Performance Evaluation Schemes of MLIR Systems - Fine Grained Quantification Measures

The aim of this book is to offer a set of application-independent fine grained quantification schemes, which will act as a generic model for evaluating the performance attributes of Multilingual Information Retrieval (MLIR) systems. This book describes the greater efforts that are taken to develop a set of Metrics under four different schemes for Evaluating the Performance of MLIR Systems. These proposed measurement schemes can play the decisive roles for developing qualitative designs to maintain the optimized performance in any MLIR system. The Experimental Results in this book are chosen such that, to assess the proposed metrics both empirically and statistically in order to validate their usefulness.

About the author

Dr. Sujatha Pothula is working as Assistant Professor in the Department of Computer Science, Pondicherry University, India. She completed her Ph.D., M.Tech, and B.Tech in Computer Science and Engineering, Pondicherry University, Puducherry, India. She has 8+ years of experience in Research and Teaching.

Product details

• Authors: R Baskaran, R. Baskaran, Dhavachelvan, P. Dhavachelvan, Pothul Sujatha, Pothula Sujatha
• Publisher: LAP Lambert Academic Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 19.07.2012
• EAN: 9783659182785
• ISBN: 978-3-659-18278-5
• No. of pages: 132
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Internet