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Computer Science - Database Management & Information Retrieval | Data Stream Management - Processing High-Speed Data Streams

Data Stream Management

Processing High-Speed Data Streams

Garofalakis, Minos, Gehrke, Johannes, Rastogi, Rajeev (Eds.)

2015, Approx. 400 p.

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Traditional Database Management Systems are built on the concept of persistent data sets, that are stored reliably in stable storage and queried/updated several times throughout their lifetime. For several emerging application domains, however, data arrives and needs to be processed on a continuous (24x7) basis, and they need data-processing algorithms and systems that work over continuous data streams. This book is the first in-depth treatment of this important topic, covering basic data stream techniques, data stream synopses, mining data streams, advanced data stream computations, and systems and architectures for data stream management systems.

Content Level » Graduate

Related subjects » Database Management & Information Retrieval - Information Systems and Applications - Signals & Communication

Table of contents 

Part I: Introduction.- Part II: Computation of Basic Stream Synopses.- Part III: Mining Data Streams.- Part IV: Advanced Topics.- Part V: Systems and Architectures.- Part VI: Applications.

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