Data Matching

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Data Matching

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Author : Peter Christen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-04

Data Matching written by Peter Christen 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 2012-07-04 with Computers categories.

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.

Cash Management Data Matching

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Author :
language : en
Publisher:
Release Date : 1997

Cash Management Data Matching written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Student financial aid administration categories.

Fuzzy Data Matching With Sql

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Author : Jim Lehmer
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-10-03

Fuzzy Data Matching With Sql written by Jim Lehmer and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Computers categories.

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

Cash Management Data Matching Training Guide October 1997

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Author :
language : en
Publisher:
Release Date : 1997

Cash Management Data Matching Training Guide October 1997 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.

Direct Loan Cash Management And Data Matching Reconciliation

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Author :
language : en
Publisher:
Release Date : 1997

Direct Loan Cash Management And Data Matching Reconciliation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Student financial aid administration categories.

Human Resources Subcommittee Hearing On The Use Of Data Matching To Improve Customer Service Program Integrity And Taxpayer Savings

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Author : United States. Congress. House. Committee on Ways and Means. Subcommittee on Human Resources
language : en
Publisher:
Release Date : 2011

Human Resources Subcommittee Hearing On The Use Of Data Matching To Improve Customer Service Program Integrity And Taxpayer Savings written by United States. Congress. House. Committee on Ways and Means. Subcommittee on Human Resources and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Family services categories.

Financial Institution Data Match Handbook

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Author :
language : en
Publisher:
Release Date : 2000

Financial Institution Data Match Handbook written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Attachment and garnishment categories.

Data Mining With Rattle And R

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Author : Graham Williams
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-04

Data Mining With Rattle And R written by Graham Williams 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 2011-08-04 with Mathematics categories.

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.

Taxpayer Information Options Exist To Enable Data Sharing Between Irs And Uscic But Each Presents Challenges Report To The Committee On Finance U S Senate

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Author :
language : en
Publisher: DIANE Publishing
Release Date :

Taxpayer Information Options Exist To Enable Data Sharing Between Irs And Uscic But Each Presents Challenges Report To The Committee On Finance U S Senate written by and has been published by DIANE Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Data Engineering

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Author : Yupo Chan
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-15

Data Engineering written by Yupo Chan 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 2009-10-15 with Computers categories.

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.