eprintid: 14005 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/01/40/05 datestamp: 2023-11-10 03:28:34 lastmod: 2023-11-10 03:28:34 status_changed: 2023-11-10 01:52:30 type: article metadata_visibility: show creators_name: Uddin, V. creators_name: Rizvi, S.S.H. creators_name: Hashmani, M.A. creators_name: Jameel, S.M. creators_name: Ansari, T. title: A study of deterioration in classification models in real-time big data environment ispublished: pub keywords: Big data; Deterioration; Intelligent computing, Classification models; Complex characteristics; Current computing; Data environment; Industrial revolutions; On-line classification; Real time; Stream analytics, Classification (of information) note: cited By 1; Conference of 4th International Conference of Reliable Information and Communication Technology, IRICT 2019 ; Conference Date: 22 September 2019 Through 23 September 2019; Conference Code:235209 abstract: Big Data (BD) is participating in the current computing revolutions. Industries and organizations are utilizing their insights for Business Intelligence (BI). BD and Artificial Intelligence are one of the fundamental pillars of Industrial Revolution (IR) 4.0. IR 4.0 demands real time BD analytic for prediction and classification. Due to complex characteristics of BD (5 Vâ��s), BD analytics is considered a difficult task in offline mood. However, in real time or online mood, BD analytic become more challenging and requires Online Classification Models. In real time mood, the nature of input streams (input data) and target classes (output class) are dependent and non-identically distributed, which cause deterioration in OCM. Therefore, it is necessary to identify and mitigate the causes of this deterioration in OCM and improve OCM performance in RTBDE. This study investigates some fundamental causes of deterioration of Online Classification Models and discusses some possible mitigation approaches. This study also presents some experimental results to show the deterioration in OCM due to real time big data environment. In the future, this study will propose a method to mitigate deterioration in Online Classification Models. © Springer Nature Switzerland AG 2020. date: 2020 publisher: Springer official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077778300&doi=10.1007%2f978-3-030-33582-3_8&partnerID=40&md5=b3ee9f1524345bf484570abeb2fddb48 id_number: 10.1007/978-3-030-33582-3₈ full_text_status: none publication: Advances in Intelligent Systems and Computing volume: 1073 pagerange: 79-87 refereed: TRUE isbn: 9783030335816 issn: 21945357 citation: Uddin, V. and Rizvi, S.S.H. and Hashmani, M.A. and Jameel, S.M. and Ansari, T. (2020) A study of deterioration in classification models in real-time big data environment. Advances in Intelligent Systems and Computing, 1073. pp. 79-87. ISSN 21945357