語系/ Language:
繁體中文
English
KMU OLIS
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Managing big data integration in the...
~
Aggarwal, Anil, (1949-)
Managing big data integration in the public sector
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Managing big data integration in the public sector/ Anil Aggarwal, editor.
其他作者:
Aggarwal, Anil,
面頁冊數:
PDFs (337 pages) :illustrations. :
提要註:
"This book is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere"--Provided by publisher.
標題:
Big data. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-9649-5
ISBN:
9781466696501
Managing big data integration in the public sector
Managing big data integration in the public sector
[electronic resource] /Anil Aggarwal, editor. - PDFs (337 pages) :illustrations.
Includes bibliographical references and index.
The interoperability of US federal government information: interoperability / Anne L. Washington -- A hybrid approach to big data systems development / Anil Aggarwal -- Transparency and enhanced efficiency and accountability due to big data adoption in government agencies and other enterprises / Dhiraj Jain, Yuvraj Sharma -- Big data and cloud interoperability / Ahmad Yusairi Bani Hashim -- How to engrain a big data mindset into our managers' DNA: insights from a big data initiative in a French business school / Kevin Daniel Andre Carillo -- Big data from management perspective / Alireza Bolhari -- Blending technology, human potential, and organizational reality: managing big data projects in public contexts / Jurgen Janssens -- On efficient acquisition and recovery methods for certain types of big data / George Avirappattu -- Application of big data in healthcare: opportunities, challenges and techniques / Md Rakibul Hoque, Yukun Bao -- Big data paradigm for healthcare sector / Jyotsna Talreja Wassan -- Towards an intelligent integrated approach for clinical decision support / Rajendra Akerkar -- Information processing for disaster communications / Yuko Murayama, Dai Nishioka, Nor Athiyah Binti Abdullah -- Big data and national cyber security intelligence / A. G. Rekha -- Big data models and the public sector / N. Nawin Sona -- Emerging role of big data in public sector / Amir Manzoor -- Opportunities and challenges of big data in public sector / Anil Aggarwal.
Restricted to subscribers or individual electronic text purchasers.
"This book is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere"--Provided by publisher.
Mode of access: World Wide Web.
ISBN: 9781466696501
Standard No.: 10.4018/978-1-4666-9649-5doiSubjects--Topical Terms:
387512
Big data.
LC Class. No.: QA76.9.B45 / M36 2016e
Dewey Class. No.: 005
Managing big data integration in the public sector
LDR
:03381nam a2200349 i 4500
001
299321
003
IGIG
005
19991014111750.0
006
m eo d
007
cr bn||||m|||a
008
161123s2016 paua fob 001 0 eng d
020
$a
9781466696501
$q
electronic
020
$z
9781466696495
$q
print
020
$z
1466696494
$q
print
024
7
$a
10.4018/978-1-4666-9649-5
$2
doi
035
$a
(CaBNVSL)gtp00564361
035
$a
(OCoLC)930041749
035
$a
00000119
040
$a
CaBNVSL
$b
eng
$c
CaBNVSL
$d
CaBNVSL
050
4
$a
QA76.9.B45
$b
M36 2016e
082
0 4
$a
005
$2
23
245
0 0
$a
Managing big data integration in the public sector
$h
[electronic resource] /
$c
Anil Aggarwal, editor.
264
$a
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) :
$b
IGI Global,
$c
[2016]
300
$a
PDFs (337 pages) :
$b
illustrations.
504
$a
Includes bibliographical references and index.
505
0
$a
The interoperability of US federal government information: interoperability / Anne L. Washington -- A hybrid approach to big data systems development / Anil Aggarwal -- Transparency and enhanced efficiency and accountability due to big data adoption in government agencies and other enterprises / Dhiraj Jain, Yuvraj Sharma -- Big data and cloud interoperability / Ahmad Yusairi Bani Hashim -- How to engrain a big data mindset into our managers' DNA: insights from a big data initiative in a French business school / Kevin Daniel Andre Carillo -- Big data from management perspective / Alireza Bolhari -- Blending technology, human potential, and organizational reality: managing big data projects in public contexts / Jurgen Janssens -- On efficient acquisition and recovery methods for certain types of big data / George Avirappattu -- Application of big data in healthcare: opportunities, challenges and techniques / Md Rakibul Hoque, Yukun Bao -- Big data paradigm for healthcare sector / Jyotsna Talreja Wassan -- Towards an intelligent integrated approach for clinical decision support / Rajendra Akerkar -- Information processing for disaster communications / Yuko Murayama, Dai Nishioka, Nor Athiyah Binti Abdullah -- Big data and national cyber security intelligence / A. G. Rekha -- Big data models and the public sector / N. Nawin Sona -- Emerging role of big data in public sector / Amir Manzoor -- Opportunities and challenges of big data in public sector / Anil Aggarwal.
506
$a
Restricted to subscribers or individual electronic text purchasers.
520
3
$a
"This book is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere"--Provided by publisher.
530
$a
Also available in print.
538
$a
Mode of access: World Wide Web.
588
$a
Description based on title screen (IGI Global, viewed 11/18/2015).
650
0
$a
Big data.
$3
387512
650
0
$2
96060
$a
Public administration.
$3
241291
650
0
$2
96060
$a
Data mining.
$3
255525
700
1
$a
Aggarwal, Anil,
$d
1949-
$e
editor.
$3
407845
710
2
$a
IGI Global,
$e
publisher.
$3
407735
776
0 8
$i
Print version:
$z
1466696494
$z
9781466696495
856
4 0
$u
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-9649-5
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
處理中
...
變更密碼
登入
請輸入帳號密碼
帳號(必備)
(請輸入學號/職號)
.
密碼
(請輸入學校電子郵件密碼)
.
本校和附屬機構教職員工生,可透過校務資訊系統【快速登入區】進行登入,不用再認證。
校內教職員工及學生
帳號:學號/職號;密碼:本校電子信箱密碼
附屬機構醫事人員、其他非編制內教職員工
帳號:職號;密碼:身份證號共10碼,英文字母大寫
校友及外校實習生
帳號:借書證上之條碼號;密碼:請點選忘記密碼重新設定
如有任何問題歡迎洽詢圖書館流通櫃台(分機2133*83;read@kmu.edu.tw),謝謝。
~請尊重智慧財產權,勿非法影印~
Login information for International Students: *Username: Student ID Password: KMU Email Password
If you have any question, please contact us. (Tel : 07-3121101#2133#83; Email: read@kmu.edu.tw)
~Please respect the Intellectual Property Rights, do not use illegal copies of textbooks ~
請在此電腦上記得個人資料
取消
忘記密碼? Forgot your password? (請注意!您必須已在系統登記E-mail信箱方能使用。且忘記密碼功能不適用校院內教職員及學生)