Blending big data analytics: review on challenges and a recent study

• Main Authors: Fairuz, Amalina, Targio Hashem, Ibrahim Abaker, Azizul, Zati, Fong, Ang Tan, Ahmad Firdaus, Zainal Abidin, Imran, M., Nor Badrul, Anuar
• Format: Article
• Language: English
• Published: IEEE 2020
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/27712/1/Blending%20Big%20Data%20Analytics%20Review%20on%20Challenges.pdf; http://umpir.ump.edu.my/id/eprint/27712/; https://doi.org/10.1109/ACCESS.2019.2923270; https://doi.org/10.1109/ACCESS.2019.2923270
• Institution: Universiti Malaysia Pahang

With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems, such as cyber security, marketing, healthcare, and fraud. To...