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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Advanced Database Systems The Morgan Kaufmann Series in Data Management Systems
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
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Hardcover-Großformat. Condition: Gut. 574 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1275.
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Data Mining in Large Sets of Complex Data
Book 54 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer London, Limited, 2013
ISBN 10: 1447148894 ISBN 13: 9781447148890
Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Graph Mining : Laws, Tools, and Case Studies
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. Satisfaction Guaranteed or your money back.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Graph Mining : Laws, Tools, and Case Studies
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery)
Language: English
Published by Morgan & Claypool Publishers, 2012
ISBN 10: 1608451151 ISBN 13: 9781608451159
paperback. Condition: Very Good. ALL ITEMS ARE DISPATCHED FROM THE UK WITHIN 48 HOURS ( BOOKS ORDERED OVER THE WEEKEND DISPATCHED ON MONDAY) ALL OVERSEAS ORDERS SENT BY TRACKABLE AIR MAIL. IF YOU ARE LOCATED OUTSIDE THE UK PLEASE ASK US FOR A POSTAGE QUOTE FOR MULTI VOLUME SETS BEFORE ORDERING.
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Data Mining in Large Sets of Complex Data (SpringerBriefs in Computer Science)
Book 54 of 322: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 130.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery)
Language: English
Published by Morgan & Claypool Publishers, 2012
ISBN 10: 1608451151 ISBN 13: 9781608451159
Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
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Individual and Collective Graph Mining: Principles, Algorithms, and Applications (Synthesis Lectures on Data Mining and Knowledge Discovery)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Data Mining in Large Sets of Complex Data
Book 54 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2013
ISBN 10: 1447148894 ISBN 13: 9781447148890
Paperback. Condition: Brand New. 2013 edition. 127 pages. 9.00x0.40x6.00 inches. In Stock.
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Individual and Collective Graph Mining : Principles, Algorithms, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Individual and Collective Graph Mining : Principles, Algorithms, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Graph Mining : Laws, Tools, and Case Studies
Language: English
Published by Springer International Publishing, 2012
ISBN 10: 3031007751 ISBN 13: 9783031007750
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - What does the Web look like How can we find patterns, communities, outliers, in a social network Which are the most central nodes in a network These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with 'what if' scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous 'pageRank' algorithm and the 'HITS' algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions.
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Individual and Collective Graph Mining : Principles, Algorithms, and Applications
Language: English
Published by Springer International Publishing, 2017
ISBN 10: 3031007832 ISBN 13: 9783031007835
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Condition: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation? Can it be made automatically? Based on the work discussed in this book, the answers to both questions are a sound ¿yes¿, and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.
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Searching Multimedia Databases by Content (Advances in Database Systems)
Book 40 of 42: Advances in Database SystemsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 136.79
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