title: IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis.
abstract: The current rapid growth of Internet of Things (IoT) in various commercial and non-commercial sectors has led to the deposition of large-scale IoT data, of which the time-critical analytic and clustering of knowledge granules represent highly thought-provoking application possibilities. The objective of the present work is to inspect the structural analysis and clustering of complex knowledge granules in an IoT big-data environment. In this work, we propose a knowledge granule analytic and clustering (KGAC) framework that explores and assembles knowledge granules from IoT big-data arrays for a business intelligence (BI) application. Our work implements neuro-fuzzy analytic architecture rather than a standard fuzzified approach to discover the complex knowledge granules. Furthermore, we implement an enhanced knowledge granule clustering (e-KGC) mechanism that is more elastic than previous techniques when assembling the tactical and explicit complex knowledge granules from IoT big-data arrays. The analysis and discussion presented here show that the proposed framework and mechanism can be implemented to extract knowledge granules from an IoT big-data array in such a way as to present knowledge of strategic value to executives and enable knowledge users to perform further BI actions.
authors.affiliation: Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, ROC.
authors.forename: Hsien-Tsung
authors.initials: HT
authors.lastname: Chang
authors.affiliation: Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, ROC.
authors.forename: Nilamadhab
authors.initials: N
authors.lastname: Mishra
authors.affiliation: Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, ROC.
authors.forename: Chung-Chih
authors.initials: CC
authors.lastname: Lin
mesh_terms: D001185:Artificial Intelligence / Q000639:trends*; D016000:Cluster Analysis; D003657:Decision Making; D006801:Humans; D016247:Information Storage and Retrieval / Q000639:trends*; D007256:Information Systems; D020407:Internet; D019359:Knowledge; D000069550:Machine Learning