Information Science Reference Critical Approaches to Information Retrieval Research (Advances in Library and Information Science)

About the Author Muhammad Sarfraz is a professor in Kuwait University (Kuwait). He received his PhD from Brunel University (UK, 1990). He is Head of Research Committee in Information Science Department, Kuwait University. Professor Sarfraz has advised/supervised more than fifty students for their MSc and PhD theses. He is currently working on various projects related to academia and industry. His research interests, in general, are computer graphics, pattern recognition, computer vision, image processing, and soft computing. He has published more than 200 publications in the form of various books, book chapters, journal papers, and conference papers.Dr. Sarfraz is a member of various professional societies. He is a chair, co-chair, and member of the International Advisory Committees and Organizing Committees of various international conferences, symposiums, and workshops. He is the reviewer for many international journals, conferences, meetings, and workshops around the world. He is Editor/Guest Editor of various international conference proceedings, books, and journals. He has achieved various awards in education, research, and administrative services. Product Description Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange. Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.