Innovative Techniques and Applications of Entity Resolution

Author:   Hongzhi Wang
Publisher:   Idea Group,U.S.
ISBN:  

9781466651982


Pages:   354
Publication Date:   28 February 2014
Format:   Hardback
Availability:   In Print   Availability explained
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Innovative Techniques and Applications of Entity Resolution


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Overview

Entity resolution is an essential tool in processing and analysing 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.

Full Product Details

Author:   Hongzhi Wang
Publisher:   Idea Group,U.S.
Imprint:   Idea Group,U.S.
Dimensions:   Width: 15.20cm , Height: 2.40cm , Length: 22.90cm
Weight:   1.311kg
ISBN:  

9781466651982


ISBN 10:   1466651989
Pages:   354
Publication Date:   28 February 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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, particularly in the 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 was selected as the outstanding doctoral dissertation by the China Computer Federation.

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