大葉大學圖書館 |

Web information systems engineering - WISE 2016[electronic resource] :17th International Conference, Shanghai, China, November 8-10, 2016 : proceedings.Part II /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	004.678
書名/作者:	Web information systems engineering - WISE 2016 : 17th International Conference, Shanghai, China, November 8-10, 2016 : proceedings./ edited by Wojciech Cellary ... [et al.].
其他題名:	WISE 2016
其他作者:	Cellary, Wojciech.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xxiii, 452 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Web services
標題:	Information storage and retrieval systems - Congresses.
標題:	Software engineering
標題:	Computer Science.
標題:	Information Systems Applications (incl. Internet)
標題:	Information Storage and Retrieval.
標題:	Database Management.
標題:	Computer Communication Networks.
標題:	Software Engineering.
標題:	Data Mining and Knowledge Discovery.
ISBN:	9783319487434
ISBN:	9783319487427
內容註:	Social Network Data Analysis -- Recommender Systems -- Topic Modeling -- Data Diversity -- Data Similarity -- Context-Aware Recommendation -- Prediction -- Big Data Processing -- Cloud Computing -- Event Detection -- Data Mining -- Sentiment Analysis -- Ranking in Social Networks -- Microblog Data Analysis -- Query Processing -- Spatial and Temporal Data -- Graph Theory -- Non-Traditional Environments -- and Special Session on Data Quality and Trust in Big Data.
摘要、提要註:	This two volume set LNCS 10041 and LNCS 10042 constitutes the proceedings of the 17th International Conference on Web Information Systems Engineering, WISE 2016, held in Shanghai, China, in November 2016. The 39 full papers and 31 short papers presented in these proceedings were carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event Detection; Data Mining; Sentiment Analysis; Ranking in Social Networks; Microblog Data Analysis; Query Processing; Spatial and Temporal Data; Graph Theory; Non-Traditional Environments; and Special Session on Data Quality and Trust in Big Data.
電子資源:	http://dx.doi.org/10.1007/978-3-319-48743-4

Web information systems engineering - WISE 2016[electronic resource] :17th International Conference, Shanghai, China, November 8-10, 2016 : proceedings.Part II /
Web information systems engineering - WISE 201617th International Conference, Shanghai, China, November 8-10, 2016 : proceedings.Part II /[electronic resource] :WISE 2016edited by Wojciech Cellary ... [et al.]. - Cham :Springer International Publishing :2016. - xxiii, 452 p. :ill., digital ;24 cm. - Lecture notes in computer science,100420302-9743 ;. - Lecture notes in computer science ;7103..

Social Network Data Analysis -- Recommender Systems -- Topic Modeling -- Data Diversity -- Data Similarity -- Context-Aware Recommendation -- Prediction -- Big Data Processing -- Cloud Computing -- Event Detection -- Data Mining -- Sentiment Analysis -- Ranking in Social Networks -- Microblog Data Analysis -- Query Processing -- Spatial and Temporal Data -- Graph Theory -- Non-Traditional Environments -- and Special Session on Data Quality and Trust in Big Data.

This two volume set LNCS 10041 and LNCS 10042 constitutes the proceedings of the 17th International Conference on Web Information Systems Engineering, WISE 2016, held in Shanghai, China, in November 2016. The 39 full papers and 31 short papers presented in these proceedings were carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event Detection; Data Mining; Sentiment Analysis; Ranking in Social Networks; Microblog Data Analysis; Query Processing; Spatial and Temporal Data; Graph Theory; Non-Traditional Environments; and Special Session on Data Quality and Trust in Big Data.

ISBN: 9783319487434

Standard No.: 10.1007/978-3-319-48743-4doiSubjects--Topical Terms:

219614
Web services

LC Class. No.: TK5105.88813

Dewey Class. No.: 004.678

Web information systems engineering - WISE 2016[electronic resource] :17th International Conference, Shanghai, China, November 8-10, 2016 : proceedings.Part II /
LDR:02451nam a2200349 a 4500 001 476473
003 DE-He213
005 20161101122750.0
006 m d
007 cr nn 008maaau
008 181208s2016 gw s 0 eng d
020 $a 9783319487434 $q (electronic bk.)
020 $a 9783319487427 $q (paper)
024 7 $a 10.1007/978-3-319-48743-4 $2 doi
035 $a 978-3-319-48743-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.88813
072 7 $a UNH $2 bicssc
072 7 $a UDBD $2 bicssc
072 7 $a COM032000 $2 bisacsh
082 0 4 $a 004.678 $2 23
090 $a TK5105.88813 $b .I61 2016
111 2 $a Clark Conference $d (2005 : $c Sterling and Francine Clark Art Institute) $3 347558
245 1 0 $a Web information systems engineering - WISE 2016 $h [electronic resource] : $b 17th International Conference, Shanghai, China, November 8-10, 2016 : proceedings. $n Part II / $c edited by Wojciech Cellary ... [et al.].
246 3 $a WISE 2016
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxiii, 452 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10042
505 0 $a Social Network Data Analysis -- Recommender Systems -- Topic Modeling -- Data Diversity -- Data Similarity -- Context-Aware Recommendation -- Prediction -- Big Data Processing -- Cloud Computing -- Event Detection -- Data Mining -- Sentiment Analysis -- Ranking in Social Networks -- Microblog Data Analysis -- Query Processing -- Spatial and Temporal Data -- Graph Theory -- Non-Traditional Environments -- and Special Session on Data Quality and Trust in Big Data.
520 $a This two volume set LNCS 10041 and LNCS 10042 constitutes the proceedings of the 17th International Conference on Web Information Systems Engineering, WISE 2016, held in Shanghai, China, in November 2016. The 39 full papers and 31 short papers presented in these proceedings were carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event Detection; Data Mining; Sentiment Analysis; Ranking in Social Networks; Microblog Data Analysis; Query Processing; Spatial and Temporal Data; Graph Theory; Non-Traditional Environments; and Special Session on Data Quality and Trust in Big Data.
650 0 $a Web services $3 219614
650 0 $a Information storage and retrieval systems $v Congresses. $3 490587
650 0 $a Software engineering $3 135422
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Information Systems Applications (incl. Internet) $3 463679
650 2 4 $a Information Storage and Retrieval. $3 464540
650 2 4 $a Database Management. $3 463966
650 2 4 $a Computer Communication Networks. $3 464535
650 2 4 $a Software Engineering. $3 464601
650 2 4 $a Data Mining and Knowledge Discovery. $3 464541
700 1 $a Cellary, Wojciech. $3 466960
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 7103. $3 466200
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-48743-4
950 $a Computer Science (Springer-11645)