Download or read book An Assessment of the Quality of Selected EIA Data Series written by Renee Miller and published by . This book was released on 1984 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Analyzing Neural Time Series Data written by Mike X Cohen and published by MIT Press. This book was released on 2014-01-17 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

Download or read book An Assessment of the Quality of Selected EIA Data Series written by and published by . This book was released on 1987 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book OPA Economic Data Series written by and published by . This book was released on 1936 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Assessment of the Quality of Selected EIA Data Series written by United States. Energy Information Administration. Office of Statistical Standards and published by . This book was released on 1991 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Data Analysis written by Deepak Gupta and published by John Wiley & Sons. This book was released on 2020-07-13 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Download or read book Data on the Web written by Serge Abiteboul and published by Morgan Kaufmann. This book was released on 2000 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data model. Queries. Types. Sysems. A syntax for data. XML.. Query languages. Query languages for XML. Interpretation and advanced features. Typing semistructured data. Query processing. The lore system. Strudel. Database products supporting XML. Bibliography. Index. About the authors.

Download or read book Solubility Data Series written by R.W. Cargill and published by Elsevier. This book was released on 2013-10-22 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume in the Solubility Data Series contains tabulated collections and critical evaluations of original data for the solubility of carbon monoxide in a variety of liquid solvents. The solvents include water, aqueous and non-aqueous salt solutions, a variety of hydrocarbons, a variety of oxygen-containing, halogen-containing, sulfur-containing, and nitrogen-containing organic compounds, and also some biological fluids with which carbon monoxide has an important interaction. The data were gathered from a search of the world's chemical literature through to the end of 1988, and make up a unique and valuable historical survey of the solubility of carbon monoxide. Their publication is timely in view of current concern about carbon monoxide as an atmospheric pollutant, and in view of the role which carbon monoxide is likely to play in the future, as chemical feedstocks may have to change in response to supply and demand patterns, and as alternative energy sources are developed, especially coal gasification technology. For all of these applications, and for numerous others, this volume of well documented and critically evaluated gas solubility data will be of tremendous benefit.

Download or read book Data Model Patterns A Metadata Map written by David C. Hay and published by Elsevier. This book was released on 2010-07-20 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers. A comprehensive work based on the Zachman Framework for information architecture—encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation) Provides a step-by-step description of model and is organized so that different readers can benefit from different parts Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) Presents many concepts that are not currently being addressed by such tools — and should be

Download or read book March of the Mini Beasts written by Ada Hopper and published by Simon and Schuster. This book was released on 2016-04-05 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Danger! Action! Trouble! Adventure! Introducing The DATA Set, a brand-new chapter book series for young readers. What would happen if your next-door neighbor were a mad scientist? Gabe, Laura, and Cesar live on a quiet cul-de-sac. They are the whiz kids of Newtonburg Elementary and each specializes in their own subject. In fact, everyone in town lovingly refers to them as the Data Set. However, their quiet days of learning take a sudden turn for the exciting when they meet Dr. Gustav Bunsen—a mad scientist who throws the kids into a wild spiral of adventures. When Dr. Bunsen’s latest invention, a growth ray, hits several tiny animal toys, the mini beasts don’t just grow, they come to life! The DATA Set love their new tiny pets…until they continue to grow. Now there’s an actual elephant in the room—not to mention a chimp, a giraffe, and a dinosaur. When the beasts wander off, it’s up to the DATA Set to track them down. But will they catch the mini beasts before they grow big enough to start trouble in town? With easy-to-read language and illustrations on almost every page, The DATA Set chapter books are perfect for beginning readers!

Download or read book Time Series Databases written by Ted Dunning and published by O'Reilly Media. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You'll explore the theory behind time series databases and learn practical methods for implementing them. Authors Ted Dunning and Ellen Friedman provide a detailed examination of open source tools such as OpenTSDB and new modifications that greatly speed up data ingestion. You'll learn: A variety of time series use cases The advantages of NoSQL databases for large-scale time series data NoSQL table design for high-performance time series databases The benefits and limitations of OpenTSDB How to access data in OpenTSDB using R, Go, and Ruby How time series databases contribute to practical machine learning projects How to handle the added complexity of geo-temporal data For advice on analyzing time series data, check out Practical Machine Learning: A New Look at Anomaly Detection, also from Ted Dunning and Ellen Friedman.

Download or read book Data Sketches written by Nadieh Bremer and published by CRC Press. This book was released on 2021-02-09 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.

Download or read book Exploratory Causal Analysis with Time Series Data written by James M. McCracken and published by Springer Nature. This book was released on 2022-06-01 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the development of many different time series causality approaches and tools including transfer entropy, convergent cross-mapping (CCM), and Granger causality statistics. A practicing analyst can explore the literature to find many proposals for identifying drivers and causal connections in time series data sets. Exploratory causal analysis (ECA) provides a framework for exploring potential causal structures in time series data sets and is characterized by a myopic goal to determine which data series from a given set of series might be seen as the primary driver. In this work, ECA is used on several synthetic and empirical data sets, and it is found that all of the tested time series causality tools agree with each other (and intuitive notions of causality) for many simple systems but can provide conflicting causal inferences for more complicated systems. It is proposed that such disagreements between different time series causality tools during ECA might provide deeper insight into the data than could be found otherwise.

Download or read book Data Mining Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Download or read book Learning to See Data written by Ben Jones and published by Data Literacy Press. This book was released on 2020-12-15 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is associated with the 'Data Literacy Level 1' on-demand online course: https://dataliteracy.com/courses/data-literacy-level-1 For most of us, it's rare to go a full day without coming across data in the form of a chart, map or dashboard. Graphical displays of data are all around us, from performance indicators at work to election trackers on the news to traffic maps on the road. But few of us have received training or instruction in how to actually read and interpret them. How many times have we been misled simply because we aren't aware of the pitfalls to avoid when interpreting data visualizations. Learning to See Data will teach you the different ways that data can be encoded in graphical form, and it will give you a deeper understanding of the way our human visual system interprets these encodings. You will also learn about the most common chart types, and the situations in which they are most appropriate. From basic bar charts to overused pie charts to helpful maps and many more, a wide array of chart types are covered in detail, and conventions, pitfalls, strengths and weaknesses of each of them are revealed. This book will help you develop fluency in the interpretation of charts, an ability that we all need to hone and perfect if we are to make meaningful contributions in the professional, public and personal arenas of life. The principles covered in it also serve as a critical background for anyone looking to create charts that others will be able to understand. "This book is clear and evocative, thorough and thoughtful, and remarkably readable: a marvelous launchpad into the world of data." –Tamara Munzner, Professor, University of British Columbia Computer Science "Everyone of us needs good data literacy skills to survive in the modern world. Without them, it's hard to succeed at work, or survive the onslaught of information (and misinformation) across all our media. Ben's book provides the necessary building blocks for a strong foundation. From that foundation, Ben's approach will inspire you to own the process of developing your skills further." –Andy Cotgreave, Technical Evangelism Director, Tableau

Download or read book The Handbook of Technical Analysis Test Bank written by Mark Andrew Lim and published by John Wiley & Sons. This book was released on 2015-12-07 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self study exam preparatory guide for financial technical analysis certifications Written by the course director and owner of www.tradermasterclass.com, a leading source of live and online courses in trading, technical analysis, and money management, A Handbook of Technical Analysis: The Practitioner's Comprehensive Guide to Technical Analysis is the first financial technical analysis examination preparatory book in the market. It is appropriate for students taking IFTA CFTe Level I and II (US), STA Diploma (UK), Dip TA (Aus), and MTA CMT Level I, II, and III exams in financial technical analysis, as well as for students in undergraduate, graduate, or MBA courses. The book is also an excellent resource for serious traders and technical analysts, and includes a chapter dedicated to advanced money management techniques. This chapter helps complete a student's education and also provides indispensable knowledge for FOREX, bond, stock, futures, CFD, and option traders. Learn the definitions, concepts, application, integration, and execution of technical-based trading tools and approaches Integrate innovative techniques for pinpointing and handling market reversals Understand trading mechanisms and advanced money management techniques Examine the weaknesses of popular technical approaches and find more effective solutions The book allows readers to test their current knowledge and then check their learning with end-of-chapter test questions that span essays, multiple choice, and chart-based annotation exercises. This handbook is an essential resource for students, instructors, and practitioners in the field. Alongside the handbook, the author will also publish two full exam preparatory workbooks and a bonus online Q&A Test bank built around the most popular professional examinations in financial technical analysis.

Download or read book Data and Applications Security and Privacy XXVII written by Lingyu Wang and published by Springer. This book was released on 2013-07-10 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 27th IFIP WG 11.3 International Conference on Data and Applications Security and Privacy, DBSec 2013, held in Newark, NJ, USA in July 2013. The 16 revised full and 6 short papers presented were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on privacy, access control, cloud computing, data outsourcing, and mobile computing.