A Novel Approach for Inflation Analysis Using Hidden Markov Model
Inflation is a major issue to be considered for the development of any nation as well as having great influence on worldwide economy. In this paper, we present a novel approach to analyze inflation data of a given time using HMM. HMM is being used for several computational problems in real life applications. Although, HMM is not a perfect way to predict future events. Here we use HMM, that is trained on the past dataset. The trained HMM is used to search for behavioral data pattern from a given dataset. Output obtained using HMM are really inspiring and HMM offers a new paradigm for inflation analysis.
Keywords: HMM, Feature Selection, Financial Time series, Inflation.
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ABOUT THE AUTHORS
Bushra Hossain
Bushra Hossain has achieved Bachelor of Computer Science and Engineering from Military Institute of Science and Technology, Dhaka, Bangladesh, in 2010.Now working as a lecturer at Green University of Bangladesh in Computer Science & Engineering Department. Her research interests include Wireless Communication, Artificial Intelligence and Computational Mathematics.
Mohiuddin Ahmed
Mohiuddin Ahmed has achieved Bachelor of Computer Science & Information Technology from Islamic University of Technology, OIC. Now working as a lecturer at Green University of Bangladesh in Computer Science & Engineering Department. Research Interest includes Human-Computer Interaction, Cloud Computing, Artificial Intelligence, Wireless Network, Computational Mathematics.
Md. Fazle Rabbi
MD. Fazle Rabbi has achieved Bachelor of Computer Science and Engineering from Military Institute of Science and Technology, Dhaka, Bangladesh, in 2011. His research interests include Cryptography and Network security, Artificial Intelligence and Computational Mathematics.
Bushra Hossain
Bushra Hossain has achieved Bachelor of Computer Science and Engineering from Military Institute of Science and Technology, Dhaka, Bangladesh, in 2010.Now working as a lecturer at Green University of Bangladesh in Computer Science & Engineering Department. Her research interests include Wireless Communication, Artificial Intelligence and Computational Mathematics.
Mohiuddin Ahmed
Mohiuddin Ahmed has achieved Bachelor of Computer Science & Information Technology from Islamic University of Technology, OIC. Now working as a lecturer at Green University of Bangladesh in Computer Science & Engineering Department. Research Interest includes Human-Computer Interaction, Cloud Computing, Artificial Intelligence, Wireless Network, Computational Mathematics.
Md. Fazle Rabbi
MD. Fazle Rabbi has achieved Bachelor of Computer Science and Engineering from Military Institute of Science and Technology, Dhaka, Bangladesh, in 2011. His research interests include Cryptography and Network security, Artificial Intelligence and Computational Mathematics.
