Data Mining For Co Location Patterns

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Data Mining for Co-location Patterns

Guoqing Zhou
Data Mining for Co location Patterns Book PDF

Author : Guoqing Zhou
Publisher : CRC Press
Page : 229 pages
File Size : 54,8 Mb
Release : 2022-01-26
Category : Technology & Engineering
ISBN : 9781000533439

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Data Mining for Co-location Patterns by Guoqing Zhou Pdf

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

Lizhen Wang,Yuan Fang,Lihua Zhou
Preference based Spatial Co location Pattern Mining Book PDF

Author : Lizhen Wang,Yuan Fang,Lihua Zhou
Publisher : Springer Nature
Page : 307 pages
File Size : 55,9 Mb
Release : 2022-01-04
Category : Computers
ISBN : 9789811675669

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Preference-based Spatial Co-location Pattern Mining by Lizhen Wang,Yuan Fang,Lihua Zhou Pdf

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.

Fuzzy Systems and Data Mining VIII

A.J. Tallón-Ballesteros
Fuzzy Systems and Data Mining VIII Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 440 pages
File Size : 51,9 Mb
Release : 2022-11-04
Category : Computers
ISBN : 9781643683478

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Fuzzy Systems and Data Mining VIII by A.J. Tallón-Ballesteros Pdf

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

Shashi Shekhar,Hui Xiong
Encyclopedia of GIS Book PDF

Author : Shashi Shekhar,Hui Xiong
Publisher : Springer Science & Business Media
Page : 1392 pages
File Size : 40,8 Mb
Release : 2007-12-12
Category : Computers
ISBN : 9780387308586

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Encyclopedia of GIS by Shashi Shekhar,Hui Xiong Pdf

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

Michael W. Berry
Proceedings of the Fourth SIAM International Conference on Data Mining Book PDF

Author : Michael W. Berry
Publisher : SIAM
Page : 556 pages
File Size : 49,9 Mb
Release : 2004-01-01
Category : Mathematics
ISBN : 0898715687

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Proceedings of the Fourth SIAM International Conference on Data Mining by Michael W. Berry Pdf

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

C. Shen
Fuzzy Systems and Data Mining VII Book PDF

Author : C. Shen
Publisher : IOS Press
Page : 494 pages
File Size : 41,8 Mb
Release : 2021-11-04
Category : Computers
ISBN : 9781643682150

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Fuzzy Systems and Data Mining VII by C. Shen Pdf

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.

Advanced Data Mining and Applications

Weitong Chen,Lina Yao,Taotao Cai,Shirui Pan,Tao Shen,Xue Li
Advanced Data Mining and Applications Book PDF

Author : Weitong Chen,Lina Yao,Taotao Cai,Shirui Pan,Tao Shen,Xue Li
Publisher : Springer Nature
Page : 552 pages
File Size : 43,9 Mb
Release : 2022-11-23
Category : Computers
ISBN : 9783031220647

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Advanced Data Mining and Applications by Weitong Chen,Lina Yao,Taotao Cai,Shirui Pan,Tao Shen,Xue Li Pdf

The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022. The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.

Machine Learning and Knowledge Discovery in Databases

Wray Buntine,Marko Grobelnik,Dunja Mladenic,John Shawe-Taylor
Machine Learning and Knowledge Discovery in Databases Book PDF

Author : Wray Buntine,Marko Grobelnik,Dunja Mladenic,John Shawe-Taylor
Publisher : Springer Science & Business Media
Page : 787 pages
File Size : 54,8 Mb
Release : 2009-09-03
Category : Computers
ISBN : 9783642041730

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Machine Learning and Knowledge Discovery in Databases by Wray Buntine,Marko Grobelnik,Dunja Mladenic,John Shawe-Taylor Pdf

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.

Fuzzy Systems and Data Mining V

A.J. Tallón-Ballesteros
Fuzzy Systems and Data Mining V Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 1186 pages
File Size : 42,5 Mb
Release : 2019-11-06
Category : Computers
ISBN : 9781643680194

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Fuzzy Systems and Data Mining V by A.J. Tallón-Ballesteros Pdf

The Fuzzy Systems and Data Mining (FSDM) conference is an annual event encompassing four main themes: fuzzy theory, algorithms and systems, which includes topics like stability, foundations and control; fuzzy application, which covers different kinds of processing as well as hardware and architectures for big data and time series and has wide applicability; the interdisciplinary field of fuzzy logic and data mining, encompassing applications in electrical, industrial, chemical and engineering fields as well as management and environmental issues; and data mining, outlining new approaches to big data, massive data, scalable, parallel and distributed algorithms. The annual conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This book includes the papers accepted and presented at the 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019), held in Kitakyushu, Japan on 18-21 October 2019. This year, FSDM received 442 submissions. All papers were carefully reviewed by program committee members, taking account of the quality, novelty, soundness, breadth and depth of the research topics falling within the scope of FSDM. The committee finally decided to accept 137 papers, which represents an acceptance rate of about 30%. The papers presented here are arranged in two sections: Fuzzy Sets and Data Mining, and Communications and Networks. Providing an overview of the most recent scientific and technological advances in the fields of fuzzy systems and data mining, the book will be of interest to all those working in these fields.

Fuzzy Systems and Data Mining VI

A.J. Tallón-Ballesteros
Fuzzy Systems and Data Mining VI Book PDF

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 812 pages
File Size : 46,8 Mb
Release : 2020-11-13
Category : Computers
ISBN : 9781643681351

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Fuzzy Systems and Data Mining VI by A.J. Tallón-Ballesteros Pdf

The interdisciplinary field of fuzzy logic encompass applications in the electrical, industrial, chemical and engineering realms as well as in areas of management and environmental issues, while data mining covers new approaches to big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from the 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020). The conference was originally due to be held from 13-16 November 2020 in Xiamen, China, but was changed to an online conference held on the same dates 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 316 submissions, of which 76 papers were selected for inclusion in the conference; an acceptance rate of 24%. The conference covers four main areas: fuzzy theory; algorithms and systems, which includes topics like stability; foundations and control; and fuzzy applications, which are widely used and cover various types of processing as well as hardware and architecture for big data and time series. Providing a current overview of 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.

Fuzzy Systems and Data Mining IV

A.J. Tallón-Ballesteros,K. Li
Fuzzy Systems and Data Mining IV Book PDF

Author : A.J. Tallón-Ballesteros,K. Li
Publisher : IOS Press
Page : 990 pages
File Size : 51,5 Mb
Release : 2018-11-06
Category : Computers
ISBN : 9781614999270

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Fuzzy Systems and Data Mining IV by A.J. Tallón-Ballesteros,K. Li Pdf

Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries. This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% . Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.

Advances in Knowledge Discovery and Data Mining

Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon
Publisher : Springer
Page : 876 pages
File Size : 48,7 Mb
Release : 2017-04-25
Category : Computers
ISBN : 9783319575292

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Advances in Knowledge Discovery and Data Mining by Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon Pdf

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

Emerging Technologies in Data Mining and Information Security

João Manuel R. S. Tavares,Satyajit Chakrabarti,Abhishek Bhattacharya,Sujata Ghatak
Emerging Technologies in Data Mining and Information Security Book PDF

Author : João Manuel R. S. Tavares,Satyajit Chakrabarti,Abhishek Bhattacharya,Sujata Ghatak
Publisher : Springer Nature
Page : 994 pages
File Size : 46,7 Mb
Release : 2021-05-04
Category : Technology & Engineering
ISBN : 9789811597749

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Emerging Technologies in Data Mining and Information Security by João Manuel R. S. Tavares,Satyajit Chakrabarti,Abhishek Bhattacharya,Sujata Ghatak Pdf

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.

Advances in Knowledge Discovery and Data Mining

Jian Pei,Vincent S. Tseng,Longbing Cao,Hiroshi Motoda,Guandong Xu
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Jian Pei,Vincent S. Tseng,Longbing Cao,Hiroshi Motoda,Guandong Xu
Publisher : Springer
Page : 610 pages
File Size : 51,6 Mb
Release : 2013-04-06
Category : Computers
ISBN : 9783642374531

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Advances in Knowledge Discovery and Data Mining by Jian Pei,Vincent S. Tseng,Longbing Cao,Hiroshi Motoda,Guandong Xu Pdf

The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Advances in Knowledge Discovery and Data Mining

Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava
Advances in Knowledge Discovery and Data Mining Book PDF

Author : Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava
Publisher : Springer
Page : 564 pages
File Size : 47,6 Mb
Release : 2011-05-27
Category : Computers
ISBN : 9783642208416

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Advances in Knowledge Discovery and Data Mining by Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastava Pdf

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.