Innovative Techniques and Applications of Entity Resolution
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Innovative Techniques and Applications of Entity Resolution

Hongzhi Wang
Indexed In: SCOPUS View 3 More Indices
Release Date: February, 2014|Copyright: © 2014 |Pages: 398
DOI: 10.4018/978-1-4666-5198-2
ISBN13: 9781466651982|ISBN10: 1466651989|EISBN13: 9781466651999
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Description & Coverage
Description:

Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring accurate data representation.

Innovative Techniques and Applications of Entity Resolution draws upon interdisciplinary research on tools, techniques, and applications of entity resolution. This research work provides a detailed analysis of entity resolution applied to various types of data as well as appropriate techniques and applications and is appropriately designed for students, researchers, information professionals, and system developers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Algorithms
  • Clustering
  • Data Quality
  • Databases
  • Entity Resolution
  • Information Integration
  • Information Management
  • Query Processing
  • XML
Reviews & Statements

Wang summarizes the current techniques of entity resolution to provide a reference for researchers in databases, data quality, information systems, and information integration. This book can also serve as a textbook for students of such fields as computer science, information systems, and management. It covers principles of entity resolution, entity resolution on various types of data, database techniques and entity resolution, and applications. The topics include measures of entity resolution results, entity resolution of a single relation, basic data operations for entity resolution, entity resolution in bibliographic information management, and entity resolution in healthcare.

– ProtoView Book Abstracts (formerly Book News, Inc.)
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Editor/Author Biographies
Hongzhi Wang, Ph.D. is an Associate Professor at Massive Data Computing Center in the Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. He received his his BSc, MSc and PHD degrees and computer science from Harbin Institute of Technology in 2001, 2003 and 2008, respectively. His research interest is data and information management in general, particular in areas of big data management, particularly in areas of big data management, data quality, XML and graph data management. He has published more than 100 papers in conferences and journals. He was also awarded Microsoft Fellow, IBM PHD Fellowship and Chinese Excellent Database Engineer. His doctoral dissertation is selected as the outstanding doctoral dissertation by China Computer Federation.
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