Concepts Methodology And Summary Data
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Concepts Methodology And Summary Data
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Author :
language : en
Publisher:
Release Date : 1974
Concepts Methodology And Summary Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with categories.
Concepts Methodology And Summary Data
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Author : United States. Bureau of Economic Analysis. Regional Economics Division
language : en
Publisher:
Release Date : 1974
Concepts Methodology And Summary Data written by United States. Bureau of Economic Analysis. Regional Economics Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with United States categories.
1972 Obers Projections Concepts Methodology And Summary Data
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Author : United States. Bureau of Economic Analysis. Regional Economic Analysis Division
language : en
Publisher:
Release Date : 1974
1972 Obers Projections Concepts Methodology And Summary Data written by United States. Bureau of Economic Analysis. Regional Economic Analysis Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with United States categories.
Big Data Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-04-20
Big Data Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-20 with Computers categories.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
Concepts Methodology And Summary Data
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Author : United States. Bureau of Economic Analysis. Regional Economics Division
language : en
Publisher:
Release Date : 1972
Concepts Methodology And Summary Data written by United States. Bureau of Economic Analysis. Regional Economics Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with United States categories.
Data Quality
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Author : Carlo Batini
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-27
Data Quality written by Carlo Batini and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-27 with Computers categories.
Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone – researchers, students, or professionals – interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic.
Social Science Research Methodology Concepts Methods And Computer Applications
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Author : George Kanire
language : en
Publisher: GRIN Verlag
Release Date : 2012-12-05
Social Science Research Methodology Concepts Methods And Computer Applications written by George Kanire and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-05 with Language Arts & Disciplines categories.
Document from the year 2012 in the subject Communications - Methods and Research Logic, Kampala International University, course: undergraduates and graduates, language: English, abstract: Researches fundamentals are of great importance in disciplines and interested people on searching various knowledge or solution to a phenomenon. The main purpose of the book is to share scholarly knowledge about research and its complexity. This book can be used to train the basics and techniques involved on doing inquiries from different views. The experience shows that, no one single cure for all diseases. So when comes to research, there is no single research methodology or technique which fits all circumstances. Hence, the book tries to identify a family of approaches towards various research situations and distinguish their outcomes. Thus, various disciplines example human resource management, accounts and project management have different environmental set up i.e. matters in question, study elements involved and the study plan can determine research context. The study consulted scholars in different disciplines through their publications that explain various research methodologies. Generally the books highlighted some technical guide lines on conducting researches and report writing which provide overview on research plans. In chapter one, the book tried to explain how to choose among the methods of inquiries. It includes the meaning of research, research approaches and types. Chapter two addressing the types of variables deployed in a study. Either, chapter three tells how to generate research idea. Rather, the book through chapter four described how to develop a re-searchable topics. Meanwhile chapter five gives explanation on how to carry out literature survey that forms a crucial party of studies. Then chapter six is critically explain research designs and research management. The book concludes with the application of computer software in research process. Therefore, the book intended to guide researchers, academician and groom young researchers to conduct different inquiries. This is due to the fact that, human activities and environmental changes created complexity in life as well as challenges. So far; challenges need answers from fundamental questions such as what, where, who and how. It is the main reason for interested groups such as researchers, academician and practitioners to seek guidance during research. This is done to attain answers towards fundamental questions.
Basic Concepts Of Data And Error Analysis
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Author : Panayiotis Nicos Kaloyerou
language : en
Publisher:
Release Date : 2018
Basic Concepts Of Data And Error Analysis written by Panayiotis Nicos Kaloyerou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Engineering mathematics categories.
This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference.
Data Mining
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Author : Florin Gorunescu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-10
Data Mining written by Florin Gorunescu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-10 with Technology & Engineering categories.
The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.
Data Quality
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Author : Carlo Batini
language : en
Publisher: Springer
Release Date : 2010-11-13
Data Quality written by Carlo Batini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-13 with Computers categories.
Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone – researchers, students, or professionals – interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic.