| 000 | 04499nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-31164-2 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083321.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120704s2012 gw | s |||| 0|eng d | ||
| 020 |
_a9783642311642 _9978-3-642-31164-2 |
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| 024 | 7 |
_a10.1007/978-3-642-31164-2 _2doi |
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| 050 | 4 | _aQA76.9.D3 | |
| 072 | 7 |
_aUN _2bicssc |
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| 072 | 7 |
_aUMT _2bicssc |
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| 072 | 7 |
_aCOM021000 _2bisacsh |
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| 082 | 0 | 4 |
_a005.74 _223 |
| 100 | 1 |
_aChristen, Peter. _eauthor. |
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| 245 | 1 | 0 |
_aData Matching _h[electronic resource] : _bConcepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection / _cby Peter Christen. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
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| 300 |
_aXIX, 270 p. 66 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 | _aData-Centric Systems and Applications | |
| 505 | 0 | _aPart I Overview -- Introduction -- The Data Matching Process -- Part II Steps of the Data Matching Process -- Data Pre-Processing -- Indexing -- Field and Record Comparison -- Classification -- Evaluation of Matching Quality and Complexity -- Part III Further Topics -- Privacy Aspects of Data Matching -- Further Topics and Research Directions -- Data Matching Systems. | |
| 520 | _aData 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. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aDatabase management. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aInformation storage and retrieval systems. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aOptical pattern recognition. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aDatabase Management. |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aInformation Storage and Retrieval. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aPattern Recognition. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642311635 |
| 830 | 0 | _aData-Centric Systems and Applications | |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-31164-2 |
| 912 | _aZDB-2-SCS | ||
| 999 |
_c103312 _d103312 |
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