國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Social computing with artificial int...

Liang, Xun.

Social computing with artificial intelligence

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Social computing with artificial intelligenceby Xun Liang.
作者:	Liang, Xun.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xii, 289 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Online social networksData processing.
電子資源:	https://doi.org/10.1007/978-981-15-7760-4
ISBN:	9789811577604$q(electronic bk.)

Social computing with artificial intelligence
Liang, Xun.

Social computing with artificial intelligence[electronic resource] /by Xun Liang. - Singapore :Springer Singapore :2020. - xii, 289 p. :ill. (some col.), digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Data Collection -- Chapter 3. Data Processing Methodology -- Chapter 4. Supervised and Unsupervised Learning Models -- Chapter 5. State-of-the-Art Artificial Intelligence Algorithms -- Chapter 6. Social Network Data Mining and Knowledge Discovery -- Chapter 7. Social Network Structure Analysis and Online Community Discovery -- Chapter 8. Social Network Propagation Mechanism and Online User Behavior Analysis -- Chapter 9. Social Computing Application in Public Security and Emergency Management -- Chapter 10. Social Computing Application in Business Decision Support -- Chapter 11. Social Computing Application in Unsupervised Oracle Handwriting Recognition Based on Pic2Vec Image Content Mapping -- Chapter 12. Social Computing Application in Online Crowd Behavior and Psychology.

This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data processing to advanced social network computing. To broaden readers' understanding of the topics addressed, it includes extensive data and a large number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining, artificial intelligence algorithms in social computing, and several key applications of social computing application, and also discusses network propagation mechanisms and dynamic analysis, which provide useful insights into how information is disseminated in online social networks. This book is intended for readers with a basic knowledge of advanced mathematics and computer science.

ISBN: 9789811577604$q(electronic bk.)

Standard No.: 10.1007/978-981-15-7760-4doiSubjects--Topical Terms:

775311
Online social networks
--Data processing.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 006.754

Social computing with artificial intelligence
LDR:02602nmm a2200325 a 4500 001 585899
003 DE-He213
005 20200916105801.0
006 m d
007 cr nn 008maaau
008 210323s2020 si s 0 eng d
020 $a 9789811577604$q(electronic bk.)
020 $a 9789811577598$q(paper)
024 7 $a 10.1007/978-981-15-7760-4 $2 doi
035 $a 978-981-15-7760-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.A65
072 7 $a UB $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UB $2 thema
082 0 4 $a 006.754 $2 23
090 $a QA76.76.A65 $b L693 2020
100 1 $a Liang, Xun. $3 877163
245 1 0 $a Social computing with artificial intelligence $h [electronic resource] / $c by Xun Liang.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xii, 289 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 1. Introduction -- Chapter 2. Data Collection -- Chapter 3. Data Processing Methodology -- Chapter 4. Supervised and Unsupervised Learning Models -- Chapter 5. State-of-the-Art Artificial Intelligence Algorithms -- Chapter 6. Social Network Data Mining and Knowledge Discovery -- Chapter 7. Social Network Structure Analysis and Online Community Discovery -- Chapter 8. Social Network Propagation Mechanism and Online User Behavior Analysis -- Chapter 9. Social Computing Application in Public Security and Emergency Management -- Chapter 10. Social Computing Application in Business Decision Support -- Chapter 11. Social Computing Application in Unsupervised Oracle Handwriting Recognition Based on Pic2Vec Image Content Mapping -- Chapter 12. Social Computing Application in Online Crowd Behavior and Psychology.
520 $a This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data processing to advanced social network computing. To broaden readers' understanding of the topics addressed, it includes extensive data and a large number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining, artificial intelligence algorithms in social computing, and several key applications of social computing application, and also discusses network propagation mechanisms and dynamic analysis, which provide useful insights into how information is disseminated in online social networks. This book is intended for readers with a basic knowledge of advanced mathematics and computer science.
650 0 $a Online social networks $x Data processing. $3 775311
650 0 $a Artificial intelligence. $3 194058
650 0 $a Application software. $3 200645
650 0 $a Big data. $3 609582
650 0 $a Data mining. $3 184440
650 1 4 $a Computer Applications. $3 273760
650 2 4 $a Big Data. $3 760530
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-15-7760-4
950 $a Computer Science (SpringerNature-11645)