Limit search to available items
32000 results found. Sorted by relevance | date | title .
EBOOKS
Author Katoh, Naoki, editor.

Title Sublinear Computation Paradigm : Algorithmic Revolution in the Big Data Era

Imprint Springer Nature 2022
LOCATION CALL NO.
 Electronic Book
Collation 1 electronic resource (410 pages)
Series Open Access eBooks from OAPEN Library
Restrictions on Access Open Access star Unrestricted online access
Summary This open access book gives an overview of cutting-edge work on a new paradigm called the "sublinear computation paradigm," which was proposed in the large multiyear academic research project "Foundations of Innovative Algorithms for Big Data." That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as "fast," but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required. The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book. The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms.
Note Japan Science and Technology Agency
Terms Governing Use Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/
Language English
Subject Electronic resources.
Electronic books.
Constant-Time Algorithms
open access
polynomial time algorithms
Sublinear Algorithms
Sublinear Computation Paradigm
Alt Author Higashikawa, Yuya, editor.
Ito, Hiro, editor.
Nagao, Atsuki, editor.
Shibuya, Tetsuo, editor.
Sljoka, Adnan, editor.
Tanaka, Kazuyuki, editor.
Uno, Yushi, editor.
ISBN 978-981-16-4095-7
9789811640957
ISBN/ISSN 10.1007/978-981-16-4095-7