Data Mining For Co Location Patterns
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Data Mining For Co Location Patterns
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Author : Guoqing Zhou
language : en
Publisher: CRC Press
Release Date : 2022-01-26
Data Mining For Co Location Patterns written by Guoqing Zhou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-26 with Technology & Engineering categories.
Co-location pattern mining detects sets of features frequently located in close proximity to each other. This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-location decision tree, and maximal instance co-location pattern mining along with an in-depth overview of data mining, machine learning, and statistics. This arrangement of chapters helps readers understand the methods of co-location pattern mining step-by-step and their applications in pavement management, image classification, geospatial buffer analysis, etc.
Preference Based Spatial Co Location Pattern Mining
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Author : Lizhen Wang
language : en
Publisher: Springer Nature
Release Date : 2022-01-04
Preference Based Spatial Co Location Pattern Mining written by Lizhen Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-04 with Computers categories.
The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field. Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors’ recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns. Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.
Framework For Identification Co Location Patterns In Big Spatio Temporal Data
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Author : Alina Garaeva
language : en
Publisher:
Release Date : 2016
Framework For Identification Co Location Patterns In Big Spatio Temporal Data written by Alina Garaeva and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
In unserem Jahrhundert der Informationstechnologien, eine große Anzahl verschiedener Geräte produzieren eine große Anzahl von raumzeitlichen Daten, sind die meisten der menschlichen Aktivitäten und Naturphänomene zu Geolocation verknüpft. Deshalb sind alle gehört diese Information an den Big-Data-Kategorie, und es hat in der entsprechenden Weise gespeichert und verarbeitet werden. Allerdings Stapel von modernen Technologien, die mit Big Data, zum Beispiel Apache Hadoop und Apache Funken wurde entwickelt, um beschäftigen, bieten nicht nativ unterstützt Funktionen für Datenanalyse. Dennoch erfordert Spatial Data Mining eine effiziente verteilte Verarbeitung großer räumlicher Daten. Spatial Data Mining ist eine Unterklasse von Data-Mining-Probleme, die vor allem ist konzentriert sich auf den Erhalt explizites Wissen, räumlichen Verhältnisse und interessante Muster von raumzeitlichen Daten. Co-Location-Muster Bergbau ist einer der Spatial Data Mining Herausforderungen. Spatial Kollokations Muster könnte als "ein Satz von räumlichen Objekten, die häufig beobachtet werden zusammen in einer räumlichen Nähe" definiert werden. Dabei konzentriert sich diese Arbeit in erster Linie auf die Entwicklung Rahmen für Co-Location-Muster Bergbau in den großen Raum-Zeit-Daten. Daher wird im Rahmen dieser Arbeit Co-Location-Muster Bergbau Ansätze, externe Bibliotheken für skalierbare räumliche Operationen analysiert werden.
Mining Co Location Patterns From Large Spatial Datasets
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Author : Yan Huang
language : en
Publisher:
Release Date : 2003
Mining Co Location Patterns From Large Spatial Datasets written by Yan Huang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Spatial Query Processing And Data Mining Methods For Location Based Services
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Author : Jin Soung Yoo
language : en
Publisher:
Release Date : 2007
Spatial Query Processing And Data Mining Methods For Location Based Services written by Jin Soung Yoo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Spatiotemporal Frequent Pattern Mining From Evolving Region Trajectories
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Author : Berkay Aydin
language : en
Publisher: Springer
Release Date : 2018-10-15
Spatiotemporal Frequent Pattern Mining From Evolving Region Trajectories written by Berkay Aydin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-15 with Computers categories.
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.
Fuzzy Systems And Data Mining Viii
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Author : A.J. Tallón-Ballesteros
language : en
Publisher: IOS Press
Release Date : 2022-11-04
Fuzzy Systems And Data Mining Viii written by A.J. Tallón-Ballesteros and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-04 with Computers categories.
Fuzzy logic is vital to applications in the electrical, industrial, chemical and engineering realms, as well as in areas of management and environmental issues. Data mining is indispensible in dealing with big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from FSDM 2022, the 8th International Conference on Fuzzy Systems and Data Mining. The conference, originally scheduled to take place in Xiamen, China, was held fully online from 4 to 7 November 2022, due to ongoing restrictions connected with the COVID-19 pandemic. This year, FSDM received 196 submissions, of which 47 papers were ultimately selected for presentation and publication after a thorough review process, taking into account novelty, and the breadth and depth of research themes falling under the scope of FSDM. This resulted in an acceptance rate of 23.97%. Topics covered include fuzzy theory, algorithms and systems, fuzzy applications, data mining and the interdisciplinary field of fuzzy logic and data mining. Offering an overview of current research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.
Encyclopedia Of Gis
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Author : Shashi Shekhar
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-12
Encyclopedia Of Gis written by Shashi Shekhar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-12 with Computers categories.
The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.
Proceedings Of The Fourth Siam International Conference On Data Mining
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Author : Michael W. Berry
language : en
Publisher: SIAM
Release Date : 2004-01-01
Proceedings Of The Fourth Siam International Conference On Data Mining written by Michael W. Berry and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Mathematics categories.
The Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.
Fuzzy Systems And Data Mining Vii
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Author : C. Shen
language : en
Publisher: IOS Press
Release Date : 2021-11-04
Fuzzy Systems And Data Mining Vii written by C. Shen and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-04 with Computers categories.
Fuzzy systems and data mining are indispensible aspects of the computer systems and algorithms on which the world has come to depend. This book presents papers from FSDM 2021, the 7th International Conference on Fuzzy Systems and Data Mining. The conference, originally due to take place in Seoul, South Korea, was held online on 26-29 October 2021, due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This year, the committee received 266 submissions, and this book contains 52 papers, including keynotes and invited presentations, oral and poster contributions. The papers cover four main areas: 1) fuzzy theory, algorithms and systems – including topics like stability; 2) fuzzy applications – which are widely used and cover various types of processing as well as hardware and architecture for big data and time series; 3) the interdisciplinary field of fuzzy logic and data mining; and 4) data mining itself. The topic most frequently addressed this year is fuzzy systems. The book offers an overview of research and developments in fuzzy logic and data mining, and will be of interest to all those working in the field of data science.