Описание: This book discusses both the strengths and the limitations of the topics covered: (a) hyperspectral processes, (b) sensors, and (c) data analysis. Each chapter reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in study of vegetation and its numerous applications.
Автор: Andrade Название: Fundamentals of Stream Processing ISBN: 1107015545 ISBN-13(EAN): 9781107015548 Издательство: Cambridge Academ Рейтинг: Цена: 13781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book teaches fundamentals of the stream processing paradigm that addresses performance, scalability and usability challenges in extracting insights from massive amounts of live, streaming data. It presents core principles behind application design, system infrastructure and analytics, coupled with real-world examples for a comprehensive understanding of the stream processing area.
Автор: Werner Dubitzky; Martin Granzow; Daniel P. Berrar Название: Fundamentals of Data Mining in Genomics and Proteomics ISBN: 1441942912 ISBN-13(EAN): 9781441942913 Издательство: Springer Рейтинг: Цена: 14817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics.
Автор: Pfadenhauer Jцrg S., Klцtzli Frank A. Название: Global Vegetation: Fundamentals, Ecology and Distribution ISBN: 303049859X ISBN-13(EAN): 9783030498597 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Нет в наличии.
Описание: This up-to-date textbook of global vegetation ecology, which comprises the current state of knowledge, is long overdue and much-needed. It is a translation of the textbook “Vegetation der Erde” (Springer-Spektrum, Heidelberg). A short introductory chapter deals with the fundamentals of vegetation ecology that are of importance for the delimitation and characterization of the global vegetation presented in this book (chorology, evolution of plants, physiognomic and structural characteristics, phytodiversity and the human impact on it as well as general terminology concerning both plant growth forms and on vegetation structure types). In the following chapters the zonal and azonal vegetation from the tropics to the polar regions including high mountains is described and discussed. The main focus is on the characterization of interactions between the spatial location of plants and plant communities on the one hand and site conditions, historic and genetic processes, spatial and temporal patterns, ecophysiology and anthropogenic influences on the other hand. Additional information on specific topics is provided in 51 boxes.
Описание: This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. discusses techniques for indexing, image ranking, and image presentation, along with image database visualization methods;
Автор: Katharina Morik, Peter Marwedel Название: Fundamentals ISBN: 3110785935 ISBN-13(EAN): 9783110785937 Издательство: Walter de Gruyter Рейтинг: Цена: 21376.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering.
Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Several machine learning methods are inspected with respect to their resource requirements and how to enhance their scalability on diverse computing architectures ranging from embedded systems to large computing clusters.
Автор: Lars Eld?n Название: Matrix Methods in Data Mining and Pattern Recognition ISBN: 0898716268 ISBN-13(EAN): 9780898716269 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Поставка под заказ.
Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.
Автор: Peck Penny Название: Crash Course in Storytime Fundamentals ISBN: 1610697839 ISBN-13(EAN): 9781610697835 Издательство: Bloomsbury Цена: 6178.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This manual is a "one-stop shop" on how to present storytimes to suit different audiences including bilingual learners, special needs children, and those in a variety of settings such as Head Start, preschools, and day care situations.
Описание: Mentoring in academic libraries implies a belief in the future of library employees, systems, the profession, and the principles that libraries uphold. It signifies a commitment to the broader institution and to higher education's values of exploration, discovery, critical examination, and knowledge generation.Academic Library Mentoring: Fostering Growth and Renewal presents a cross-section of mentoring thought and practice in college and university libraries, including mentoring definitions, practice fundamentals, models, programme development, surveys, and analysis. Across three volumes, it explores library mentoring programmes and the lived experiences of library faculty, librarians, library staff members, graduate library and information science students, and library student employees.Volume 1, Fundamentals and Controversies, details effective mentoring skills and behaviors, mentoring models, dysfunctional mentoring relationships, conflicts of interest in mentoring, and, through a feminist lens, power differentials in mentoring. Chapters on diversity, equity, and inclusion call for library personnel to understand the exclusion some experience in the profession and to implement more inclusive mentoring practices.
Автор: John Sandstrom, Liz Miller Название: Fundamentals of Technical Services ISBN: 1555709664 ISBN-13(EAN): 9781555709662 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by librarians working and teaching on the front lines, this guide uses a functional, hands-on approach to lay out the basics of technical services, from acquiring new materials to making them available to library users. This volume is perfect for those just moving into the profession, as well as library staff in need of a brush up.
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