Order Total (1 Item Items):
Shipping Destination:
9787308228497 (1 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (1)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition
- All Conditions
- New (1)
- Used (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (1)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (No further results match this refinement)
- Not Print on Demand (1)
Language (1)
Price
- Any Price
- Under US$ 25 (No further results match this refinement)
- US$ 25 to US$ 50 (No further results match this refinement)
- Over US$ 50
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Traffic Big Data: Theory and Methods (Second Edition)(Chinese Edition)
ISBN 10: 7308228495 ISBN 13: 9787308228497
Language: English
US$ 86.92
Convert currencyUS$ 18.00 shipping from China to U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: New. Paperback.Pub Date:2022-08 Pages:270 Language:Chinese Publisher:Zhejiang University Press In the process of processing traffic big data. facing the huge scale of traffic big data. traffic engineers and researchers are facing increasingly complex data. and traditional data analysis technology has various limitations in some aspects. These limitations are often caused by the multi-source. complexity. and urgency of big data itself. Without powerful tools. it will be difficult for us to effectiv.
