Business Intelligence Through Big Data Analytics, Data Mining and Machine Learning

被引:13
|
作者
Yafooz, Wael M. S. [1 ]
Abu Bakar, Zainab Binti [1 ]
Fahad, S. K. Ahammad [1 ]
Mithun, Ahamed. M. [1 ]
机构
[1] Al Madinah Int Univ, Fac Comp & Informat Technol, Kuala Lumpur, Malaysia
关键词
Data mining; Business intelligence; Unstructured data; Structured information; CHALLENGES;
D O I
10.1007/978-981-13-9364-8_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There is a huge amount of data creating during the fourth industry revaluation and the data are generating explosively by various fields of the Internet of Things (IoT). The organizations are producing and storing the huge amount of data into the data servers every moment. This data comes from social media, sensors, tracking, website, and online news articles. The Google, Facebook, Walmart, and Taobao are the most remarkable organizations are generating most of the data in the web servers. Data comes into three forms as structured (text/numeric), semi structured (audio, video, and image) and unstructured (XML and RSS feeds). A business makes revenue from the analysis of 20% of such data, which is a structured form while 80% of data is unstructured. Therefore, unstructured data contains valuable information that can help the organization to improve the business productive, better decision-making, extract the insights, new products and services and understand the market conditions in various fields such as shopping, finance, education, manufacturing, and healthcare. The unstructured data are needed to be analyzed and distribute in a structured manner, that is required information's are to be gathered through the data mining techniques are used to mining the data. In this paper, expose the importance of data analytics and data management for beneficial usage of business intelligence, big data, data mining and machine and data management. In addition, the different techniques that can be used to discover the knowledge and useful information from such data been analyzed. This can be beneficial for numerous users concern on text mining and convert complex data into meaningful information for researchers, analyst, data scientist, and business decision makers as well.
引用
收藏
页码:217 / 230
页数:14
相关论文
共 50 条
  • [1] Big Data Analytics for Business Intelligence
    Liang, Ting-Peng
    Guo, Xitong
    Shen, Kathy
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2018, 111 : 1 - 1
  • [2] Malware Analytics: Review of Data Mining, Machine Learning and Big Data Perspectives
    Poudyal, Subash
    Akhtar, Zahid
    Dasgupta, Dipankar
    Gupta, Kishor Datta
    [J]. 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019), 2019, : 649 - 656
  • [3] Big Data Analytics as a Service for Business Intelligence
    Sun, Zhaohao
    Zou, Huasheng
    Strang, Kenneth
    [J]. OPEN AND BIG DATA MANAGEMENT AND INNOVATION, I3E 2015, 2015, 9373 : 200 - 211
  • [4] Big Data Analytics and Business Intelligence in Industry
    Huang, Shih-Chia
    McIntosh, Suzanne
    Sobolevsky, Stanislav
    Hung, Patrick C. K.
    [J]. INFORMATION SYSTEMS FRONTIERS, 2017, 19 (06) : 1229 - 1232
  • [5] Big Data Analytics and Business Intelligence in Industry
    Shih-Chia Huang
    Suzanne McIntosh
    Stanislav Sobolevsky
    Patrick C. K. Hung
    [J]. Information Systems Frontiers, 2017, 19 : 1229 - 1232
  • [6] BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT
    Chen, Hsinchun
    Chiang, Roger H. L.
    Storey, Veda C.
    [J]. MIS QUARTERLY, 2012, 36 (04) : 1165 - 1188
  • [7] Introduction to the Business Analytics, Business Intelligence and Big Data Minitrack
    Winter, Robert
    Marjanovic, Olivera
    Wixom, Barbara H.
    [J]. PROCEEDINGS OF THE 46TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2013, : 3767 - 3767
  • [8] Business Intelligence using Data Mining Techniques and Business Analytics
    Mishra, Brojo Kishore
    Hazra, Deepannita
    Tarannum, Kahkashan
    Kumar, Manas
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON SYSTEM MODELING & ADVANCEMENT IN RESEARCH TRENDS (SMART-2016), 2016, : 84 - 89
  • [9] Artificial intelligence and big data analytics in mining geomechanics
    McGaughey, J.
    [J]. JOURNAL OF THE SOUTHERN AFRICAN INSTITUTE OF MINING AND METALLURGY, 2020, 120 (01) : 15 - 21
  • [10] Artificial Intelligence, Blockchain, Big Data Analytics, Machine Learning and Data Mining in Traditional CRM and Social CRM: A Critical Review
    Lampropoulos, Georgios
    Siakas, Kerstin
    Liana, Julio
    Reinhold, Olaf
    [J]. 2022 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT, 2022, : 504 - 510