IoT-based data quality and data preprocessing of multinational corporations |
| |
| Institution: | 1. Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, India;2. Department of ECE, Vardhaman College of Engineering, Shamshabad, Ranga Reddy District, Telangana, India;3. Department of CSE (Cyber Security), Institute of Aeronautical Engineering, Dundigal, Hyderabad, India;4. Department of MBA, Koneru Lakshmaiah Education Foundation, (KL Deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India;5. School of Electronics Engineering, VIT-AP University, Amaravathi, Andhra Pradesh, India;1. Department of Humanities and Social Sciences, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India;2. Department of Business Management, Velagapudi Ramakrishna Siddhartha Engineering College, Kanuru, Vijayawada, Andhra Pradesh, India;3. K.L Business School, Koneru Lakshmaiah Education Foundation (Deemed to be University), Greenfields, Vaddeswaram, Andhra Pradesh, India;4. Department of Computer Science Engineering, Rajarambapu Institute of Technology, Rajaramnagar, Sangli, Maharashtra, India;5. Professor, Department of Mathematics, Centurion University of Technology and Management, Paralakhemundi, Gajapati, Odisha, India;6. Senior Assistant Professor, School of Electronics Engineering, VIT-AP University, Amaravathi, Andhra Pradesh, India;1. Department of CSE(Networks), Kakatiya Institute of Technology and Science, Warangal, Telangana, India;2. Amity Institute of Information Technology, Amity University, Patna, India;1. Department of ECE, Institute of Aeronautical Engineering, Hyderabad, India;2. Department of AIML&IOT, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India;3. HOD CSE-AI&ML, Malla Reddy Engineering College for Women Autonomous, Hyderabad, India;4. Department of Mechanical Engineering, Yashoda Technical Campus, Satara, India;5. Department of Computer Science & Engineering, Lovely Professional University, Phagwara, India;6. Dept. of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., AP, India |
| |
| Abstract: | Increasing numbers of devices that output large amounts of geographically referenced data are being deployed as the Internet of Things (IoT) continues to expand. Partly as a result of the IoT's dynamic, decentralized, and heterogeneous architecture. These are all examples of the Internet of items (IoT), despite the fact that we might be thinking that one of these items is different from the others. The physical and digital worlds are connected by the Internet of Things (IoT). Nowadays, one of the key goals of the Internet is its own development. This paper provides an in-depth analysis of IoT-based data quality and data preparation strategies developed with multinational corporations in mind. The goal is to make IoT data more trustworthy and practical so that MNCs may use it to their advantage in making educated business decisions. The proposed structure consists of three distinct actions: gathering data, evaluating data quality, and cleaning up raw data. Data preprocessing research is essential since it decides and significantly affects the accuracy of predictions made in later stages. Thus, the recommendation for a special and useful combination in the framework of different data preprocessing task types, which includes the following four technical elements and is briefly justified, is made. The Internet of Things (IoT) is a design pattern in which commonplace items can be equipped with classification, sensing, networking, and processing capabilities that will enable them to communicate with one another over the Internet to fulfill a specific function. The Internet of Things will eventually change physical objects into virtual objects with intelligence. In addition to a detailed analysis of the IoT layer, this article gives an overview of the existing Internet of Things (IoT), technical specifics, and applications in this recently growing field. However, this publication will provide future scholars who desire to conduct study in this area of Internet of Things with a better knowledge. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
