A book of cataloging exercises for practicing the placing of Dewey Decimal numbers in library materials. In librarian's office.

The scheme called Dewey Decimal Classification was devised in 1876 by Melvil Dewey. Now it has an incredible history of 136 years of boundless success. This scheme is widely used in majority of libraries in about 150 countries. This is the result of continuous revision that the 23rd edition of DDC has been published in July 2011. No other classification scheme has published so many editions. Some welcome changes have been made in DDC 23. The present book is an attempt to explain with suitable examples, the salient provisions of DDC 23. The book is written in a simple and lucid language so that even the students do not face any difficulty. The examples in the book are explained in a step-by-step procedure. It is hoped that this book would be of great help and would be very useful to the library professionals at large, library classifiers, in general and library and information science students, in particular.

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

This combined text and workbook covers the theories and principles of DDC's 23rd edition and then offers immediate practice in putting the information to use. Plentiful, clear explanations, examples and practice exercises illustrate every aspect of DDC and help students master creating DDC numbers.