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Applying Knowledge Management: Techniques for Building Corporate Memories (The Morgan Kaufmann Series in Artificial Intelligence)
 
 
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Applying Knowledge Management: Techniques for Building Corporate Memories (The Morgan Kaufmann Series in Artificial Intelligence) (Paperback)

by Ian Watson (Editor) "The function of knowledge management is to allow an organization to leverage its information resources and knowledge assets by remembering and applying experience..." (more)
Key Phrases: fuzzy preference functions, initial case base, colorant types, Western Air, General Electric, National Semiconductor (more...)
5.0 out of 5 stars See all reviews (2 customer reviews)

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Editorial Reviews

Review
“Applying Knowledge Management: Techniques for Building Corporate Memories is very readable and follows a logical order, sticking to the facts without burdening the reader with a lot of irrelevant detail. Most existing texts on artificial intelligence applications or knowledge management tend to deal with isolated examples of CBR applications. In contrast, this text has the virtue of dealing with CBR exclusively, and in doing so shows a diversity of problems addressable by the CBR approach. This book will really be read, and not just consigned to some dusty shelf after reading the first few pages.”
-Rick Magaldi, Senior Technical Consultant (Artificial Intelligence), British Airways

"This book is written in a clear and friendly style that presupposes no specialized technical knowledge. It is full of practical wisdom about what works, why it works, how to make it work, and what it looks like when it works. This would be a great book to give to every member of a knowledge-system development team.”
-Alexander P. Morgan, Principal Research Scientist, General Motors -- Review

Review
"Applying Knowledge Management: Techniques for Building Corporate Memories is very readable and follows a logical order, sticking to the facts without burdening the reader with a lot of irrelevant detail. Most existing texts on artificial intelligence applications or knowledge management tend to deal with isolated examples of CBR applications. In contrast, this text has the virtue of dealing with CBR exclusively, and in doing so shows a diversity of problems addressable by the CBR approach. This book will really be read, and not just consigned to some dusty shelf after reading the first few pages."
-Rick Magaldi, Senior Technical Consultant (Artificial Intelligence), British Airways

"This book is written in a clear and friendly style that presupposes no specialized technical knowledge. It is full of practical wisdom about what works, why it works, how to make it work, and what it looks like when it works. This would be a great book to give to every member of a knowledge-system development team."
-Alexander P. Morgan, Principal Research Scientist, General Motors

See all Editorial Reviews

Product Details

  • Paperback: 250 pages
  • Publisher: Morgan Kaufmann; 1 edition (January 3, 2003)
  • Language: English
  • ISBN-10: 1558607609
  • ISBN-13: 978-1558607606
  • Product Dimensions: 8.9 x 6.9 x 0.7 inches
  • Shipping Weight: 1.3 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
  • Amazon.com Sales Rank: #1,088,442 in Books (See Bestsellers in Books)

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    #21 in  Books > Computers & Internet > Programming > Algorithms > Memory Management

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Customer Reviews

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Most Helpful Customer Reviews

 
2 of 2 people found the following review helpful:
5.0 out of 5 stars Useful KM Book, May 5, 2003
I work for major telco in Hong Kong and we've been applying KM for several years across the business. This book solves a problem I've had. When a new person joins our team or we go to a new business unit I am asked often to provide book to introduce KM. I've found this hard because so many are all theoory and management stuff. Our people want practical example thay can relate to. This book does that through set of case studies from a range of country and industry. The case studies are detailed in a technical way and let people see what a KM system looks like when implement.

Excellent, just the book I've been waiting for. We are now very keen to try CBR (case-based reasoning) on one of our next projects and this book gives lots of practical advice as well as telling us where to go for further information.

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1 of 1 people found the following review helpful:
5.0 out of 5 stars Very practical KM book, May 1, 2003
This book is excellent. If you're tired of reading KM books that just say "KM is good" and that you need to "empower knowledge workers" then this book is a very refreshing change. The book is easy to read (even though writen by an academic) and is centred around a set of case studies from companies you've actually heard of (Microsoft, General Electric, Deloitte Touche, etc.). The case studies really inspire confidence that you actually could implement a KM system and live to see the benefits. Ian Watson writes a couple of chapters at the front which introduce the main ideas behind KM from a technical viewpoint, not a mangerial view, and then you're off into the case studies.

All the case studies use a technique called case-based reasoning that I'd never heard of before. I was fascinated to come across a business intelligence technique I'd never seen mentioned before that actually seems so simple and usable (I've just read the author's previous book on CBR which is also very good).

The book gives you plenty of practical ideas of how to implement a successful CBR KM system and I've been able to pursuade my mangers to start a KM project. This book is currently doing the rounds at work and (almost) everyone loves it.

I've bought too many of these books before which have disapointed because either they are just full of management speak and guru-buzzwords or they are so techie you need a PhD to understand them. Basically this book is practical, sensible and above all useful.

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