Automatic Generation of Combinatorial Test Data, Jian Zhang; Zhiqiang Zhang; Feifei Ma
Автор: Ilias S. Kotsireas; Eugene V. Zima Название: Advances in Combinatorial Mathematics ISBN: 3642425046 ISBN-13(EAN): 9783642425042 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Second Waterloo Workshop on Computer Algebra was dedicated to the 70th birthday of combinatorics pioneer Georgy Egorychev. This book of formally-refereed papers submitted after that workshop covers topics closely related to Egorychev`s influential works.
Автор: Youssef Hamadi Название: Combinatorial Search: From Algorithms to Systems ISBN: 366251429X ISBN-13(EAN): 9783662514290 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details key techniques in constraint networks, dealing in particular with constraint satisfaction, search, satisfiability, and applications in machine learning and constraint programming. Includes case studies.
Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.
Автор: Wei-Tek Tsai; Guanqiu Qi Название: Combinatorial Testing in Cloud Computing ISBN: 9811044805 ISBN-13(EAN): 9789811044809 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on test algebra and fault location analysis, the proposed combinatorial testing method can support experiments with 250 components (with 2 * (250) combinations), and can detect the fault location based on the testing results.
Автор: Gyula Katona Название: Combinatorial Search Problems ISBN: 3211811699 ISBN-13(EAN): 9783211811696 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Frank Neumann; Carsten Witt Название: Bioinspired Computation in Combinatorial Optimization ISBN: 3642265847 ISBN-13(EAN): 9783642265846 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how runtime behavior can be analyzed in a rigorous way and for combinatorial optimization in particular. It presents well-known problems such as minimum spanning trees, shortest paths, maximum matching, and covering and scheduling problems.
Автор: Youssef Hamadi Название: Combinatorial Search: From Algorithms to Systems ISBN: 3642414818 ISBN-13(EAN): 9783642414817 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details key techniques in constraint networks, dealing in particular with constraint satisfaction, search, satisfiability, and applications in machine learning and constraint programming. Includes case studies.
Автор: Austin Parker; Gerardo I. Simari; Amy Sliva; V.S. Название: Data-driven Generation of Policies ISBN: 1493902733 ISBN-13(EAN): 9781493902736 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Springer Brief presents a basic algorithm that provides a correct solution to finding an optimal state change attempt, as well as an enhanced algorithm that is built on top of the well-known trie data structure.
Автор: Mourad Elloumi Название: Algorithms for Next-Generation Sequencing Data ISBN: 3319598244 ISBN-13(EAN): 9783319598246 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage;
Автор: Fatos Xhafa; Leonard Barolli; Admir Barolli; Petra Название: Modeling and Processing for Next-Generation Big-Data Technologies ISBN: 3319385003 ISBN-13(EAN): 9783319385006 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics.
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.
Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people's imaginations as to what a fully connected world can offer.
Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.
The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
Автор: Narinder Singh Название: An Artificial Intelligence Approach to Test Generation ISBN: 1461291836 ISBN-13(EAN): 9781461291831 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: I am indebted to my thesis advisor, Michael Genesereth, for his guidance, inspiration, and support which has made this research possible. This research was supported by Schlumberger Palo Alto Research (previously Fairchild Laboratory for Artificial Intelligence).
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