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Data Mining For Co Location Patterns
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Book Synopsis Data Mining for Co-location Patterns by : Guoqing Zhou
Download or read book Data Mining for Co-location Patterns written by Guoqing Zhou and published by CRC Press. This book was released on 2022-01-26 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Preference-based Spatial Co-location Pattern Mining by : Lizhen Wang
Download or read book Preference-based Spatial Co-location Pattern Mining written by Lizhen Wang and published by Springer Nature. This book was released on 2022-01-04 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mining Co-location Patterns from Large Spatial Datasets by : Yan Huang
Download or read book Mining Co-location Patterns from Large Spatial Datasets written by Yan Huang and published by . This book was released on 2003 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories by : Berkay Aydin
Download or read book Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories written by Berkay Aydin and published by Springer. This book was released on 2018-10-15 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Spatial Query Processing and Data Mining Methods for Location Based Services by : Jin Soung Yoo
Download or read book Spatial Query Processing and Data Mining Methods for Location Based Services written by Jin Soung Yoo and published by . This book was released on 2007 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Wray Buntine
Download or read book Machine Learning and Knowledge Discovery in Databases written by Wray Buntine and published by Springer Science & Business Media. This book was released on 2009-09-03 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
Book Synopsis Framework for Identification Co-location Patterns in Big Spatio-temporal Data by : Alina Garaeva
Download or read book Framework for Identification Co-location Patterns in Big Spatio-temporal Data written by Alina Garaeva and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Fuzzy Systems and Data Mining VIII by : A.J. Tallón-Ballesteros
Download or read book Fuzzy Systems and Data Mining VIII written by A.J. Tallón-Ballesteros and published by IOS Press. This book was released on 2022-11-04 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Exploiting the Power of Group Differences by : Guozhu Dong
Download or read book Exploiting the Power of Group Differences written by Guozhu Dong and published by Morgan & Claypool Publishers. This book was released on 2019-02-22 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside of the computing discipline are also included. Emerging patterns (EPs) are useful in many ways. EPs can be used as features, as simple classifiers, as subpopulation signatures/characterizations, and as triggering conditions for alerts. EPs can be used in gene ranking for complex diseases since they capture multi-factor interactions. The length of EPs can be used to detect anomalies, outliers, and novelties. Emerging/contrast pattern based methods for clustering analysis and outlier detection do not need distance metrics, avoiding pitfalls of the latter in exploratory analysis of high dimensional data. EP-based classifiers can achieve good accuracy even when the training datasets are tiny, making them useful for exploratory compound selection in drug design. EPs can serve as opportunities in opportunity-focused boosting and are useful for constructing powerful conditional ensembles. EP-based methods often produce interpretable models and results. In general, EPs are useful for classification, clustering, outlier detection, gene ranking for complex diseases, prediction model analysis and improvement, and so on. EPs are useful for many tasks because they represent group differences, which have extraordinary power. Moreover, EPs represent multi-factor interactions, whose effective handling is of vital importance and is a major challenge in many disciplines. Based on the results presented in this book, one can clearly say that patterns are useful, especially when they are linked to issues of interest. We believe that many effective ways to exploit group differences' power still remain to be discovered. Hopefully this book will inspire readers to discover such new ways, besides showing them existing ways, to solve various challenging problems.
Book Synopsis Data Mining the Web by : Zdravko Markov
Download or read book Data Mining the Web written by Zdravko Markov and published by John Wiley & Sons. This book was released on 2007-04-06 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).
Book Synopsis Encyclopedia of GIS by : Shashi Shekhar
Download or read book Encyclopedia of GIS written by Shashi Shekhar and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceedings of the Fourth SIAM International Conference on Data Mining by : Michael W. Berry
Download or read book Proceedings of the Fourth SIAM International Conference on Data Mining written by Michael W. Berry and published by SIAM. This book was released on 2004-01-01 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Contrast Data Mining by : Guozhu Dong
Download or read book Contrast Data Mining written by Guozhu Dong and published by CRC Press. This book was released on 2016-04-19 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and
Book Synopsis A Partial Join Approach for Mining Co-Location Patterns: A Summary of Results by :
Download or read book A Partial Join Approach for Mining Co-Location Patterns: A Summary of Results written by and published by . This book was released on 2005 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. The authors identified the computational bottleneck in the execution time of a current co-location mining algorithm. A large fraction of the join-based co-location miner algorithm is devoted to computing joins to identify instances of candidate co-location patterns. They propose a novel partial-join approach for mining co-location patterns efficiently. It transactionizes continuous spatial data while keeping track of the spatial information not modeled by transactions. It uses a transaction-based "a priori" algorithm as a building block and adopts the instance join method for residual instances not identified in transactions. The authors show that the algorithm is correct and complete in finding all co-location rules that have prevalence and conditional probability above the given thresholds. An experimental evaluation using synthetic data sets and a real data set shows that their algorithm is computationally more efficient than the join-based algorithm.
Book Synopsis Fuzzy Systems and Data Mining VII by : C. Shen
Download or read book Fuzzy Systems and Data Mining VII written by C. Shen and published by IOS Press. This book was released on 2021-11-04 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advances in Spatial and Temporal Databases by : Christian S. Jensen
Download or read book Advances in Spatial and Temporal Databases written by Christian S. Jensen and published by Springer Science & Business Media. This book was released on 2001-07-02 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Spatial and Temporal Databases, SSTD 2001, held in Redondo Beach, CA, USA, in July 2001. The 25 revised full papers and two industrial papers presented were carefully reviewed and selected from a total of 70 submissions. The book offers topical sections on modeling and querying, moving-object query processing, query processing: architectures and cost estimation, processing advanced queries, formal aspects, data representation, industrial session, data warehousing and mining, and indexing.
Book Synopsis A Non-overlapping Approach to Mining Spatial Co-location Patterns in the Incremental Spatial Database by : 顏境逸
Download or read book A Non-overlapping Approach to Mining Spatial Co-location Patterns in the Incremental Spatial Database written by 顏境逸 and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
