A Managerial Framework for Intelligent Big Data Analytics

被引：0
|
作者：
Sun, Zhaohao [1 ]
Huo, Yanxia [2 ]
机构：
[1] PNG Univ Technol, Dept Business Studies, Private Mail Bag, Lae 411, Morobe, Papua N Guinea
[2] PNG Univ Technol, Teaching Learning Methods Unit, Private Mail Bag, Lae 411, Morobe, Papua N Guinea
来源：
PROCEEDINGS OF THE 2019 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND INFORMATION MANAGEMENT (ICSIM 2019) / 2019 2ND INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (ICBDSC 2019) | 2019年
关键词：
intelligent big data analytics; intelligent analytics; artificial intelligence; management analytics; MANAGEMENT;
D O I：
10.1145/3305160.3305211
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Intelligent big data analytics is an emerging paradigm for integrating big data, analytics, and artificial intelligence. The objective of this paper is to provide a managerial framework of intelligent big data analytics. More specifically, this paper proposes a managerial framework of intelligent big data analytics, which consists of intelligent big data analytics as a science, technology, system, service and management for improving business decision making. Then it elaborates intelligent big data analytics for management taking into account main managerial functions: planning, organising, leading and controlling. The proposed approach in this paper might facilitate the research and development of business analytics, big data analytics, business intelligence, artificial intelligence and data science.
引用
收藏
页码：152 / 156
页数：5
相关论文
共 50 条
  • [1] Intelligent analytics for big video data
    [J]. Multimedia Tools and Applications, 2020, 79 : 4637 - 4637
  • [2] Intelligent analytics for big video data
    Liu, Wu
    Ma, Huadong
    Ngo, Chong-Wah
    Liu, Wei
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (7-8) : 4637 - 4637
  • [3] An Intelligent Visual Big Data Analytics Framework for Supporting Interactive Exploration and Visualization of Big OLAP Cubes
    Ordonez, Carlos
    Chen, Zhibo
    Cuzzocrea, Alfredo
    Garcia-Garcia, Javier
    [J]. 2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020), 2020, : 421 - 427
  • [4] Intelligent technologies and applications for big data analytics
    You, Ilsun
    Ogiela, Marek R.
    Hwang, Myunggwon
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2015, 45 (08): : 1019 - 1021
  • [5] Big data analytics for intelligent online education
    Zhang, Rongbo
    Zhao, Weiyu
    Wang, Yixin
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (02) : 2815 - 2825
  • [6] Big Data Analytics and Intelligent Transportation Systems
    Montoya-Torres, Jairo R.
    Moreno, Sebastian
    Guerrero, William J.
    Mejia, Gonzalo
    [J]. IFAC PAPERSONLINE, 2021, 54 (02): : 216 - 220
  • [7] Intelligent Technologies and Applications for Big Data Analytics
    不详
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2013, 43 (06): : 731 - 732
  • [8] Predictive Analytics in Big Data & Intelligent Automation
    Nema, Rishab
    Tandon, Jahnvi
    Thakral, Abha
    [J]. PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON COMPUTATIONAL TECHNIQUES, ELECTRONICS AND MECHANICAL SYSTEMS (CTEMS), 2018, : 437 - 441
  • [9] A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics
    Rahman, Md Arafatur
    Rahim, Md Abdur
    Rahman, Md Mustafizur
    Moustafa, Nour
    Razzak, Imran
    Ahmad, Tanvir
    Patwary, Mohammad N.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (10) : 19727 - 19742
  • [10] Data-Less Big Data Analytics (Towards Intelligent Data Analytics Systems)
    Triantafillou, Peter
    [J]. 2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2018, : 1666 - 1667
12345