Preference Based Spatial Co Location Pattern Mining
![Preference Based Spatial Co Location Pattern Mining](https://ardhindie.com/assets/pdf.png)
DOWNLOAD
Download Preference Based Spatial Co Location Pattern Mining PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Preference Based Spatial Co Location Pattern Mining book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Preference Based Spatial Co Location Pattern Mining
DOWNLOAD
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.
Spatial Query Processing And Data Mining Methods For Location Based Services
DOWNLOAD
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.
Discovering Spatial Co Location Patterns
DOWNLOAD
Author : Fadi Deeb
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2010-08
Discovering Spatial Co Location Patterns written by Fadi Deeb and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08 with categories.
Spatial co-location patterns represent the subsets of events (features) whose instances are frequently located together in a geographic space. It resembles the association rules mining in many aspects. However, they are applied in completely different applications. The co-location patterns discovery presents challenges since the instances of spatial events are embedded in a continuous space and share a variety of spatial relationships. In this book, we provide a study based on some previous approaches, the concepts that were used, and some of their limitations. We propose a methodology which overcomes the shortcomings of some other approaches. This methodology is based on a spatial access method (KD-Tree) with its basic operations and the apriori generation algorithm. The results of conducted experimentation show the correctness and completeness of our approach. The results also illustrate the effect of input data on the performance. An interface which displays the results graphically is provided.
Fp Tree Based Spatial Co Location Pattern Mining
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2005
Fp Tree Based Spatial Co Location Pattern Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data mining categories.
A Non Overlapping Approach To Mining Spatial Co Location Patterns In The Incremental Spatial Database
DOWNLOAD
Author : 顏境逸
language : en
Publisher:
Release Date : 2018
A Non Overlapping Approach To Mining Spatial Co Location Patterns In The Incremental Spatial Database written by 顏境逸 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Big Data And Social Computing
DOWNLOAD
Author : Xiaofeng Meng
language : en
Publisher: Springer Nature
Release Date : 2023-06-29
Big Data And Social Computing written by Xiaofeng Meng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Computers categories.
This book constitutes refereed proceedings of the 8th China National Conference on Big Data and Social Computing, BDSC 2023, held in Urumqi, China, from July 15–17, 2023. The 23 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topical headings: Digital Technology and Sustainable Development; Social Network and Group Behavior; Digital infrastructure and the Intelligent Society; Digital Society and Public Security; Artificial Intelligence and Cognitive Science; and Internet Intelligent Algorithm Governance.
Intelligent Information Processing Xi
DOWNLOAD
Author : Zhongzhi Shi
language : en
Publisher: Springer Nature
Release Date : 2022-05-23
Intelligent Information Processing Xi written by Zhongzhi Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-23 with Computers categories.
This book constitutes the refereed proceedings of the 12th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2022, held in Qingdao, China, in July 2022. The 37 full papers and 6 short papers presented were carefully reviewed and selected from 57 submissions. They are organized in topical sections on Machine Learning, Data Mining, Multiagent Systems, Social Computing, Blockchain Technology, Game Theory and Emotion, Pattern Recognition, Image Processing and Applications.
Fast Mining Of Spatial Co Location Patterns
DOWNLOAD
Author : Xin Zhang (M.Phil., Iris)
language : en
Publisher:
Release Date : 2004
Fast Mining Of Spatial Co Location Patterns written by Xin Zhang (M.Phil., Iris) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Data mining categories.
Sparc An Association Rule Based Classification Algorithm For Spatial Data Mining
DOWNLOAD
Author : Jing He
language : en
Publisher:
Release Date : 2001
Sparc An Association Rule Based Classification Algorithm For Spatial Data Mining written by Jing He and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computer algorithms categories.
Spatial Data And Intelligence
DOWNLOAD
Author : Huayi Wu
language : en
Publisher: Springer Nature
Release Date : 2023-01-17
Spatial Data And Intelligence written by Huayi Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-17 with Computers categories.
This book constitutes the refereed proceedings of the Third International Conference, SpatialDI 2022, Wuhan, China, August 5–7, 2022, Revised Selected Papers. The 19 full papers and 1 short paper included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: Traffic Management, Data science, City Analysis.