高雄醫學大學圖書館 |

語系/ Language: 繁體中文

登入

回首頁

Deep learning innovations and their convergence with big data

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deep learning innovations and their convergence with big data/ S. Karthik, Anand Paul, and N. Karthikeyan, editors.
其他作者:	Karthik, S.,
出版者:	Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:	1 online resource (xxii, 265 p.)
提要註:	"This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"--
標題:	Machine learning - Technological innovations. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2
ISBN:	9781522530169 (ebook)

Deep learning innovations and their convergence with big data
Deep learning innovations and their convergence with big data[electronic resource] /S. Karthik, Anand Paul, and N. Karthikeyan, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxii, 265 p.)

Includes bibliographical references and index.

Chapter 1. Advanced threat detection based on big data technologies -- Chapter 2. A brief review on deep learning and types of implementation for deep learning -- Chapter 3. Big spectrum data and deep learning techniques for cognitive wireless networks -- Chapter 4. Efficiently processing big data in real-time employing deep learning algorithm -- Chapter 5. Digital investigation of cybercrimes based on big data analytics using deep learning -- Chapter 6. Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques -- Chapter 7. Big data deep analytics for geosocial networks -- Chapter 8. Data science: recent developments and future insights -- Chapter 9. Data science and computational biology -- Chapter 10. After cloud: in hypothetical world -- Chapter 11. Cloud-based big data analytics in smart educational system.

Restricted to subscribers or individual electronic text purchasers.

"This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"--

ISBN: 9781522530169 (ebook)Subjects--Topical Terms:

433498
Machine learning
--Technological innovations.

LC Class. No.: Q325.5 / .D44 2018e

Dewey Class. No.: 006.3/1

Deep learning innovations and their convergence with big data
LDR:02221nam a2200277 a 4500 001 314495
003 IGIG
005 20181028113855.0
006 m o d
007 cr cn
008 181108s2018 pau fob 001 0 eng d
010 $z 2017011947
020 $a 9781522530169 (ebook)
020 $a 9781522530152 (hardcover)
035 $a (OCoLC)988698333
035 $a 1071025283
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a Q325.5 $b .D44 2018e
082 0 4 $a 006.3/1 $2 23
245 0 0 $a Deep learning innovations and their convergence with big data $h [electronic resource] / $c S. Karthik, Anand Paul, and N. Karthikeyan, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xxii, 265 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Advanced threat detection based on big data technologies -- Chapter 2. A brief review on deep learning and types of implementation for deep learning -- Chapter 3. Big spectrum data and deep learning techniques for cognitive wireless networks -- Chapter 4. Efficiently processing big data in real-time employing deep learning algorithm -- Chapter 5. Digital investigation of cybercrimes based on big data analytics using deep learning -- Chapter 6. Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques -- Chapter 7. Big data deep analytics for geosocial networks -- Chapter 8. Data science: recent developments and future insights -- Chapter 9. Data science and computational biology -- Chapter 10. After cloud: in hypothetical world -- Chapter 11. Cloud-based big data analytics in smart educational system.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"-- $c Provided by publisher.
650 0 $a Machine learning $x Technological innovations. $3 433498
650 0 $a Big data. $3 387512
700 1 $a Karthik, S., $d 1977- $e editor. $3 433495
700 1 $a Paul, Anand, $e editor. $3 433496
700 1 $a Karthikeyan, N., $d 1977- $e editor. $3 433497
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3015-2

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得，請勿在此評論區張貼涉及人身攻擊、情緒謾罵、或內容涉及非法的不當言論，館方有權利刪除任何違反評論規則之發言，情節嚴重者一律停權，以維護所有讀者的自由言論空間。

Export

取書館別