大葉大學圖書館 |

Advanced metaheuristic methods in big data retrieval and analytics[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	005.7
書名/作者:	Advanced metaheuristic methods in big data retrieval and analytics/ Hadj Ahmed Bouarara, Reda Mohamed Hamou, and Amine Rahmani, editors.
其他作者:	Bouarara, Hadj Ahmed,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2019]
面頁冊數:	1 online resource (xx, 320 p.)
標題:	Big data.
標題:	Metaheuristics.
ISBN:	9781522573395 (e-book)
ISBN:	9781522573388 (hardback)
書目註:	Includes bibliographical references and index.
內容註:	Chapter 1. A comprehensive study on internet of things based on key artificial intelligence technologies and industry 4.0 -- Chapter 2. Ecological data exploration -- Chapter 3. Context of the person in social networks -- Chapter 4. Study on the different forms of plagiarism in textual data and image: internal and external detection -- Chapter 5. Enrichment ontology via linked data -- Chapter 6. Big data and privacy state of the art -- Chapter 7. Cardiovascular disease prediction using data mining techniques: a proposed framework using big data approach -- Chapter 8. Classification and machine learning -- Chapter 9. Clear and private ad hoc retrieval models on Web data -- Chapter 10. Spam filtering and detection: state of the art and overview -- Chapter 11. Security in wireless sensor networks: Sybil attack detection and prevention -- Chapter 12. Hybridization of biogeography-based optimization and gravitational search algorithm for efficient face recognition.
摘要、提要註:	"This book focuses on new advancements of exploration, creation and development of metaheuristic algorithms in information retrieval models over big data environment and services. It presents how metaheuristics could affect in good or bad the results of different retrieval models and the impact of applying it in such complex and huge environment like big data"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7338-8

Advanced metaheuristic methods in big data retrieval and analytics[electronic resource] /
Advanced metaheuristic methods in big data retrieval and analytics[electronic resource] /Hadj Ahmed Bouarara, Reda Mohamed Hamou, and Amine Rahmani, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xx, 320 p.)

Includes bibliographical references and index.

Chapter 1. A comprehensive study on internet of things based on key artificial intelligence technologies and industry 4.0 -- Chapter 2. Ecological data exploration -- Chapter 3. Context of the person in social networks -- Chapter 4. Study on the different forms of plagiarism in textual data and image: internal and external detection -- Chapter 5. Enrichment ontology via linked data -- Chapter 6. Big data and privacy state of the art -- Chapter 7. Cardiovascular disease prediction using data mining techniques: a proposed framework using big data approach -- Chapter 8. Classification and machine learning -- Chapter 9. Clear and private ad hoc retrieval models on Web data -- Chapter 10. Spam filtering and detection: state of the art and overview -- Chapter 11. Security in wireless sensor networks: Sybil attack detection and prevention -- Chapter 12. Hybridization of biogeography-based optimization and gravitational search algorithm for efficient face recognition.

Restricted to subscribers or individual electronic text purchasers.

"This book focuses on new advancements of exploration, creation and development of metaheuristic algorithms in information retrieval models over big data environment and services. It presents how metaheuristics could affect in good or bad the results of different retrieval models and the impact of applying it in such complex and huge environment like big data"--Provided by publisher.

ISBN: 9781522573395 (e-book)Subjects--Topical Terms:

571002
Big data.

LC Class. No.: QA76.9.B45 / A34 2019e

Dewey Class. No.: 005.7

Advanced metaheuristic methods in big data retrieval and analytics[electronic resource] /
LDR:02384nmm a2200277 a 4500 001 513185
003 IGIG
005 20191024155242.0
006 m o d
007 cr cn
008 210929s2019 pau fob 001 0 eng d
010 $z 2018024574
020 $a 9781522573395 (e-book)
020 $a 9781522573388 (hardback)
035 $a (OCoLC)1056704331
035 $a 1081021273
040 $a CaBNVSL $b eng $e rda $c CaBNVSL $d CaBNVSL
050 0 0 $a QA76.9.B45 $b A34 2019e
082 0 0 $a 005.7 $2 23
245 0 0 $a Advanced metaheuristic methods in big data retrieval and analytics $h [electronic resource] / $c Hadj Ahmed Bouarara, Reda Mohamed Hamou, and Amine Rahmani, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2019]
300 $a 1 online resource (xx, 320 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A comprehensive study on internet of things based on key artificial intelligence technologies and industry 4.0 -- Chapter 2. Ecological data exploration -- Chapter 3. Context of the person in social networks -- Chapter 4. Study on the different forms of plagiarism in textual data and image: internal and external detection -- Chapter 5. Enrichment ontology via linked data -- Chapter 6. Big data and privacy state of the art -- Chapter 7. Cardiovascular disease prediction using data mining techniques: a proposed framework using big data approach -- Chapter 8. Classification and machine learning -- Chapter 9. Clear and private ad hoc retrieval models on Web data -- Chapter 10. Spam filtering and detection: state of the art and overview -- Chapter 11. Security in wireless sensor networks: Sybil attack detection and prevention -- Chapter 12. Hybridization of biogeography-based optimization and gravitational search algorithm for efficient face recognition.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book focuses on new advancements of exploration, creation and development of metaheuristic algorithms in information retrieval models over big data environment and services. It presents how metaheuristics could affect in good or bad the results of different retrieval models and the impact of applying it in such complex and huge environment like big data"--Provided by publisher.
650 0 $a Big data. $3 571002
650 0 $a Metaheuristics. $3 665404
700 1 $a Bouarara, Hadj Ahmed, $d 1990- $e editor. $3 734533
700 1 $a Hamou, Reda Mohamed, $d 1967- $e editor. $3 733208
700 1 $a Rahmani, Amine, $d 1991- $e editor. $3 734534
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7338-8