Modern Analytics Methodologies

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Modern Analytics Methodologies

Author : Michele Chambers
Publisher : Pearson Education
ISBN 13 : 0133498581
Total Pages : 272 pages
Book Rating : 4.1/5 (334 download)

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Book Synopsis Modern Analytics Methodologies by : Michele Chambers

Download or read book Modern Analytics Methodologies written by Michele Chambers and published by Pearson Education. This book was released on 2015 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many organizations now understand the gap between their current analytical capabilities and where they need to be. Far fewer organizations know how to overcome that gap, monetize analytics, and fully capitalize on Big Data. Modern Analytics Methodologies helps you customize a complete roadmap for implementing analytics that supports your strategy, aligns with your culture, and is unique for your organization. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. Writing for both professionals and students, they show how to: Leverage the convergence of macro trends ranging from "flattening" and "green" to Big Data and machine learning Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies

Modern Analytical Methodologies in Fat- and Water-Soluble Vitamins

Author : Won O. Song
Publisher : John Wiley & Sons
ISBN 13 : 0471179426
Total Pages : 500 pages
Book Rating : 4.4/5 (711 download)

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Book Synopsis Modern Analytical Methodologies in Fat- and Water-Soluble Vitamins by : Won O. Song

Download or read book Modern Analytical Methodologies in Fat- and Water-Soluble Vitamins written by Won O. Song and published by John Wiley & Sons. This book was released on 2000-03-27 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book provides modern and practical analytical methodologies for the assays in foods, pharmaceuticals and clinical samples. It covers the fat-soluble Vitamins: A, beta-carotene, D, E and K as well as the water soluble vitamins, C, folate, thiamin, biotin, pyridoxin and cyancobalims.

Data Analysis Methods in Physical Oceanography

Author : Richard E. Thomson
Publisher : Elsevier
ISBN 13 : 0080477003
Total Pages : 654 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Data Analysis Methods in Physical Oceanography by : Richard E. Thomson

Download or read book Data Analysis Methods in Physical Oceanography written by Richard E. Thomson and published by Elsevier. This book was released on 2001-04-03 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical tables. Twenty pages are devoted to references. Featuring:• An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.• A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.• 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998 "(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 "(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999

Modern Meta-Analysis

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3319558951
Total Pages : 317 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Modern Meta-Analysis by : Ton J. Cleophas

Download or read book Modern Meta-Analysis written by Ton J. Cleophas and published by Springer. This book was released on 2017-05-02 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This 26-chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research. The authors have published over twenty innovative meta-analyses from the turn of the century till now. This edition will review the current state of the art, and will use for that purpose the methodological aspects of the authors' own publications, in addition to other relevant methodological issues from the literature. Are there alternative works in the field? Yes, there are, particularly in the field of psychology. Psychologists have invented meta-analyses in 1970, and have continuously updated methodologies. Although very interesting, their work, just like the whole discipline of psychology, is rather explorative in nature, and so is their focus to meta-analysis. Then, there is the field of epidemiologists. Many of them are from the school of angry young men, who publish shocking news all the time, and JAMA and other publishers are happy to publish it. The reality is, of course, that things are usually not as bad as they seem. Finally, some textbooks, written by professional statisticians, tend to use software programs with miserable menu programs and requiring lots of syntax to be learnt. This is prohibitive to clinical and other health professionals. The current edition is the first textbook in the field of meta-analysis entirely written by two clinical scientists, and it consists of many data examples and step by step analyses, mostly from the authors' own clinical research.

Big Data Analytics Methods

Author : Peter Ghavami
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781530414833
Total Pages : 304 pages
Book Rating : 4.4/5 (148 download)

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Book Synopsis Big Data Analytics Methods by : Peter Ghavami

Download or read book Big Data Analytics Methods written by Peter Ghavami and published by Createspace Independent Publishing Platform. This book was released on 2016-03-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensemble of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods are covered. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. This book is ideal as a text book for a course or as a reference for data scientists, data engineers, data analysts, Business intelligence practitioners, and business managers. It covers 10 chapters that discuss natural language processing (NLP), data visualization, prediction, optimization, artificial intelligence, regression analysis, cox hazard model and many analytics use case examples with applications in healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services. Big Data Analytics Methods Is a must read for those who wish to gain confidence and knowledge about big data and advanced analytics techniques. Read this book and confidently speak, lead and guide others about machine learning, neural networks, NLP, deep learning, and over 100 other analytics techniques. This book is fun and easy to read. It starts with simple and broad explanation of methods and gradually introduces more technical terms and techniques layer by layer. It finally introduces the underlying mathematical terms for those who want a mathematical foundation of the analytics methods. This book is one of a kind as it provides state of the art in advanced data analytics methods with important best practices to ensure the reader's success in data analytics.

Advanced Analytics Methodologies

Author : Michele Chambers
Publisher : Pearson Education
ISBN 13 : 0133498603
Total Pages : 337 pages
Book Rating : 4.1/5 (334 download)

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Book Synopsis Advanced Analytics Methodologies by : Michele Chambers

Download or read book Advanced Analytics Methodologies written by Michele Chambers and published by Pearson Education. This book was released on 2015 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be. Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to: Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and many line-of-business executives.

Process Analytics

Author : Seyed-Mehdi-Reza Beheshti
Publisher : Springer
ISBN 13 : 331925037X
Total Pages : 194 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Process Analytics by : Seyed-Mehdi-Reza Beheshti

Download or read book Process Analytics written by Seyed-Mehdi-Reza Beheshti and published by Springer. This book was released on 2016-03-28 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics – including process data querying, analysis, matching and correlating process data and models – to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.

Big Data Analytics Methods

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1547401567
Total Pages : 254 pages
Book Rating : 4.5/5 (474 download)

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Book Synopsis Big Data Analytics Methods by : Peter Ghavami

Download or read book Big Data Analytics Methods written by Peter Ghavami and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-12-16 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

Modern Data Strategy

Author : Mike Fleckenstein
Publisher : Springer
ISBN 13 : 3319689932
Total Pages : 269 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Modern Data Strategy by : Mike Fleckenstein

Download or read book Modern Data Strategy written by Mike Fleckenstein and published by Springer. This book was released on 2018-02-12 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.

Modern Statistics with R

Author : Måns Thulin
Publisher :
ISBN 13 : 9781032497457
Total Pages : 0 pages
Book Rating : 4.4/5 (974 download)

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Book Synopsis Modern Statistics with R by : Måns Thulin

Download or read book Modern Statistics with R written by Måns Thulin and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations and multivariate techniques to explore datasets. Statistical inference - modern methods for testing hypotheses and computing confidence intervals. Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. Ethics in statistics - ethical issues and good statistical practice. R programming - writing code that is fast, readable, and (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book. In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at: www.modernstatisticswithr.com.

Analysis in Nutrition Research

Author : George Pounis
Publisher : Academic Press
ISBN 13 : 0128145579
Total Pages : 416 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Analysis in Nutrition Research by : George Pounis

Download or read book Analysis in Nutrition Research written by George Pounis and published by Academic Press. This book was released on 2018-10-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis in Nutrition Research: Principles of Statistical Methodology and Interpretation of the Results describes, in a comprehensive manner, the methodologies of quantitative analysis of data originating specifically from nutrition studies. The book summarizes various study designs in nutrition research, research hypotheses, the proper management of dietary data, and analytical methodologies, with a specific focus on how to interpret the results of any given study. In addition, it provides a comprehensive overview of the methodologies used in study design and the management and analysis of collected data, paying particular attention to all of the available, modern methodologies and techniques. Users will find an overview of the recent challenges and debates in the field of nutrition research that will define major research hypotheses for research in the next ten years. Nutrition scientists, researchers and undergraduate and postgraduate students will benefit from this thorough publication on the topic. - Provides a comprehensive presentation of the various study designs applied in nutrition research - Contains a parallel description of statistical methodologies used for each study design - Presents data management methodologies used specifically in nutrition research - Describes methodologies using both a theoretical and applied approach - Illustrates modern techniques in dietary pattern analysis - Summarizes current topics in the field of nutrition research that will define major research hypotheses for research in the next ten years

Analysis and Purification Methods in Combinatorial Chemistry

Author : Bing Yan
Publisher : John Wiley & Sons
ISBN 13 : 0471531995
Total Pages : 482 pages
Book Rating : 4.4/5 (715 download)

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Book Synopsis Analysis and Purification Methods in Combinatorial Chemistry by : Bing Yan

Download or read book Analysis and Purification Methods in Combinatorial Chemistry written by Bing Yan and published by John Wiley & Sons. This book was released on 2004-02-03 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality measurement, control, and improvement in combinatorial chemistry Combinatorial chemistry has developed rapidly in the past decade, with great advances made by scientists working on analysis and purification of a large number of compounds and the analysis of polymer-bound compounds. However, formidable challenges lie ahead of today's researcher. For example, high-throughput analysis and purification technologies must be further developed to ensure combinatorial libraries are "purifiable," and "drugable." To this end, Analysis and Purification Methods in Combinatorial Chemistry describes various analytical techniques and systems for the development, validation, quality control, purification, and physicochemical testing of combinatorial libraries. A new volume in Wiley's Chemical Analysis series, this text has four parts covering: * Various approaches to monitoring reactions on solid support and optimizing reactions for library synthesis * High-throughput analytical methods used to analyze the quality of libraries * High-throughput purification techniques * Analytical methods applied in post-synthesis and post-purification stages Drawing from the contributions of respected experts in combinatorial chemistry, this comprehensive book provides coverage of applications of Nuclear Magnetic Resonance (NMR), liquid chromatography/mass spectrometry (LC/MS), Fourier Transform Infrared (FTIR), micellar electrokinetic chromatography (MEKC) technologies, as well as other analytical techniques. This eminently useful volume is an essential addition to the library of students and researchers studying or working in analytical chemistry, combinatorial chemistry, medicinal chemistry, organic chemistry, biotechnology, biochemistry, or biophysics.

Communication and Smart Technologies

Author : Álvaro Rocha
Publisher : Springer Nature
ISBN 13 : 9811657920
Total Pages : 600 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Communication and Smart Technologies by : Álvaro Rocha

Download or read book Communication and Smart Technologies written by Álvaro Rocha and published by Springer Nature. This book was released on 2021-09-30 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2021), jointly organized by Universidad del Rosario (Bogotá, Colombia); the University of Vigo (Galicia, Spain); the University of Santiago de Compostela-Equipo de Investigaciones Políticas (Galicia, Spain); the University of A Coruña (Galicia, Spain); and the Information and Technology Management Association (ITMA), during September 2021. It covers recent advances in the field of digital communication and processes digital social media, software, big data, data mining, and intelligent systems.

Photothermal Spectroscopy Methods

Author : Stephen E. Bialkowski
Publisher : John Wiley & Sons
ISBN 13 : 1119279089
Total Pages : 509 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Photothermal Spectroscopy Methods by : Stephen E. Bialkowski

Download or read book Photothermal Spectroscopy Methods written by Stephen E. Bialkowski and published by John Wiley & Sons. This book was released on 2019-03-21 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers the advantages of using photothermal spectroscopy over conventional absorption spectroscopy, including facilitating extremely sensitive measurements and non-destructive analysis This unique guide to the application and theory of photothermal spectroscopy has been newly revised and updated to include new methods and applications and expands on applications to chemical analysis and material science. The book covers the subject from the ground up, lists all practical considerations needed to obtain accurate results, and provides a working knowledge of the various methods in use. Photothermal Spectroscopy Methods, Second Edition includes the latest methods of solid state and materials analysis, and describes new chemical analysis procedures and apparatuses in the analytical chemistry sections. It offers a detailed look at the optics, physical principles of heat transfer, and signal analysis. Information in the temperature change and optical elements in homogeneous samples and photothermal spectroscopy in homogeneous samples has been updated with a better description of diffraction effects and calculations. Chapters on analytical measurement and data processing and analytical applications are also updated and include new information on modern applications and photothermal microscopy. Finally, the Photothermal Spectroscopy of Heterogeneous Sample chapter has been expanded to incorporate new methods for materials analysis. New edition updates and expands on applications to chemical analysis and materials science, including new methods of solid state and materials analysis Includes new chemical analysis procedures and apparatuses Provides an unmatched resource that develops a consistent mathematical basis for signal description, consolidates previous theories, and provides invaluable insight into laser technology Photothermal Spectroscopy Methods, Second Edition will appeal to researchers from both academia and industry (graduate students, postdocs, research scientists, and professors) in the general field of analytical chemistry, optics, and materials science, and researchers and engineers at scientific instrument developers in fields related to photonics and spectroscopy.

Soil Analysis

Author : K. I. Peverill
Publisher : CSIRO PUBLISHING
ISBN 13 : 0643063765
Total Pages : 427 pages
Book Rating : 4.6/5 (43 download)

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Book Synopsis Soil Analysis by : K. I. Peverill

Download or read book Soil Analysis written by K. I. Peverill and published by CSIRO PUBLISHING. This book was released on 1999 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to soil tests for Australian soils and conditions.

Total-Reflection X-Ray Fluorescence Analysis and Related Methods

Author : Reinhold Klockenkämper
Publisher : John Wiley & Sons
ISBN 13 : 1118985877
Total Pages : 552 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Total-Reflection X-Ray Fluorescence Analysis and Related Methods by : Reinhold Klockenkämper

Download or read book Total-Reflection X-Ray Fluorescence Analysis and Related Methods written by Reinhold Klockenkämper and published by John Wiley & Sons. This book was released on 2014-12-10 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the uses of TXRF in micro- and trace analysis, and insurface- and near-surface-layer analysis • Pinpoints new applications of TRXF in different fieldsof biology, biomonitoring, material and life sciences, medicine,toxicology, forensics, art history, and archaeometry • Updated and detailed sections on sample preparationtaking into account nano- and picoliter techniques • Offers helpful tips on performing analyses, includingsample preparations, and spectra recording and interpretation • Includes some 700 references for further study

Data Analytics for Intelligent Transportation Systems

Author : Mashrur Chowdhury
Publisher : Elsevier
ISBN 13 : 0443138796
Total Pages : 572 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Data Analytics for Intelligent Transportation Systems by : Mashrur Chowdhury

Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2024-11-02 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics