cormode graham (38 Ergebnisse)

Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Zustand: New.

Zustand: New. In.

Brand new book. Fast ship. Please provide full street address as we are not able to ship toPOboxaddress.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced proba.

Zustand: New. SUPER FAST SHIPPING.

hardcover. Zustand: Very Good. American Mathematical Society; Providence, 2006. Hardcover. A Very Good, binding sturdy and intact, bit of handling/rub marks to boards, AMS compliments sticker affirmed to front pastedown, mild crimping to spine edges, slightly bumped top front board corner and bottom rear board corner, small faint blue scuff mark top text block edge, without Dust wrapper. A nice and clean copy. 8vo[octavo or approx. 6 x 9 inches], 260pp., indexed. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

Buch. Zustand: Neu. Neuware.

Hardcover. Zustand: Brand New. 270 pages. 9.00x6.00x0.75 inches. In Stock.

Hardcover. Zustand: new. Hardcover. The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced probabilistic structures, with applications in big data, data science, and machine learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced probabilistic structures, with applications in big data, data science, and machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Zustand: New.

Hardcover. Zustand: new. Hardcover. The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter. The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced probabilistic structures, with applications in big data, data science, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. pp. 226.

Hardcover. Zustand: Very fine. Quarto in dark blue glassy baords illus in color; xx, 462 pages: illustrations; 25 cm; bibliographical references and index. "Data networking now plays a major role in everyday life and new applications continue to appear at a blinding pace. Yet we still do not have a sound foundation for designing, evaluating and managing these networks. This book covers topics at the intersection of algorithms and networking." - Pibisher. Contents: Cover -- Contents -- Part I: Network Design -- 1 Design for Optimizability: Traffic Management of a Future Internet -- 2 Valiant Load-Balancing: Building Networks That Can Support All Traffic Matrices -- 3 Geometric Capacity Provisioning for Wavelength-Switched WDM Networks -- 4 Spectrum and Interference Management in Next-Generation Wireless Networks -- 5 Cross-Layer Capacity Estimation and Throughput Maximization in Wireless Networks -- 6 Resource Allocation Algorithms for the Next Generation Cellular Networks -- 7 Ethernet-Based Services for Next Generation Networks -- 8 Overlay Networks: Applications, Coexistence with IP Layer, and Transient Dynamics -- Part II: Network Operations -- 9 Hash-Based Techniques for High-Speed Packet Processing -- 10 Fast Packet Pattern-Matching Algorithms -- 11 Anomaly Detection Approaches for Communication Networks -- 12 Model-Based Anomaly Detection for a Transparent Optical Transmission System -- 13 In-Network Monitoring -- 14 Algebraic Approaches for Scalable End-to-End Monitoring and Diagnosis -- Part III: Emerging Applications -- 15 Network Coding and Its Applications in Communication Networks -- 16 Next Generation Search -- 17 At the Intersection of Networks and Highly Interactive Online Games -- 18 Wayfinding in Social Networks -- Index Computer networks. Telecommunication systems. Computer algorithms. Computer algorithms. Computer networks. Telecommunication systems. Algorithmus Kommunikationssystem Netzwerkverwaltung Rechnernetz. Very fine; as new. Extremely faint wear (barely noticed) to exterior; as new.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data networking now plays a major role in everyday life and new applications continue to appear at a blinding pace. Yet we still do not have a sound foundation for designing, evaluating and managing these networks.This book covers topics at the intersection of algorithms and networking. It builds a complete picture of the current state of research on Next Generation Networks and the challenges for the years ahead. Particular focus is given to evolving research initiatives and the architecture they propose and implications for networking.Topics: Network design and provisioning, hardware issues, layer-3 algorithms and MPLS, BGP and Inter AS routing, packet processing for routing, security and network management, load balancing, oblivious routing and stochastic algorithms, network coding for multicast, overlay routing for P2P networking and content delivery.This timely volume will be of interest to a broad readership from graduate students to researchers looking to survey recent research its open questions.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data networking now plays a major role in everyday life and new applications continue to appear at a blinding pace. Yet we still do not have a sound foundation for designing, evaluating and managing these networks.This book covers topics at the intersection of algorithms and networking. It builds a complete picture of the current state of research on Next Generation Networks and the challenges for the years ahead. Particular focus is given to evolving research initiatives and the architecture they propose and implications for networking.Topics: Network design and provisioning, hardware issues, layer-3 algorithms and MPLS, BGP and Inter AS routing, packet processing for routing, security and network management, load balancing, oblivious routing and stochastic algorithms, network coding for multicast, overlay routing for P2P networking and content delivery.This timely volume will be of interest to a broad readership from graduate students to researchers looking to survey recent research its open questions.

Zustand: New.

Zustand: New. SUPER FAST SHIPPING.

Zustand: New.

Zustand: New. In.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Paperback. Zustand: Brand New. 482 pages. 9.25x6.10x1.09 inches. In Stock.

Hardcover. Zustand: Brand New. 2010 edition. 462 pages. 9.25x6.00x1.25 inches. In Stock.

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 510.