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Mahalakshmi, V.
- Augmenting Efficiency of Recruitment Process using IRCF text mining Algorithm
Abstract Views :196 |
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Authors
V. Jayaraj
1,
V. Mahalakshmi
1
Affiliations
1 Department of Computer Science and Engineering, Bharathidasan University, Tiruchirappalli – 620024, Tamil Nadu, IN
1 Department of Computer Science and Engineering, Bharathidasan University, Tiruchirappalli – 620024, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 16 (2015), Pagination:Abstract
Background: A novel algorithm named Information Retrieval configuration file is proposed to extract useful information from a set of resumes during extraction where the information gained is relevant and efficient for business needs. Methods: Manual analysis of this unstructured textual data is impractical, so numerous text mining methods are being developed to automate the process of analyzing this unstructured data employs a new technique named Weighted Ranking method. Result: The efficiency of recruitment process is improved while retrieving the information from the unstructured data. Application: In firms to improves the scope of the recruitment process using text mining algorithm to mine the data.Keywords
Business Intelligence, Recruitment Process, Resume Mining, Text Mining- Performance and Analysis of Ground-Glass Pattern Detection in Lung Disease based on High-Resolution Computed Tomography
Abstract Views :214 |
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, VELTECH, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Department of Automobile Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi - 642003, Tamil Nadu, IN
1 Department of Electronics and Communication Engineering, VELTECH, Avadi, Chennai - 600062, Tamil Nadu, IN
2 Department of Automobile Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi - 642003, Tamil Nadu, IN