Data Matching

Author : Peter Christen
Publisher : Springer Science & Business Media
Page : 279 pages
File Size : 54,9 Mb
Release : 2012-07-04
Category : Computers
ISBN : 9783642311642

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Data Matching by Peter Christen Pdf

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

Author : Anonim
Publisher : Unknown
Page : 168 pages
File Size : 52,9 Mb
Release : 1997
Category : Student financial aid administration
ISBN : UIUC:30112027360087

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Cash Management/data Matching by Anonim Pdf

Author : Jim Lehmer
Publisher : "O'Reilly Media, Inc."
Page : 285 pages
File Size : 43,8 Mb
Release : 2023-10-03
Category : Computers
ISBN : 9781098152246

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Fuzzy Data Matching with SQL by Jim Lehmer Pdf

If you were handed two different but related sets of data, what tools would you use to find the matches? What if all you had was SQL SELECT access to a database? In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data. Full of real-world techniques, the examples in the book contain working code. You'll learn how to: Identity and remove duplicates in two different datasets using SQL Regularize data and achieve data quality using SQL Extract data from XML and JSON Generate SQL using SQL to increase your productivity Prepare datasets for import, merging, and better analysis using SQL Report results using SQL Apply data quality and ETL approaches to finding similarities and differences between various expressions of the same data

Author : Anonim
Publisher : Unknown
Page : 168 pages
File Size : 44,7 Mb
Release : 1997
Category : Electronic
ISBN : MINN:31951D01526134L

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Cash Management/Data Matching Training Guide, October 1997 by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 52 pages
File Size : 52,5 Mb
Release : 1997
Category : Student financial aid administration
ISBN : UIUC:30112004759202

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Direct Loan Cash Management and Data Matching (reconciliation). by Anonim Pdf

Author : United States. Congress. House. Committee on Ways and Means. Subcommittee on Human Resources
Publisher : Unknown
Page : 96 pages
File Size : 50,9 Mb
Release : 2011
Category : Family services
ISBN : UCSD:31822037828845

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Human Resources Subcommittee Hearing on the Use of Data Matching to Improve Customer Service, Program Integrity, and Taxpayer Savings by United States. Congress. House. Committee on Ways and Means. Subcommittee on Human Resources Pdf

Author : Susanne Rässler
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 46,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461300533

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Statistical Matching by Susanne Rässler Pdf

Government policy questions and media planning tasks may be answered by this data set. It covers a wide range of different aspects of statistical matching that in Europe typically is called data fusion. A book about statistical matching will be of interest to researchers and practitioners, starting with data collection and the production of public use micro files, data banks, and data bases. People in the areas of database marketing, public health analysis, socioeconomic modeling, and official statistics will find it useful.

Author : Anonim
Publisher : Unknown
Page : 86 pages
File Size : 41,7 Mb
Release : 2000
Category : Attachment and garnishment
ISBN : MINN:31951P00797406L

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Financial Institution Data Match Handbook by Anonim Pdf

Author : Graham Williams
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 40,9 Mb
Release : 2011-08-04
Category : Mathematics
ISBN : 9781441998903

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Data Mining with Rattle and R by Graham Williams Pdf

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Author : Yupo Chan,John Talburt,Terry M. Talley
Publisher : Springer Science & Business Media
Page : 381 pages
File Size : 54,9 Mb
Release : 2009-10-15
Category : Computers
ISBN : 9781441901767

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Data Engineering by Yupo Chan,John Talburt,Terry M. Talley Pdf

DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter. The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.

Author : AnHai Doan,Alon Halevy,Zachary Ives
Publisher : Elsevier
Page : 522 pages
File Size : 52,9 Mb
Release : 2012-06-25
Category : Computers
ISBN : 9780124160446

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Principles of Data Integration by AnHai Doan,Alon Halevy,Zachary Ives Pdf

How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field. This book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field. The authors provide a working knowledge of data integration concepts and techniques, giving you the tools you need to develop a complete and concise package of algorithms and applications.

Author : Jill Dunlap Brown,Jana Schmidt
Publisher : Routledge
Page : 129 pages
File Size : 50,5 Mb
Release : 2019-08-23
Category : Education
ISBN : 9781000586718

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Matching Reading Data to Interventions by Jill Dunlap Brown,Jana Schmidt Pdf

This accessible and reader-friendly book will help you assess and determine the foundational reading needs of each of your K – 5 students. Literacy leaders Jill Dunlap Brown and Jana Schmidt offer an easy-to-use data analysis tool called, "The Columns" for teachers at all levels of experience to make sense of classroom data for elementary readers. This book will guide you in using the tool to identify the root causes of foundational reading deficits and to plan appropriate interventions. Sample case studies allow you to practice identifying needs and matching interventions. Stories and examples throughout the book will encourage you as you help your students meet their full potential. The book provides easy-to-use and printable versions of the data analysis columns that will enable you to put the authors‘ advice into immediate action. These tools are available for download on the book’s product page: www.routledge.com/9780367225070

Author : Graham Greenleaf
Publisher : OUP Oxford
Page : 622 pages
File Size : 46,8 Mb
Release : 2014-10-16
Category : Law
ISBN : 9780191669156

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Asian Data Privacy Laws by Graham Greenleaf Pdf

The first work to examine data privacy laws across Asia, covering all 26 countries and separate jurisdictions, and with in-depth analysis of the 14 which have specialised data privacy laws. Professor Greenleaf demonstrates the increasing world-wide significance of data privacy and the international context of the development of national data privacy laws as well as assessing the laws, their powers and their enforcement against international standards. The book also contains a web link to an update to mid-2017.

Author : Daniel Memmert
Publisher : Routledge
Page : 380 pages
File Size : 54,7 Mb
Release : 2021-11-14
Category : Health & Fitness
ISBN : 9781000463774

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Match Analysis by Daniel Memmert Pdf

Match analysis is a performance-diagnostic procedure, which can be used to carry out systematic gaming analysis during competition and training. The analysis of team and racket sports, whether in competition, for opponent preparation (match plan), follow-up, or training is nowadays indispensable in many sports games at different levels. This analysis nevertheless presents many open questions and problem areas: Which data should be used? Who manages the data? Who provides whom with which information? How is this information presented, digested, and applied? The more complex and anonymous the data management is, the more commercial, expensive, and uncontrollable information management and provision becomes. Match Analysis: How to Use Data in Professional Sport is the first book to examine this topic through three types of data sets; video, event, and position data and show how to interpret this data and apply the findings for better team and individual sport performance. This innovative new volume is key reading for researchers, students, and practitioners alike in the fields of Coaching, Performance Analysis, Sport Management, and related specific sport disciplines.

Author : Karl Aberer,Ernesto Damiani,Tharam Dillon
Publisher : Springer
Page : 221 pages
File Size : 43,5 Mb
Release : 2013-11-19
Category : Computers
ISBN : 9783642340444

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Data-Driven Process Discovery and Analysis by Karl Aberer,Ernesto Damiani,Tharam Dillon Pdf

This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011. The 11 revised full papers were carefully selected from 31 submissions. In addition to the thorough review process, the lively discussions at the event itself also helped the authors to improve their papers and to foster interesting extensions. The selected papers cover a wide range of topics spanning from theoretical issues related to process representation to practical experience in process discovery and analysis.