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Frequent Pattern Mining.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
US$ 24.02
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Add to basketXIX, 471 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Sprache: Englisch.
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US$ 59.16
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659786861 ISBN 13: 9783659786860
Language: English
US$ 63.75
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (Paperback)
Published by Springer International Publishing AG, Cham, 2018
ISBN 10: 3319998722 ISBN 13: 9783319998725
Language: English
Paperback. Condition: new. Paperback. This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories.This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists. This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659786861 ISBN 13: 9783659786860
Language: English
Condition: New.
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Condition: New. pp. 104.
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Modified Frequent Pattern Tree for Mining Negative Association Rules: A Data Mining Techniques for Market Basket Analysis
Published by LAP LAMBERT Academic Publishing, 2022
ISBN 10: 620497954X ISBN 13: 9786204979540
Language: English
Condition: New.
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659786861 ISBN 13: 9783659786860
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.97
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (SpringerBriefs in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Web Usage Mining Using Discovered Frequent Pattern Algorithms: Basics, Steps, Rules, and comparison about algorithms of extracting frequent patterns
Published by LAP LAMBERT Academic Publishing 2015-10-02, 2015
ISBN 10: 3659786861 ISBN 13: 9783659786860
Language: English
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Frequent Pattern Mining in Transactional and Structured Databases
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843359741 ISBN 13: 9783843359740
Language: English
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US$ 87.33
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Add to basketPaperback. Condition: Brand New. 120 pages. 9.25x6.10x0.28 inches. In Stock.
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Published by Springer International Publishing, Springer International Publishing Okt 2018, 2018
ISBN 10: 3319998722 ISBN 13: 9783319998725
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 64.25
Convert currencyUS$ 69.97 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories.This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch.
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319998722 ISBN 13: 9783319998725
Language: English
US$ 64.25
Convert currencyUS$ 71.11 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This SpringerBrief provides an overview within data mining of spatiotemporal frequentpattern mining from evolving regions to the perspective of relationshipmodeling among the spatiotemporal objects, frequent pattern miningalgorithms, and data access methodologies for mining algorithms. Whilethe focus of this book is to provide readers insight into the miningalgorithms from evolving regions, the authors also discuss datamanagement for spatiotemporal trajectories, which has becomeincreasingly important with the increasing volume of trajectories.This brief describes state-of-the-art knowledge discoverytechniques to computer science graduatestudents who are interested in spatiotemporal data mining, as well asresearchers/professionals, who deal with advanced spatiotemporal dataanalysis in their fields. These fields include GIS-experts, meteorologists,epidemiologists, neurologists, and solar physicists.
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Modified Frequent Pattern Tree for Mining Negative Association Rules
Published by LAP LAMBERT Academic Publishing Jun 2022, 2022
ISBN 10: 620497954X ISBN 13: 9786204979540
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 73.16
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Add to basketTaschenbuch. Condition: Neu. Neuware -Mining of Negative Association Rule is helpful to discover the competent items i.e., one item can be substituted for another items in a database. In decision making, we generally use many advantage factors, and also consider some disadvantage factors, for the intention of less-risk (more-profit). It is necessary to focus on Negative Association Rule mining, because in the super market data analysis, Negative Association Rule Mining identifies whatever the items which are not buying together and also whatever the items which may be used as replacing (substituted or alternative) items for other items. Such kind of analysis is possible through Negative Association Rule Mining. Negative rules specify that the relationship between the present and absent item-sets. Negative Association Rule mining is also important because such types of rules should be considered in decision making for applications include product placement and investment analysis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch.
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Frequent Pattern Mining: Techniques and Applications
Published by VDM Verlag Dr. M?ller, 2010
ISBN 10: 3639295536 ISBN 13: 9783639295535
Language: English
US$ 122.25
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Add to basketPaperback. Condition: Like New. Like New. book.
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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (Paperback)
Published by Springer International Publishing AG, Cham, 2018
ISBN 10: 3319998722 ISBN 13: 9783319998725
Language: English
US$ 124.06
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories.This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists. This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Frequent Pattern Mining in Transactional and Structured Databases: Different aspects of itemset, sequence and subtree discovery
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843359741 ISBN 13: 9783843359740
Language: English
US$ 138.73
Convert currencyUS$ 33.34 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Like New. Like New. book.
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Condition: New. pp. 471.
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Frequent Pattern Mining
Published by Springer International Publishing, Springer International Publishing Sep 2016, 2016
ISBN 10: 331934689X ISBN 13: 9783319346892
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 167.07
Convert currencyUS$ 69.97 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch.
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Frequent Pattern Mining
Published by Springer International Publishing, 2016
ISBN 10: 331934689X ISBN 13: 9783319346892
Language: English
US$ 167.07
Convert currencyUS$ 74.29 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
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Frequent Pattern Mining
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 331934689X ISBN 13: 9783319346892
Language: English
US$ 232.26
Convert currencyUS$ 33.34 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. reprint edition. 492 pages. 9.25x6.10x0.99 inches. In Stock.
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Frequent Pattern Mining
Published by Springer International Publishing, Springer International Publishing Sep 2014, 2014
ISBN 10: 3319078208 ISBN 13: 9783319078205
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 231.34
Convert currencyUS$ 69.97 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch.
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Condition: New.
