An Improved Fuzzy K-Nearest Neighbor Algorithm for Imbalanced Data using Adaptive Approach

ABSTRACT

Fuzzy classification is a widely explored research solution of objects in data sciences and engineering. With the span of time, it got new heights with significant improvements according to the needs. Still there are some issues to be discussed and solved in a fuzzy manner; fuzzy classification of imbalanced data is one of them. Consequently, the importance of fuzzy nearest neighbor came into the scenario and deployed in many applications. Various improved crisp nearest neighbor approaches are performing well on imbalanced data-sets, but not much work has done on the fuzzy nearest neighbor for imbalanced data. In this paper, we propose to find out correct memberships of test instances from imbalanced data by merging an adaptive K-nearest neighbor approach to deal with the imbalanced issue and then join it with fuzzy K-nearest neighbor.

KEYWORDS:

• Classification
• Fuzzy logic
• Imbalanced data-sets
• K-nearest neighbor

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Harshita Patel

Harshita Patel has received BSc degree from Rani Durgavati University, Jabalpur, Madhya Pradesh in 2005. She has received MCA degree in 2008 from Rajiv Gandhi Technical University, Bhopal, Madhya Pradesh. She has completed her PhD in 2017 from the Department of Computer Applications, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India. Her areas of research include Classification of Data and Applications of Fuzzy Logic in Classification.

Corresponding author. E-mail: [email protected]

G. S. Thakur

G. S. Thakur has received BSc degree from Dr Harisingh Gour University, Sagar, Madhya Pradesh in 2000. He has received MCA degree in 2003 from Pt. Ravi Shankar Shukla University, Raipur, Chattisgarh and PhD degree from Barkhatullah University, Bhopal, Madhya Pradesh in 2009. Currently, he is working as an assistant professor in the Department of Computer Applications, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India. He has many publications in peer-reviewed journals of international repute with good indexing like SCIE, SCOPUS, etc. His research interests include Text Mining, Document Clustering, Information Retrieval, and Data Warehousing. He is a member of the CSI, IAENG, and IACSIT.

E-mail: [email protected]