Geographic Data Mining And Knowledge Discovery
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Geographic Data Mining And Knowledge Discovery
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Author : Harvey J. Miller
language : en
Publisher: CRC Press
Release Date : 2009-05-27
Geographic Data Mining And Knowledge Discovery written by Harvey J. Miller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-27 with Computers categories.
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has bee
Geographic Data Mining And Knowledge Discovery
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Author : Harvey J. Miller
language : en
Publisher: CRC Press
Release Date : 2003-10-04
Geographic Data Mining And Knowledge Discovery written by Harvey J. Miller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-04 with Technology & Engineering categories.
Advances in automated data collection are creating massive databases and a whole new field, Knowledge Discovery Databases (KDD), has emerged to develop new methods of managing and exploiting them. Geographic Data Mining and Knowledge Discovery is the interrogation of large databases using efficient computational methods. The unique challenges brought about by the storing of massive geographical databases - from high resolution satellite-based systems to data from intelligent transportation systems, for example - has led to the field of Geographical Knowledge Discovery (GKD). Geographic or spatial data mining is the exploration of these geographical information databases. Developed out of contributions to the highly-respected Varenius Project in 1999, this collection will be the definitive volume focusing on GKD and addresses the special challenges to be found in knowledge discovery and data mining from geographic databases.
Geographic Data Mining And Knowledge Discovery
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Author : Harvey J. Miller
language : en
Publisher:
Release Date : 2001
Geographic Data Mining And Knowledge Discovery written by Harvey J. Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Geodatabases categories.
Advances in automated data collection are creating massive databases and a whole new field, Knowledge Discovery Databases (KDD), has emerged to develop new methods of managing and exploiting them. Data Mining is the interrogation of large databases using efficient computational methods. The unique challenges brought about by the storing of massive geographical databases - from high resolution satellite-based systems to data from intelligent transportation systems, for example - has led to the field of geographical knowledge discovery (GKD). Geographic or Spatial Data Mining is the exploration.
Mobility Data Mining And Privacy
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Author : Fosca Giannotti
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-12
Mobility Data Mining And Privacy written by Fosca Giannotti 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 2008-01-12 with Computers categories.
Mobile communications and ubiquitous computing generate large volumes of data. Mining this data can produce useful knowledge, yet individual privacy is at risk. This book investigates the various scientific and technological issues of mobility data, open problems, and roadmap. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, and this book relates their findings in 13 chapters covering all related subjects.
Spatial Data Mining
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Author : Deren Li
language : en
Publisher: Springer
Release Date : 2016-03-23
Spatial Data Mining written by Deren Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-23 with Computers categories.
· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.
Mobility Data Mining And Privacy
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Author : Fosca Giannotti
language : en
Publisher:
Release Date : 2008-08-12
Mobility Data Mining And Privacy written by Fosca Giannotti and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-12 with categories.
Emerging Trends In Knowledge Discovery And Data Mining
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Author : Takashi Washio
language : en
Publisher: Springer
Release Date : 2013-02-13
Emerging Trends In Knowledge Discovery And Data Mining written by Takashi Washio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-13 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in conjunction with the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), in Kuala Lumpur, Malaysia, May/June 2012. The 12 revised papers presented were carefully reviewed and selected from numerous submissions. DMHM 2012 aimed at providing a common platform for the discussion of challenging issues and potential techniques in this emerging field of data mining for health care management; 3Clust 2012 focused on solving emerging problems such as clustering ensembles, semi-supervised clustering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text datasets to offer to the database community a unified framework for geodata discovery; and DSDM 2012 provided the opportunity for Ph.D. students and junior researchers to discuss their work on data mining foundations, techniques and applications.
Data Mining For Geoinformatics
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Author : Guido Cervone
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-16
Data Mining For Geoinformatics written by Guido Cervone 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 2013-08-16 with Computers categories.
The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.
Knowledge Discovery In Spatial Data
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Author : Yee Leung
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-14
Knowledge Discovery In Spatial Data written by Yee Leung 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 2010-03-14 with Social Science categories.
When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: “the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.
2015 2nd Ieee International Conference On Spatial Data Mining And Geographical Knowledge Services Icsdm
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2015-07-08
2015 2nd Ieee International Conference On Spatial Data Mining And Geographical Knowledge Services Icsdm written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-08 with categories.
The conference will focus on, but not limit to, the following cutting edge topics 1 Geospatial data mining and knowledge discovery Geospatial or spatiotemporal data mining algorithms Spatiotemporal data reasoning Spatial statistics and data mining Visual spatial data mining Geographical stream and video mining Data cleaning & preprocessing methods Feature extraction, selection and dimension Reduction Extraction knowledge from Big Data Mining on volunteered geographic data Mining semi structured Data Anomaly & outlier detection Mining spatial data sets with constraints Mining with Data Clouds Mining Complex Datasets Mining on Emerging Architectures 2 Geographical process modeling and Decision Spatiotemporal analysis and modeling methods Spatial decision support systems Spatial data warehouse and spatial OLAP Modeling and analysis of digital elevation or topography Modeling uncertainty in geo spatial information Virtual modeling of large geographic areas Time series and non stationa