Data Science [electronic resource] : 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings / edited by Sebastian Maneth.
Contributor(s): Maneth, Sebastian [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 9147Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XX, 221 p. 84 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319204246.Subject(s): Computer science | Software engineering | Data structures (Computer science) | Database management | Information storage and retrieval | Computer Science | Database Management | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Data Structures | Data Storage Representation | Software EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed conference proceedings of the 30th British International Conference on Databases, BICOD 2015 - formerly known as BNCOD (British National Conference on Databases) - held in Edinburgh, UK, in July 2015. The 19 revised full papers, presented together with three invited keynotes and three invited lectures were carefully reviewed and selected from 37 submissions. Special focus of the conference has been "Data Science" and so the papers cover a wide range of topics related to databases and data-centric computation.No physical items for this record
This book constitutes the refereed conference proceedings of the 30th British International Conference on Databases, BICOD 2015 - formerly known as BNCOD (British National Conference on Databases) - held in Edinburgh, UK, in July 2015. The 19 revised full papers, presented together with three invited keynotes and three invited lectures were carefully reviewed and selected from 37 submissions. Special focus of the conference has been "Data Science" and so the papers cover a wide range of topics related to databases and data-centric computation.
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