KNN based Machine Learning Approach for Text and Document Mining

Vishwanath Bijalwan, Vinay Kumar, Pinki Kumari, Jordan Pascual
2014 International Journal of Database Theory and Application  
Text Categorization (TC), also known as Text Classification, is the task of automatically classifying a set of text documents into different categories from a predefined set. If a document belongs to exactly one of the categories, it is a single-label classification task; otherwise, it is a multi-label classification task. TC uses several tools from Information Retrieval (IR) and Machine Learning (ML) and has received much attention in the last years from both researchers in the academia and
more » ... ustry developers. In this paper, we first categorize the documents using KNN based machine learning approach and then return the most relevant documents. . He is person with lot of potential. His research interest is wireless sensor network, WiMax, Wi-Fi, machine learning, Informtion Retrieval. He obtained B.Tech. and M.Tech from DIT Dehradun. So far he has published 4 high quality researches paper and work on many MHRD funded project. He is carrying 5year of research experience. Vinay Kumar is currently working as an assistant professor, GLA University Mathura, India. He received his M.Tech from GLA University Mathura, India and his B.Tech from GLA-ITM Mathura, India. He has more than 5 years of research and teaching experience. He supervised 5 PG and 21 UG students. He has 2 research papers in reputed international journal and conference.
doi:10.14257/ijdta.2014.7.1.06 fatcat:pqpgqlmmdvazbf2xeobyckuzly