Matching Books to Readers

Matching Books to Readers
Author: Irene C. Fountas
Publisher: Heinemann Educational Books
Total Pages: 420
Release: 1999
Genre: Education
ISBN:

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This reference provides a comprehensive, up-to-date levelled reading list. Created with the input of hundreds of early literacy teachers, it compiles more than 7000 caption books, natural language texts, series books, and children's literature for kindergarten through grade three.

Matched

Matched
Author: Ally Condie
Publisher: Penguin
Total Pages: 416
Release: 2011-09-20
Genre: Young Adult Fiction
ISBN: 1101558466

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Cassia has always trusted the Society to make the right choices for her: what to read, what to watch, what to believe. So when Xander's face appears on-screen at her Matching ceremony, Cassia knows with complete certainty that he is her ideal mate . . . until she sees Ky Markham's face flash for an instant before the screen fades to black. The Society tells her it's a glitch, a rare malfunction, and that she should focus on the happy life she's destined to lead with Xander. But Cassia can't stop thinking about Ky, and as they slowly fall in love, Cassia begins to doubt the Society's infallibility and is faced with an impossible choice: between Xander and Ky, between the only life she's known and a path that no one else has dared to follow. Look for CROSSED, the sequel to MATCHED, in Fall 2011! Watch a Video

Two-Sided Matching

Two-Sided Matching
Author: Alvin E. Roth
Publisher: Cambridge University Press
Total Pages: 288
Release: 1992-06-26
Genre: Business & Economics
ISBN: 1107782430

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Two-sided matching provides a model of search processes such as those between firms and workers in labor markets or between buyers and sellers in auctions. This book gives a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching. The focus of the book is on the stability of outcomes, on the incentives that different rules of organization give to agents, and on the constraints that these incentives impose on the ways such markets can be organized. The results for this wide range of related models and matching situations help clarify which conclusions depend on particular modeling assumptions and market conditions, and which are robust over a wide range of conditions. 'This book chronicles one of the outstanding success stories of the theory of games, a story in which the authors have played a major role: the theory and practice of matching markets ... The authors are to be warmly congratulated for this fine piece of work, which is quite unique in the game-theoretic literature.' From the Foreword by Robert Aumann

Data Matching

Data Matching
Author: Peter Christen
Publisher: Springer Science & Business Media
Total Pages: 279
Release: 2012-07-04
Genre: Computers
ISBN: 3642311644

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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.

Matching Theory

Matching Theory
Author: László Lovász
Publisher: American Mathematical Soc.
Total Pages: 610
Release: 2009
Genre: Mathematics
ISBN: 0821847597

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This book surveys matching theory, with an emphasis on connections with other areas of mathematics and on the role matching theory has played, and continues to play, in the development of some of these areas. Besides basic results on the existence of matchings and on the matching structure of graphs, the impact of matching theory is discussed by providing crucial special cases and nontrivial examples on matroid theory, algorithms, and polyhedral combinatorics. The new Appendix outlines how the theory and applications of matching theory have continued to develop since the book was first published in 1986, by launching (among other things) the Markov Chain Monte Carlo method.

Matching Books for Toddlers

Matching Books for Toddlers
Author: Busy Hands Books
Publisher:
Total Pages: 66
Release: 2020-02-08
Genre:
ISBN:

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MATCHING BOOKS FOR TODDLERS! LEARNING AND FUN ALL IN ONE! PERFECT FOR IMPROVING: Observation Skills Language Skills Vocabulary Number and Letter Recognition Shape Recognition Fine Motor Skills AND MOST OF ALL...HAVING FUN!

Ontology Matching

Ontology Matching
Author: Jérôme Euzenat
Publisher: Springer Science & Business Media
Total Pages: 512
Release: 2013-11-08
Genre: Computers
ISBN: 3642387217

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Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko’s book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

The Matching Methodology: Some Statistical Properties

The Matching Methodology: Some Statistical Properties
Author: Prem K. Goel
Publisher: Springer Science & Business Media
Total Pages: 163
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461236428

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Incomplete-data problems arise naturally in many instances of statistical practice. One class of incomplete-data problems, which is relatively not well understood by statisticians, is that of merging micro-data files. Many Federal agencies use the methodology of file-merging to create comprehensive files from multiple but incomplete sources of data. The main objective of this endeavor is to perform statistical analyses on the synthetic data set generated by file merging. In general, these analyses cannot be performed by analyzing the incomplete data sets separately. The validity and the efficacy of the file-merging methodology can be assessed by means of statistical models underlying the mechanisms which may generate the incomplete files. However, a completely satisfactory and unified theory of file-merging has not yet been developed This monograph is only a minor attempt to fill this void for unifying known models. Here, we review the optimal properties of some known matching strategies and derive new results thereof. However, a great number of unsolved problems still need the attention of very many researchers. One main problem still to be resolved is the development of appropriate inference methodology from merged files if one insists on using file merging methodology. If this monograph succeeds in attracting just a few more mathematical statisticians to work on this class of problems, then we will feel that our efforts have been successful.

Identity Matching in the Nordic Baltic-region

Identity Matching in the Nordic Baltic-region
Author: Nordic Council of Ministers Secretariat
Publisher: Nordic Council of Ministers
Total Pages: 166
Release:
Genre: Social Science
ISBN: 9289378514

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Available online: https://pub.norden.org/temanord2024-511/ The Nordic and Baltic region represents some of the most digitally advanced societies in the world. An enabling element for this is the availability and vast adoption of electronic identity (eID) means, both among citizens and service providers. This report is part of a mutual effort that was initiated by Cross Border Digital Services Programme and the Nordic-Baltic eID Cooperation (NOBID) project with the aim to expand the Nordic-Baltic countries´ national success in eID to also cover cross-border interoperability and digital mobility in the region. The content of this report, delivered by Civitta and SK ID Solutions, investigates the landscape of cross-border identity matching of natural persons. It does so by providing an overview of the current situation and practices, from country to country, as well presenting insights and perspectives to how identity matching can be solved.

Pattern Recognition and String Matching

Pattern Recognition and String Matching
Author: Dechang Chen
Publisher: Springer Science & Business Media
Total Pages: 782
Release: 2003-11-30
Genre: Mathematics
ISBN: 9781402009532

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The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes students and professionals in computer science, mathematics, statistics, and electrical engineering. We wish to thank all the authors for their valuable efforts, which made this book a reality. Thanks also go to all reviewers who gave generously of their time and expertise.