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Programming Languages for Parallel Processing
Published by IEEE Computer Society Press,U.S., 1994
ISBN 10: 0818665025 ISBN 13: 9780818665028
Language: English
Softcover. Condition: Très bon. Ancien livre de bibliothèque. Salissures sur la tranche. Couverture différente. Edition 1994. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Stains on the edge. Different cover. Edition 1994. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Cybersecurity for Everyone
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 22.72
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Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC (edition 1), 2007
ISBN 10: 1584888326 ISBN 13: 9781584888321
Language: English
£ 22.58
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Add to basketHardcover. Condition: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Cybersecurity for Everyone
Published by CRC Press 2020-12-10, 2020
ISBN 10: 0367642786 ISBN 13: 9780367642785
Language: English
Hardcover. Condition: New.
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£ 8.43
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Add to basketPaperback. Condition: Good. ***GOOD CONDITION***CLEAN PAGES***EX-LIBRARY stamps stickers/marked out name, moderate edge wear, stamp on top/side/bottom,sticker remained on side of book & on inside of title page. We specialize in non-fiction books. Follow us on Facebook and Instagram.
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Foundations of Parallel Programming (Paperback)
Published by Cambridge University Press, Cambridge, 2005
ISBN 10: 0521018560 ISBN 13: 9780521018562
Language: English
Paperback. Condition: new. Paperback. The major reason for the lack of use of parallel computing is the mismatch between the complexity and variety of parallel hardware, and the software development tools to program it. The cost of developing software needs to be amortised over decades, but the platforms on which it executes change every few years, requiring complete rewrites. The evident cost-effectiveness of parallel computation has not been realized because of this mismatch. This book presents an integrated approach to parallel software development by addressing both software and performance issues together. It presents a methodology for software construction that produces architecture - independent and intellectually abstract software. The software can execute efficiently on a range of existing and potential hardware configurations. The approach is based on the construction of categorical data types, a generalization of abstract data types, and of objects. Categorical data types abstract both from the representation of a data type, and also from the detailed control flow necessary to perform operations on it. They thus impose a strong separation between the semantics, on which programs can depend, and the implementation, which is therefore free to hide the parallel machine properties that are used. Using parallel machines is difficult because of their inherent complexity and because their architecture changes frequently. This book presents an integrated approach to developing software for parallel machines that addresses software issues and performance issues together. The author describes a methodology for software construction that is architecture-independent and intellectually abstract. The software can execute efficiently on a range of existing and potential hardware configurations. The approach is based on the construction of categorical data types, a generalization of abstract data types, and of objects. This work will be an outstanding reference for researchers in computing. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Cyberspace, Data Analytics, and Policing
Published by Chapman and Hall/CRC, 2021
ISBN 10: 036764276X ISBN 13: 9780367642761
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
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£ 38.32
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Understanding High-Dimensional Spaces
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 49.51
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Cyberspace, Data Analytics, and Policing
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367647761 ISBN 13: 9780367647766
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 49.93
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Social Networks With Rich Edge Semantics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 50.89
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Knowledge Discovery for Counterterrorism and Law Enforcement
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367386445 ISBN 13: 9780367386443
Language: English
£ 52.66
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 332 | Sprache: Englisch | Produktart: Bücher.
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£ 61.54
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Add to basketCondition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Open Source Intelligence and Cyber Crime : Social Media Analytics
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Hardcover. Condition: Like New. LIKE NEW. book.
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Social Networks With Rich Edge Semantics
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Finding Communities in Social Networks Using Graph Embeddings
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031609158 ISBN 13: 9783031609152
Language: English
£ 172.34
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Community detection in social networks is an important but challenging problem. This book develops a new technique for finding communities that uses both structural similarity and attribute similarity simultaneously, weighting them in a principled way. The results outperform existing techniques across a wide range of measures, and so advance the state of the art in community detection. Many existing community detection techniques base similarity on either the structural connections among social-network users, or on the overlap among the attributes of each user. Either way loses useful information. There have been some attempts to use both structure and attribute similarity but success has been limited. We first build a large real-world dataset by crawling Instagram, producing a large set of user profiles. We then compute the similarity between pairs of users based on four qualitatively different profile properties: similarity of language used in posts, similarity of hashtags used (which requires extraction of content from them), similarity of images displayed (which requires extraction of what each image is 'about'), and the explicit connections when one user follows another. These single modality similarities are converted into graphs. These graphs have a common node set (the users) but different sets a weighted edges. These graphs are then connected into a single larger graph by connecting the multiple nodes representing the same user by a clique, with edge weights derived from a lazy random walk view of the single graphs. This larger graph can then be embedded in a geometry using spectral techniques. In the embedding, distance corresponds to dissimilarity so geometric clustering techniques can be used to find communities. The resulting communities are evaluated using the entire range of current techniques, outperforming all of them. Topic modelling is also applied to clusters to show that they genuinely represent users with similar interests. This can form the basis for applications such as online marketing, or key influence selection.
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