computational intelligence big data (73 Ergebnisse)

Zustand: Fine. 489 pp., hardcover, previous owner's name neatly inked to the title page, else fine, 2015 edition. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Aufl. 2015. 235 mm x 155 mm. XIX, 265 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Adaptation, Learning and Optimization 19.

235 mm x 155 mm. XI, 444 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Studies in Big Data, Vol. 8. Sprache: Englisch.

Zustand: New.

viii, 303 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Zustand: New. pp. 546.

Hardcover. Zustand: Très bon. Edition 2019. Tome 1. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Edition 2019. Volume 1. Ammareal gives back up to 15% of this item's net price to charity organizations.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Softcover. Zustand: Very Good. 1. Auflage. Unread, cover with shelfwear or minor damages. Immediately dispatched from Germany.

Paperback. Zustand: Brand New. 137 pages. 9.00x6.00x0.25 inches. In Stock.

Paperback. Zustand: Brand New. 188 pages. 9.25x6.10x0.45 inches. In Stock.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Paperback. Zustand: Brand New. 546 pages. 9.21x6.14x1.14 inches. In Stock.

Gebundene Ausgabe. Zustand: Gut. Gebraucht - Gut - ungelesen, gut, Cover etwas beschädigt, mit leichten Mängeln an Schnitt oder Umschlag durch Lager- oder Transportschaden, als Mängelexemplar gekennzeichnet -The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference's most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.Springer Fachmedien Wiesbaden GmbH, Abraham-Lincoln-Str. 46, 65189 Wiesbaden 189 pp. Englisch.

Paperback. Zustand: Brand New. 378 pages. 10.00x7.00x0.71 inches. In Stock.

Zustand: New. Vijayan Sugumaran is a Professor of Management Information Systems in the department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. His research interests are in the areas of Software Product Lines, Domain Modeling,.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thesetransactions publish research in computer-based methods of computationalcollective intelligence (CCI) and their applications in a wide range of fieldssuch as the semantic Web, social networks, and multi-agent systems. TCCIstrives to cover new methodological, theoretical and practical aspects of CCIunderstood as the form of intelligence that emerges from the collaboration andcompetition of many individuals (artificial and/or natural). The application ofmultiple computational intelligence technologies, such as fuzzy systems,evolutionary computation, neural systems, consensus theory, etc., aims tosupport human and other collective intelligence and to create new forms of CCIin natural and/or artificial systems. This twenty-first issue contains 7 carefullyselected and revised contributions.

Taschenbuch. Zustand: Neu. Neuware -This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch.

Zustand: New. KlappentextAs sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analyti.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 312 | Sprache: Englisch | Produktart: Bücher | This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today¿s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Zustand: New. pp. 370.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

Taschenbuch. Zustand: Neu. Neuware - There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

Softcover. Zustand: Bon. Edition 2023. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Edition 2023. Ammareal gives back up to 15% of this item's net price to charity organizations.

Zustand: New. pp. 458.

Zustand: New.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 488 | Sprache: Englisch | Produktart: Bücher | This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers,regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.