國立虎尾科技大學 |

Enabling AI Applications in Data Science

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Enabling AI Applications in Data Science/ edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa.
other author:	Hassanien, Aboul-Ella.
Description:	IX, 650 p. 220 illus., 154 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering—Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-52067-0
ISBN:	9783030520670

Enabling AI Applications in Data Science
Enabling AI Applications in Data Science[electronic resource] /edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa. - 1st ed. 2021. - IX, 650 p. 220 illus., 154 illus. in color.online resource. - Studies in Computational Intelligence,9111860-9503 ;. - Studies in Computational Intelligence,564.

Part I: Artificial Intelligence and Optimization -- Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models -- The Human Mental Search Algorithm for Solving Optimisation Problems -- Reducing Redundant Association Rules Using Type-2 Fuzzy Logic -- Identiﬁability of Discrete Concentration Graphical Models with a Latent Variable -- An Automatic Classiﬁcation of Genetic Mutations by Exploring Different Classiﬁers -- Towards Artificial Intelligence: Concepts, Applications, and Innovations -- Part II: Big Data and Artificial Intelligence Applications -- In Depth Analysis, Applications and Future Issues of Artiﬁcial Neural Network -- Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture -- Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities.

This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.

ISBN: 9783030520670

Standard No.: 10.1007/978-3-030-52067-0doiSubjects--Topical Terms:

1297966
Engineering—Data processing.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

Enabling AI Applications in Data Science
LDR:02868nam a22004215i 4500 001 1049560
003 DE-He213
005 20210925131313.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030520670 $9 978-3-030-52067-0
024 7 $a 10.1007/978-3-030-52067-0 $2 doi
035 $a 978-3-030-52067-0
050 4 $a TA345-345.5
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a TB $2 thema
082 0 4 $a 620.00285 $2 23
245 1 0 $a Enabling AI Applications in Data Science $h [electronic resource] / $c edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a IX, 650 p. 220 illus., 154 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-9503 ; $v 911
505 0 $a Part I: Artificial Intelligence and Optimization -- Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models -- The Human Mental Search Algorithm for Solving Optimisation Problems -- Reducing Redundant Association Rules Using Type-2 Fuzzy Logic -- Identiﬁability of Discrete Concentration Graphical Models with a Latent Variable -- An Automatic Classiﬁcation of Genetic Mutations by Exploring Different Classiﬁers -- Towards Artificial Intelligence: Concepts, Applications, and Innovations -- Part II: Big Data and Artificial Intelligence Applications -- In Depth Analysis, Applications and Future Issues of Artiﬁcial Neural Network -- Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture -- Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities.
520 $a This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Data Engineering. $3 1226308
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Hassanien, Aboul-Ella. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 683778
700 1 $a Taha, Mohamed Hamed N. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1315375
700 1 $a Khalifa, Nour Eldeen M. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1315374
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030520663
776 0 8 $i Printed edition: $z 9783030520687
776 0 8 $i Printed edition: $z 9783030520694
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-030-52067-0
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)