Описание: In this groundbreaking book, the particular importance of optimising the so-called "soft power" of construction organisations, is addressed. Things like organisational culture, responsible corporate behaviour, and building trust-based relationships with other stake-holders are seen as facets of a broader organisational capability, and the advantages of this strength are also explored.
Автор: Ghosh Название: Green Structures ISBN: 1498749631 ISBN-13(EAN): 9781498749633 Издательство: Taylor&Francis Рейтинг: Цена: 12326.00 р. 17609.00-30% Наличие на складе: Есть (2 шт.) Описание:
The world is beginning to feel the crunch of depleting conventional energy sources and these desperate times call for exploring newer vistas in terms of alternative sources of energy. The construction sector is expected to require a major overhaul involving strategic advancements in the utilization of green energy given the rapid urban growth. A number of policy initiatives to mainstream energy efficiency are in place in most countries that are expected to accelerate energy efficiency and sustainability in buildings. Streamlining the green building movement requires coordinated monitoring and intelligent control of a building's vital functions. This can be achieved through building management systems (BMS) involving the integration of structures, systems, services, and management. Green building movements should examine the potential of power generation from urban, municipal, and industrial wastes. Equitable distribution of water resources should be carefully planned--monsoon-dominated countries should adopt efficient rain-water harvesting measures to provide clean water to thirsty nations.
These overarching concepts are well woven into themed chapters in Green Structures: Energy Efficient Buildings. Easily comprehensible to undergraduates in civil, structural, and environmental engineering; graduate students and researchers; town planners; and architects worldwide, the content of this book not only comes from courses on energy efficient buildings taught by the authors, but also from new and original research. This definitive resource has an enduring appeal for all those concerned with green structures.
Автор: Abzalov, Marat Название: Applied Mining Geology ISBN: 3319818538 ISBN-13(EAN): 9783319818535 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides a detailed overview of the operational principles of modern mining geology, which are presented as a good mix of theory and practice, allowing use by a broad range of specialists, from students to lecturers and experienced geologists. The book includes comprehensive descriptions of mining geology techniques, including conventional methods and new approaches. The attributes presented in the book can be used as a reference and as a guide by mining industry specialists developing mining projects and for optimizing mining geology procedures.
Applications of the methods are explained using case studies and are facilitated by the computer scripts added to the book as Electronic Supplementary Material.
Автор: Kenneth D. Lawrence, Ronald K. Klimberg Название: Contemporary Perspectives in Data Mining ISBN: 1681230879 ISBN-13(EAN): 9781681230870 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7623.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques.
Автор: Marius-Christian Frunza Название: Data Mining and Crime Analysis in Financial Markets ISBN: 0128012218 ISBN-13(EAN): 9780128012215 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction to the Theories and Varieties of Modern Crime in Financial Markets explores statistical methods and data mining techniques that, if used correctly, can help with crime detection and prevention. The three sections of the book present the methods, techniques, and approaches for recognizing, analyzing, and ultimately detecting and preventing financial frauds, especially complex and sophisticated crimes that characterize modern financial markets.
The first two sections appeal to readers with technical backgrounds, describing data analysis and ways to manipulate markets and commit crimes. The third section gives life to the information through a series of interviews with bankers, regulators, lawyers, investigators, rogue traders, and others.
The book is sharply focused on analyzing the origin of a crime from an economic perspective, showing Big Data in action, noting both the pros and cons of this approach.
Автор: Kenneth D. Lawrence, Ronald K. Klimberg Название: Contemporary Perspectives in Data Mining ISBN: 1681230887 ISBN-13(EAN): 9781681230887 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14137.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques.
Описание: This book constitutes revised selected papers from the 5th Workshop on Mining Data for Financial Applications, MIDAS 2020, held in conjunction with ECML PKDD 2020, in Ghent, Belgium, in September 2020.*The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 15 submissions.
Описание: X Table of Contents Table of Contents XI XII Table of Contents Table of Contents XIII XIV Table of Contents Table of Contents XV XVI Table of Contents K.S.
Описание: In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic systems perform well on classifying the subjective or objective character of a document.
However, classifications obtained from polarity analysis remain inconclusive, due to the algorithms' inability to understand the subtleties of human language. Automatic Detection of Irony presents, in three stages, a supervised learning approach to predicting whether a tweet is ironic or not. The book begins by analyzing some everyday examples of irony and presenting a reference corpus.
It then develops an automatic irony detection model for French tweets that exploits semantic traits and extralinguistic context. Finally, it presents a study of portability in a multilingual framework (Italian, English, Arabic).
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Easton, Wild, Halsey, McAnally Название: Financial Accounting for MBAs, 8e ISBN: 1618533584 ISBN-13(EAN): 9781618533586 Издательство: Amazon Internet Цена: 48331.00 р. Наличие на складе: Невозможна поставка.
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