Other Sellers on Amazon
+ $3.99 shipping
95% positive over last 12 months
Usually ships within 3 to 4 days.
& FREE Shipping
79% positive over last 12 months

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.
Read instantly on your browser with Kindle for Web.
Using your mobile phone camera - scan the code below and download the Kindle app.
Knowledge Management and Acquisition for Intelligent Systems: 15th Pacific Rim Knowledge Acquisition Workshop, PKAW 2018, Nanjing, China, August ... (Lecture Notes in Computer Science, 11016) 1st ed. 2018 Edition
Purchase options and add-ons
This book constitutes the proceedings of the 15th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2018, held in Nanjing, China, in August 2018.
The 15 full papers and 7 short papers included in this volume were carefully reviewed and selected from 51 initial submissions. They cover the methods and tools as well as the applications related to developing a knowledge base, healthcare, financial systems, and intelligent systems.
- ISBN-10331997288X
- ISBN-13978-3319972886
- Edition1st ed. 2018
- PublisherSpringer
- Publication dateJuly 27, 2018
- LanguageEnglish
- Dimensions6.1 x 0.67 x 9.25 inches
- Print length293 pages
Product details
- Publisher : Springer; 1st ed. 2018 edition (July 27, 2018)
- Language : English
- Paperback : 293 pages
- ISBN-10 : 331997288X
- ISBN-13 : 978-3319972886
- Item Weight : 14.8 ounces
- Dimensions : 6.1 x 0.67 x 9.25 inches
Important information
To report an issue with this product or seller, click here.
Customer reviews
5 star | 0% | |
4 star | 0% | |
3 star | 0% | |
2 star | 0% | |
1 star | 0% |
Customer Reviews, including Product Star Ratings help customers to learn more about the product and decide whether it is the right product for them.
To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzed reviews to verify trustworthiness.
Learn more how customers reviews work on Amazon