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024 7 $a10.1007/978-3-642-37128-8
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035   $a(EBL)1317162
035   $a(OCoLC)854975730
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035   $a(PQKBTitleCode)TC0000894599
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035   $a(DE-He213)978-3-642-37128-8
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100   $a20111102d2013      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 12$aA real-time in-memory discovery service $eleveraging hierarchical packaging information in a unique identifier network to retrieve track and trace information /$fJurgen Muller
205   $a1st ed. 2013.
210   $aBerlin ;$aHeidelberg $cSpringer-Verlag$d2013
215   $a1 online resource (183 p.)
225 1 $aIn-Memory Data Management Research,$x2196-8055
300   $aDescription based upon print version of record.
311   $a3-642-37127-2 
311   $a3-642-43767-2 
320   $aIncludes bibliographical references.
327   $aIntroduction and Motivation -- Underlying Technologies and Related Works -- A Hierarchical-Packaging-aware Discovery Service -- A Recursive Search Algorithm -- A Filter Algorithm to Extract the Relevant Read Events -- System Design and Implementation Considerations -- Evaluation -- Conclusion and Future Work.
330   $aThe research presented in this book discusses how to efficiently retrieve track and trace information for an item of interest that took a certain path through a complex network of manufacturers, wholesalers, retailers, and consumers. To this end, a super-ordinate system called "Discovery Service" is designed that has to handle large amounts of data, high insert-rates, and a high number of queries that are submitted to the discovery service. An example that is used throughout this book is the European pharmaceutical supply chain, which faces the challenge that more and more counterfeit medicinal products are being introduced. Between October and December 2008, more than 34 million fake drug pills were detected at customs control at the borders of the European Union. These fake drugs can put lives in danger as they were supposed to fight cancer, take effect as painkiller or antibiotics, among others. The concepts described in this book can be adopted for supply chain management use cases other than track and trace, such as recall, supply chain optimization, or supply chain analytics.
410  0$aIn-Memory Data Management Research,$x2196-8055
606   $aData mining
606   $aDatabase management
615  0$aData mining.
615  0$aDatabase management.
676   $a006.312
700   $aMuller$b Jurgen$00
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910741156903321
996   $aA Real-Time In-Memory Discovery Service$93554560
997   $aUNINA