An Introduction to Knowledge Engineering Paperback - 2006
by Kendal, Simon
- Used
- Paperback
Standard delivery: 7 to 20 days
Details
- Title An Introduction to Knowledge Engineering
- Author Kendal, Simon
- Binding Paperback
- Edition INTERNATIONAL ED
- Pages 290
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2006
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 9546583
- ISBN 9781846284755 / 1846284759
- Weight 0.93 lbs (0.42 kg)
- Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
- Category Computers - General Information
- Library of Congress Catalogue Number 2006925857
- Dewey Decimal Code 006.332
About Anybook.com Lincolnshire, United Kingdom
Established in 1998 Anybook.com. has sold millions of scholastic books to university libraries, academics, students and reflective bibliophiles throughout the world. As the majority of our books are ex-library they are well bound, in good, clean condition and ideally suited for study and research. Our books cover a huge range of academic disciplines from Mathematics, Science and Philosophy to Art and Literature as well as many works in other European languages.
Based in central Lincoln, Anybook.com. sells exclusively online. We specialise in academic works. All our books are in good condition or better, unless otherwise described. All the books we have on sale are to hand in our warehouses in Lincoln. Photographs and additional information on request. Books out within 1 working day. We use reputable couriers at greatly discounted postage rates. As well as Visa and Mastercard, we also accept Switch, Discover and Solo. We also accept Paypal (www.paypal.com) payments. Other methods of payment are possible but please email us for details. Remember if you are unsatisfied in any way with any purchase, we will give you a complete and unconditional refund. E-mail us if you have any questions about the service we offer. Please be aware our prices and shipping costs do not include local import taxes which may need to be paid by the customer upon receipt.
Reader reviews for An Introduction to Knowledge Engineering
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
From the rear cover
Knowledge Engineering, as a discipline and a profession, has emerged from the practical application of decades of research into artificial intelligence and intelligent systems. In particular, knowledge engineering refers to the development of systems that use knowledge, rather than data, to solve many novel computing problems. This is achieved by the application of computing techniques, closely associated with human cognitive processes, for transforming data into knowledge.
An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field. Its simple yet comprehensive treatment of knowledge based systems will provide the reader with a substantial grounding in such technologies as:
-expert systems
-neural networks
-genetic algorithms
-case based reasoning systems
-data mining
-intelligent agents.
The text includes activities and self assessments that provide opportunities for the reader to reflect on and reinforce their understanding of the concepts as they progress.
The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as Knowledge Engineering, Artificial Intelligence, Intelligent systems, Cognitive Neuroscience, Robotics and Cybernetics.
In addition, it is expected that anyone interested or involved in sophisticated information system developments will find the book a valuable source of ideas and guidance.