STOC '77: Proceedings of the Ninth Annual ACM Symposium on Theory of Computing PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download STOC '77: Proceedings of the Ninth Annual ACM Symposium on Theory of Computing PDF full book. Access full book title STOC '77: Proceedings of the Ninth Annual ACM Symposium on Theory of Computing by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Howard Karloff
Publisher: SIAM
ISBN: 9780898714104
Category : Mathematics
Languages : en
Pages : 726
Get Book Here
Book Description
This symposium is jointly sponsored by the ACM Special Interest Group on Algorithms and Computation Theory and the SIAM Activity Group on Discrete Mathematics.
Author:
Publisher:
ISBN:
Category : Computational complexity
Languages : en
Pages :
Get Book Here
Book Description
Author: John E. Hopcroft
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 318
Get Book Here
Book Description
Author: ACM SIGACT
Publisher:
ISBN:
Category :
Languages : en
Pages : 314
Get Book Here
Book Description
Author:
Publisher: Association for Computing Machinery (ACM)
ISBN:
Category : Computers
Languages : en
Pages : 772
Get Book Here
Book Description
Author: ACM Special Interest Group for Algorithms and Computation Theory
Publisher:
ISBN:
Category : Computational complexity
Languages : en
Pages : 740
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Ming Hua
Publisher: Springer Science & Business Media
ISBN: 1441993800
Category : Computers
Languages : en
Pages : 233
Get Book Here
Book Description
Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data.
Author:
Publisher:
ISBN:
Category : Computational complexity
Languages : en
Pages :
Get Book Here
Book Description
