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Fuzzy Collaborative Forecasting and Clustering: Methodology, System...

by Chen, Tin-Chih Toly; Honda,... | PB | VeryGood
US $20.55
Condition:
Very Good
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ... Read moreabout condition
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eBay item number:145696355200
Last updated on Jun 26, 2024 21:30:36 PDTView all revisionsView all revisions

Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ...
Binding
Paperback
Weight
0 lbs
Product Group
Book
IsTextBook
No
ISBN
9783030225735
Subject Area
Computers, Technology & Engineering
Publication Name
Fuzzy Collaborative Forecasting and Clustering : Methodology, System Architecture, and Applications
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Subject
Engineering (General), Intelligence (Ai) & Semantics, Databases / Data Mining
Publication Year
2019
Series
Springerbriefs in Applied Sciences and Technology Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Tin-Chih Toly Chen, Katsuhiro Honda
Item Weight
16 Oz
Item Width
6.1 in
Number of Pages
IX, 89 Pages

About this product

Product Information

Fuzzy Collaborative Intelligence and Systems.- Linear Fuzzy Collaborative Forecasting Methods.- Nonlinear Fuzzy Collaborative Forecasting Methods.- Fuzzy Co-clustering.- Collaborative Framework for Fuzzy Co-clustering.- Three-mode Fuzzy Co-clustering.- Collaborative Framework for Three-mode Fuzzy Co-clustering.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030225739
ISBN-13
9783030225735
eBay Product ID (ePID)
13038619337

Product Key Features

Number of Pages
IX, 89 Pages
Language
English
Publication Name
Fuzzy Collaborative Forecasting and Clustering : Methodology, System Architecture, and Applications
Publication Year
2019
Subject
Engineering (General), Intelligence (Ai) & Semantics, Databases / Data Mining
Type
Textbook
Subject Area
Computers, Technology & Engineering
Author
Tin-Chih Toly Chen, Katsuhiro Honda
Series
Springerbriefs in Applied Sciences and Technology Ser.
Format
Trade Paperback

Dimensions

Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Reviews
"This slim book by Chen and Honda provides readers with new developments in collaborative forecasting and clustering through techniques based on fuzzy logic. ... The book and included research results are highly specialized. However, as it is organized in a coherent way, it is inspiring for further research on the topic. .... the book is recommended for researchers in collaborative ML who want a quick look at collaboration mechanisms via special prediction and clustering techniques based on fuzzy logic." (Corrado Mencar,Computing Reviews, June 14, 2021), "This slim book by Chen and Honda provides readers with new developments in collaborative forecasting and clustering through techniques based on fuzzy logic. ... The book and included research results are highly specialized. However, as it is organized in a coherent way, it is inspiring for further research on the topic. .... the book is recommended for researchers in collaborative ML who want a quick look at collaboration mechanisms via special prediction and clustering techniques based on fuzzy logic." (Corrado Mencar, Computing Reviews, June 14, 2021)
Number of Volumes
1 Vol.
Illustrated
Yes
Lc Classification Number
Q342
Table of Content
Fuzzy Collaborative Intelligence and Systems.- Linear Fuzzy Collaborative Forecasting Methods.- Nonlinear Fuzzy Collaborative Forecasting Methods.- Fuzzy Co-clustering.- Collaborative Framework for Fuzzy Co-clustering.- Three-mode Fuzzy Co-clustering.- Collaborative Framework for Three-mode Fuzzy Co-clustering.
Copyright Date
2020

Item description from the seller

ThriftBooks

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