000 04286nam a22005775i 4500
001 978-1-4419-0176-7
003 DE-He213
005 20140220084502.0
007 cr nn 008mamaa
008 100301s2010 xxu| s |||| 0|eng d
020 _a9781441901767
_9978-1-4419-0176-7
024 7 _a10.1007/978-1-4419-0176-7
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
100 1 _aChan, Yupo.
_eeditor.
245 1 0 _aData Engineering
_h[electronic resource] :
_bMining, Information and Intelligence /
_cedited by Yupo Chan, John Talburt, Terry M. Talley.
264 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2010.
300 _aXVII, 447p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v132
505 0 _aA Declarative Approach to Entity Resolution -- Transitive Closure of Data Records: Application and Computation -- Semantic Data Matching: Principles and Performance -- Application of the Near Miss Strategy and Edit Distance to Handle Dirty Data -- A Parallel General-Purpose Synthetic Data Generator1 -- A Grid Operating Environment for CDI -- Parallel File Systems -- Performance Modeling of Enterprise Grids -- Delay Characteristics of Packet Switched Networks -- Knowledge Discovery in Textual Databases: A Concept-Association Mining Approach -- Mining E-Documents to Uncover Structures -- Designing a Flexible Framework for a Table Abstraction -- Information Quality Framework for Verifiable Intelligence Products -- Interactive Visualization of Large High-Dimensional Datasets -- Image Watermarking Based on Pyramid Decomposition with CH Transform -- Immersive Visualization of Cellular Structures -- Visualization and Ontology of Geospatial Intelligence -- Looking Ahead.
520 _aDATA 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.
650 0 _aComputer science.
650 0 _aInformation systems.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aOperations research.
650 0 _aManagement information systems.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aBusiness Information Systems.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _ae-Commerce/e-business.
700 1 _aTalburt, John.
_eeditor.
700 1 _aTalley, Terry M.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441901750
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v132
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-0176-7
912 _aZDB-2-SBE
999 _c110184
_d110184