The 5th International Conference on Modern Management based on Big Data (MMBD2024)

Abstract: Recently, data analysis and its application have given a chance for various researchers to utilize it for decision making process. In this process, most of the researchers addressed the issue of data analysis, its representation as well as graphical structure visualization. Most of the time spent on understanding and categorization of the data in form of static, dynamic, complete, incomplete or uncertain due to its large veracity. Some time it may happen that the given data set is unstructured or semi-structured. Due to that, a problem arises in precise representation of these data and finding some useful information for knowledge processing tasks. Another problem arises with time complexity evaluation of the given research problem as basic. This talk will be focused on handling large and static data set for knowledge processing tasks. The glimpses will be given on unstructured data representation, its pre-processing and its graphical visualization using one of the algorithms. The step by step demonstration will be shown with an illustrative example. The analysis derived from the given data set is also discussed for decision making process. The comparative study of the obtained results will be also discussed. This talk will be helpful for those scholars who work in data analysis, data visualization, and knowledge processing tasks, decision making or other areas. In addition some useful information will be given for further extension of the research activities.
Keywords: Data Visualization, Knowledge processing data, Static Data, Decision Making

Biography: Dr. Prem Kumar Singh working as an Associate Professor at Department of Computer Science and Engineering, Gandhi Institute of Technology and Management (Deemed-to-be University)-Visakhapatnam, Andhra Pradesh-India. Prior to that, he worked as an Assistant Professor at Amity School of Engineering and Technology, Amity University-Noida. He holds a Post-Doc (CS) from the Faculty of Computer Science and Information Technology, University of Malaya-Kuala Lumpur. It was fully funded by Malaysian Government of Higher Education under the High Impact Research Lab, University of Malaya. He has completed a Ph.D. (CS) from School of Information Technology and Engineering, VIT University-Vellore which was also fully funded by NBHM, Govt. of India.
He has more than 10 years of vast experience in several dimensions of academic, research, administration and PhD guidance. His current research areas are complex data science, human cognition, graph analytics, knowledge discovery and representation tasks. In this regard, he has published more than 65 peer review research papers in several conferences and journals. He is known for his work on interval-valued, bipolar, three-way, m-polar and complex vague lattices. He served as editorial, organizer, session chair, and keynote speaker for more than 50 peer reviewed conferences and journals.