語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Situation recognition using EventShop
~
Jain, Ramesh.
Situation recognition using EventShop
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Situation recognition using EventShop/ by Vivek K. Singh, Ramesh Jain.
作者:
Singh, Vivek K.
其他作者:
Jain, Ramesh.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xvii, 140 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Pattern recognition systems. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-30537-0
ISBN:
9783319305370
Situation recognition using EventShop
Singh, Vivek K.
Situation recognition using EventShop
[electronic resource] /by Vivek K. Singh, Ramesh Jain. - Cham :Springer International Publishing :2016. - xvii, 140 p. :ill. (some col.), digital ;24 cm.
Introduction -- Understanding and Using Situations -- Related Work on Situation Recognition -- Overall Framework for Situation Recognition: Overview -- Situation Modeling -- Data Representation and Situation Recognition Operators -- EventShop: System Architecture -- Using EventShop -- Case Studies: Using EventShop for Creating Multiple Situation Recognition Applications -- Research Directions: Challenges and Opportunities.
This book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognition. It computationally defines the notion of situations as an abstraction of millions of data points into actionable insights, describes a computational framework to model and evaluate such situations and presents an open-source web-based system called EventShop to implement them without necessitating programming expertise. The book is useful for both practitioners and researchers working in the field of situation-aware computing. It acts as a primer for data-enthusiasts and information professionals interested in harnessing the value of heterogeneous big data for building diverse situation-based applications. It also can be used as a reference text by researchers working in areas as varied as database design, multimodel concept recognition, and middle-ware and ubiquitous computing to design and develop frameworks that allow users to create their own situation recognition frameworks.
ISBN: 9783319305370
Standard No.: 10.1007/978-3-319-30537-0doiSubjects--Topical Terms:
557384
Pattern recognition systems.
LC Class. No.: TK7882.P3
Dewey Class. No.: 006.4
Situation recognition using EventShop
LDR
:02498nam a2200313 a 4500
001
864130
003
DE-He213
005
20161021104424.0
006
m d
007
cr nn 008maaau
008
170720s2016 gw s 0 eng d
020
$a
9783319305370
$q
(electronic bk.)
020
$a
9783319305356
$q
(paper)
024
7
$a
10.1007/978-3-319-30537-0
$2
doi
035
$a
978-3-319-30537-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.P3
072
7
$a
UG
$2
bicssc
072
7
$a
COM034000
$2
bisacsh
082
0 4
$a
006.4
$2
23
090
$a
TK7882.P3
$b
S617 2016
100
1
$a
Singh, Vivek K.
$3
1108770
245
1 0
$a
Situation recognition using EventShop
$h
[electronic resource] /
$c
by Vivek K. Singh, Ramesh Jain.
260
$a
Cham :
$c
2016.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xvii, 140 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
Introduction -- Understanding and Using Situations -- Related Work on Situation Recognition -- Overall Framework for Situation Recognition: Overview -- Situation Modeling -- Data Representation and Situation Recognition Operators -- EventShop: System Architecture -- Using EventShop -- Case Studies: Using EventShop for Creating Multiple Situation Recognition Applications -- Research Directions: Challenges and Opportunities.
520
$a
This book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognition. It computationally defines the notion of situations as an abstraction of millions of data points into actionable insights, describes a computational framework to model and evaluate such situations and presents an open-source web-based system called EventShop to implement them without necessitating programming expertise. The book is useful for both practitioners and researchers working in the field of situation-aware computing. It acts as a primer for data-enthusiasts and information professionals interested in harnessing the value of heterogeneous big data for building diverse situation-based applications. It also can be used as a reference text by researchers working in areas as varied as database design, multimodel concept recognition, and middle-ware and ubiquitous computing to design and develop frameworks that allow users to create their own situation recognition frameworks.
650
0
$a
Pattern recognition systems.
$3
557384
650
0
$a
Data mining.
$3
528622
650
1 4
$a
Computer Science.
$3
593922
650
2 4
$a
Multimedia Information Systems.
$3
669810
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
669793
700
1
$a
Jain, Ramesh.
$3
1108771
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-30537-0
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入