Uncertainty Modeling: Dedicated to Professor Boris Kovalerchuk on His Anniversary, Kreinovich Vladik
Автор: Kovalerchuk Название: Visual Knowledge Discovery and Machine Learning ISBN: 3319730398 ISBN-13(EAN): 9783319730394 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
Описание: This book presents a collection of papers on recent advances in problems concerning dynamics, optimal control and optimization.
Автор: Boris Kovalerchuk; Evgenii Vityaev Название: Data Mining in Finance ISBN: 1475773323 ISBN-13(EAN): 9781475773323 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining.
Автор: Boris Kovalerchuk Название: Visual Knowledge Discovery and Machine Learning ISBN: 3319892304 ISBN-13(EAN): 9783319892306 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
Описание: It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others.
Описание: Method of Resolving Functions in the Theory of Conflict - Controlled Processes.- Impact of Average-Dwell-Time Characterizations for Switched Nonlinear Systems on Complex Systems Control.- On the Problem of Optimization in Group Control.- Model Predictive Control for Discrete MIMO Linear Systems.- Krasovskii's Unification Method and the Stability Defect of Sets in a Game Problem of Approach on a Finite Time Interval.- Control of Stochastic Systems Based on the Predictive Models of Random Sequences.- Program iterations method and relaxation of a Pursuit-Evasion differential game.- Fuzzy Real-Time Multi-Objective Optimization of a Prosthesis Test Robot Control System.- Bio-inspired Optimization of Type-2 Fuzzy Controllers n Autonomous Mobile Robot Navigation.- A status quo biased multistage decision model for regional agricultural socioeconomic planning under fuzzy information.- Holonic Hybrid Supervised Control of Semi-continuous Radiopharmaceutical Production Processes.- Hybrid Control Structure and Reconfiguration Capabilities in Bionic Assembly System.- A flatness-based approach to the control of distributed parameter systems applied to load transportation with heavy ropes.- Toward A Secure IoT Architecture.- Formal Concept Analysis for Partner Selection in Collaborative Simulation Training.
We are very pleased to introduce the Book Version of our Special Issue in Molecules dedicated to the memory of the late Professor Dr. Charles D. Hufford. The issue has been a huge success, with 22 full-length peer-reviewed papers and a tribute by Professor Alice M. Clark. Authors, reviewers, and collaborators from many countries across the world have contributed to this endeavour, and we are truly grateful to all. This Special Issue is representative of the broad impact that "Charlie" had on the field of bioactive natural products.
This Special Issue comprises papers from Professor Hufford's former students, colleagues, and collaborators throughout the world who have utilized a wide array of state-of-the-art techniques to examine diverse natural sources to isolate and identify a variety of natural products with a wide spectrum of biological activities, including some new microbial transformations and insights into bioactive molecules. Many new bioactive compounds are described and reported here for the first time. Bioactivities reported include cytotoxicity, antimicrobial activity, anti-inflammatory activity, antileishmanial activity, antitrypanosomal activity, antimalarial activity, analgesic activity, and beneficial liver activities, just to name a few. This Special Issue will undoubtedly have a lasting impact on the field of bioactive natural products, as exemplified by the career of Dr. Hufford.
Lastly, without the timely and outstanding contributions from all of you, this Special Issue would not have been possible. We thank you all very much for your contributions and your time devoted to this Special Issue in memory of a special person. Finally, we express our gratitude and thanks to the journal Molecules and their excellent team of expert reviewers for giving us the support and opportunity to make this Special Issue a huge success
Guest Editors:
Dr. Muhammad Ilias
National Center for Natural Products Research, Research Institute of Pharmaceutical Sciences, School of Pharmacy, Thad Cochran Research Center, University of Mississippi, University, MS 38677, USA
Dr. Charles L. Cantrell
United States Department of Agriculture, Agricultural Research Services, Thad Cochran Research Center, University, MS 38677, USA
Описание: This Festschrift was published in honor of Hans L. advisor, Jan van Leeuwen. Chapter "Crossing Paths with Hans Bodlaender: A Personal View on Cross-Composition for Sparsification Lower Bounds" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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