語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Big data and social media analytics ...
~
Cakirtas, Mehmet.
FindBook
Google Book
Amazon
博客來
Big data and social media analytics = trending applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Big data and social media analytics/ edited by Mehmet Cakirtas, Mehmet Kemal Ozdemir.
其他題名:
trending applications /
其他作者:
Cakirtas, Mehmet.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
vi, 245 p. :ill., digital ;24 cm.
內容註:
Chapter 1. Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis -- Chapter 2. Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- Chapter 3. Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- Chapter 4. Safe Travelling Period Recommendation to High Attack Risk European Destinations based on Past Attack Information -- Chapter 5. Analyzing Cyber Influence Campaigns on YouTube using YouTubeTracker -- Chapter 6. Blog Data Analytics Using Blogtrackers -- Chapter 7. Using Social Media Surveillance in order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- Chapter 8. Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- Chapter 9. Efficient and Flexible Compression of Very Sparse Networks of Big Data -- Chapter 10. Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- Chapter 11. Analysis of Link Prediction Algorithms in Hashtag Graphs.
Contained By:
Springer Nature eBook
標題:
Big data. -
電子資源:
https://doi.org/10.1007/978-3-030-67044-3
ISBN:
9783030670443
Big data and social media analytics = trending applications /
Big data and social media analytics
trending applications /[electronic resource] :edited by Mehmet Cakirtas, Mehmet Kemal Ozdemir. - Cham :Springer International Publishing :2021. - vi, 245 p. :ill., digital ;24 cm. - Lecture notes in social networks,2190-5428. - Lecture notes in social networks..
Chapter 1. Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis -- Chapter 2. Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- Chapter 3. Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- Chapter 4. Safe Travelling Period Recommendation to High Attack Risk European Destinations based on Past Attack Information -- Chapter 5. Analyzing Cyber Influence Campaigns on YouTube using YouTubeTracker -- Chapter 6. Blog Data Analytics Using Blogtrackers -- Chapter 7. Using Social Media Surveillance in order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- Chapter 8. Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- Chapter 9. Efficient and Flexible Compression of Very Sparse Networks of Big Data -- Chapter 10. Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- Chapter 11. Analysis of Link Prediction Algorithms in Hashtag Graphs.
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.
ISBN: 9783030670443
Standard No.: 10.1007/978-3-030-67044-3doiSubjects--Topical Terms:
2045508
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Big data and social media analytics = trending applications /
LDR
:03020nmm a2200337 a 4500
001
2244868
003
DE-He213
005
20210708074813.0
006
m d
007
cr nn 008maaau
008
211207s2021 sz s 0 eng d
020
$a
9783030670443
$q
(electronic bk.)
020
$a
9783030670436
$q
(paper)
024
7
$a
10.1007/978-3-030-67044-3
$2
doi
035
$a
978-3-030-67044-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.B45
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
005.7
$2
23
090
$a
QA76.9.B45
$b
B592 2021
245
0 0
$a
Big data and social media analytics
$h
[electronic resource] :
$b
trending applications /
$c
edited by Mehmet Cakirtas, Mehmet Kemal Ozdemir.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
vi, 245 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in social networks,
$x
2190-5428
505
0
$a
Chapter 1. Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis -- Chapter 2. Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- Chapter 3. Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- Chapter 4. Safe Travelling Period Recommendation to High Attack Risk European Destinations based on Past Attack Information -- Chapter 5. Analyzing Cyber Influence Campaigns on YouTube using YouTubeTracker -- Chapter 6. Blog Data Analytics Using Blogtrackers -- Chapter 7. Using Social Media Surveillance in order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- Chapter 8. Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- Chapter 9. Efficient and Flexible Compression of Very Sparse Networks of Big Data -- Chapter 10. Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- Chapter 11. Analysis of Link Prediction Algorithms in Hashtag Graphs.
520
$a
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship network analysis, and blog data analytics. All these trending topics form a major part of the state of the art in social media and big data analytics. Thus, this edited book may be considered as a valuable source for readers interested in grasping some of the most recent advancements in this high trending domain.
650
0
$a
Big data.
$3
2045508
650
0
$a
Data mining.
$3
562972
650
0
$a
Online social networks.
$3
624374
650
1 4
$a
Statistics, general.
$3
896933
650
2 4
$a
Systems and Data Security.
$3
898223
650
2 4
$a
Game Theory, Economics, Social and Behav. Sciences.
$3
891103
700
1
$a
Cakirtas, Mehmet.
$3
3506176
700
1
$a
Ozdemir, Mehmet Kemal.
$3
1904218
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in social networks.
$3
2058983
856
4 0
$u
https://doi.org/10.1007/978-3-030-67044-3
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9405914
電子資源
11.線上閱覽_V
電子書
EB QA76.9.B45
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入