Data Analysis and Optimization (eBook)

In Honor of Boris Mirkin's 80th Birthday
eBook Download: PDF
2023 | 1st ed. 2023
XXXV, 422 Seiten
Springer Nature Switzerland (Verlag)
978-3-031-31654-8 (ISBN)

Lese- und Medienproben

Data Analysis and Optimization -
Systemvoraussetzungen
181,89 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites-such as large gathering places-through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics.

The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means.

The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.



?Boris Goldengorin is the author and inventor of data correcting and tolerance based algorithms applied to many problems in operations research, supply chain management, quantitative logistics, industrial engineering, data and stock market analysis. Boris is the author of more than 100 articles published in leading international journals, including the Journal of Algebraic Combinatorics, Discrete Optimization, Journal of Combinatorial Optimization, Journal of Global Optimization, Operations Research, Management Science, European Journal of Operational Research, Journal of Operational Research Society, Mathematical and Computer Modelling, Computers & Operations Research, Computers & Industrial Engineering, Expert Systems with Applications, Journal of Heuristics, Optimization Methods & Software, Computational Management Science, and many others. Dr. Goldengorin has published four monographs, three textbooks and an editor of five books on mathematical programming, game theory, combinatorial optimization, network analysis algorithms, graph theory, and big data analysis.
He is an associate editor of Journal of Global Optimization, Journal of Combinatorial Optimization, SN Operations Research Forum and member of the Editorial Board of the Journal of Computational and Applied Mathematics of the National University. T. G. Shevchenko, Ukraine. 

Professor Sergei O. Kuznetsov graduated from the Faculty of Applied Mathematics and Control of the Moscow Institute for Physics and Technology in 1985. He obtained his Doctor of Science Degree in Theoretical Computer Science at the Computing Center of Russian Academy of Science. Since 2006 the Head of Department for Data Analysis and Artificial Intelligence, Head of the International Laboratory for Intelligent Systems and Structural Analysis and Academic Supervisor of the Data Science master program at National Research University Higher School of Economics (Moscow). His research interests are in the algorithms of data mining, knowledge discovery, and Formal Concept Analysis.

Erscheint lt. Verlag 23.9.2023
Reihe/Serie Springer Optimization and Its Applications
Springer Optimization and Its Applications
Zusatzinfo XXXV, 422 p. 1 illus.
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik
Wirtschaft Betriebswirtschaft / Management Planung / Organisation
Schlagworte Business Intelligence • consensus trees • Data Mining • predictability time series • super trees
ISBN-10 3-031-31654-1 / 3031316541
ISBN-13 978-3-031-31654-8 / 9783031316548
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 15,2 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
24,90