzerland : Springer., 2020

Deskripsi Fisik

302 hlm

Bahasa

English

ISBN/ISSN

9783030338206

Klasifikasi

006.3

Tipe Isi

text

Tipe Media

-

Tipe Pembawa

-

Edisi

Ed. 1

Subjek

FT
ebook

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Minakhi Rout

Versi lain/terkait

Lampiran Berkas

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