Big Data Analytics as Game Changer in Dealing Impact of Climate Change in Malaysia: Present and Future Research

被引：0

作者：

Abdullah, Mohammad Fikry ^{[1
,2
]}

Amin, Mohd Zaki Mat ^{[2
]}

Zainol, Zurina ^{[2
]}

Ideris, Marini Mohamad ^{[2
]}

机构：

[1] Univ Leeds, Leeds Univ Business Sch, Leeds, W Yorkshire, England

[2] Natl Hydraul Res Inst Malaysia NAHRIM, Selangor, Malaysia

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, BIG DATA AND SECURITY (IOTBDS) | 2020年

关键词：

Big Data Analytics; Analytical Capabilities; Decision Making; Climate Change; CRITERIA DECISION-MAKING; INFORMATION; LOCATIONS; FRAMEWORK; SYSTEMS; ENERGY; MCDM;

D O I：

10.5220/0009794404610469

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data has become a vital and vigorous resource to support the organisation in a data-driven decision-making environment. The emergence of digital transformation has revolutionised data utilisation and management ecosystem, which translated and upscaled the value of data to become a new asset in the organisation. Realisation on the importance of data, Big Data Analytics (BDA) in organisations is part of initiatives to harvest and maximise the potential use of data through data analytics capabilities. N-HyDAA development has encapsulated BDA through integration and analytics of data, information, knowledge and expertise from the expert group in dealing with issues related to the impact of climate change such as water-related disaster and water resources management. Based on N-HyDAA capabilities, there are more potentials and opportunities in the new research area to explore for better cohesion in supporting decision-making.

引用

页码：461 / 469

页数：9

共 53 条

[11]

BAHRAMI Y, 2019, BIG DATA COGNITIVE C, V33

[12] An Integrated Framework to Evaluate Resilient-Sustainable Urban Drainage Management Plans Using a Combined-adaptive MCDM Technique [J].

Birgani, Yaser Tahmasebi ;

Yazdandoost, Farhad .

WATER RESOURCES MANAGEMENT, 2018, 32 (08) :2817-2835

[13] CRITICAL QUESTIONS FOR BIG DATA Provocations for a cultural, technological, and scholarly phenomenon [J].

Boyd, Danah ;

Crawford, Kate .

INFORMATION COMMUNICATION & SOCIETY, 2012, 15 (05) :662-679

[14]

Brown AmberMarty D. Matlock., 2011, REV WATER SCARCITY I

[15]

Buyukozkan G., 2018, 2 TUPLE COMBINED GRO, V11

[16] Future Mangrove Suitability Assessment of Andaman to strengthen sustainable development [J].

Chakraborty, Subha ;

Sahoo, Satiprasad ;

Majumdar, Debaleena ;

Saha, Swati ;

Roy, Souvanic .

JOURNAL OF CLEANER PRODUCTION, 2019, 234 :597-614

[17]

Chen C., 2015, University of Notre Dame Global Adaptation Index

[18] Development of fuzzy multi-criteria approach to prioritize locations of treated wastewater use considering climate change scenarios [J].

Chung, Eun-Sung ;

Kim, Yeonjoo .

JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2014, 146 :505-516

[19] Data, information and analytics as services [J].

Delen, Dursun ;

Demirkan, Haluk .

DECISION SUPPORT SYSTEMS, 2013, 55 (01) :359-363

[20]

Deloitte, 2019, BUILD YOUR DAT AN CA

← 1 2 3 4 5 6 →