Classification In Theory And Practice

Following on from the first edition of this book, the second edition fills the gap between more complex theoretical texts and those books with a purely practical approach. The book looks at major library classification schemes in use in Europe, UK and the USA, and includes practical exercises to demonstrate their application. Importantly, classifying electronic resources is also discussed. Classification in Theory and Practice aims to demystify a very complex subject, and to provide a sound theoretical underpinning, together with practical advice and development of practical skills. Chapters concentrate purely on classification rather than cataloguing and indexing, ensuring a more in-depth coverage of the topic. covers the latest Dewey Decimal Classification, 23rd edition provides practical advice on which schemes will be most suitable for different types of library collection covers classification of digital resources explores recent developments in digital resources and tagging

Advances in shape analysis impact a wide range of disciplines, from mathematics and engineering to medicine, archeology, and art. Anyone just entering the field, however, may find the few existing books on shape analysis too specific or advanced, and for students interested in the specific problem of shape recognition and characterization, traditional books on computer vision are too general. Shape Analysis and Classification: Theory and Practice offers an integrated and conceptual introduction to this dynamic field and its myriad applications. Beginning with the basic mathematical concepts, it deals with shape analysis, from image capture to pattern classification, and presents many of the most advanced and powerful techniques used in practice. The authors explore the relevant aspects of both shape characterization and recognition, and give special attention to practical issues, such as guidelines for implementation, validation, and assessment. Shape Analysis and Classification provides a rich resource for the computational characterization and classification of general shapes, from characters to biological entities. Both students and researchers can directly use its state-of-the-art concepts and techniques to solve their own problems involving the characterization and classification of visual shapes.

Over the last decade, there has been an unprecedented expansion of library education in India, especially in India's distance education sector. This situation calls for a further explanation of colon classification. The main purpose of this simplified and concise text is to help students understand the theory and practice of colon classification. With ample illustrations, this new edition - helpful to beginners as well as advanced students - expounds upon both the large and small rules of colon classification, as well as some of the more obscure rules.