Geographic Data Mining and Knowledge Discovery

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Publisher : CRC Press
ISBN 13 : 1420073982
Total Pages : 486 pages
Book Rating : 4.80/5 ( download)

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Book Synopsis Geographic Data Mining and Knowledge Discovery by : Harvey J. Miller

Download or read book Geographic Data Mining and Knowledge Discovery written by Harvey J. Miller and published by CRC Press. This book was released on 2009-05-27 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Knowledge Discovery in Spatial Data

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Publisher : Springer Science & Business Media
ISBN 13 : 3642026648
Total Pages : 381 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis Knowledge Discovery in Spatial Data by : Yee Leung

Download or read book Knowledge Discovery in Spatial Data written by Yee Leung and published by Springer Science & Business Media. This book was released on 2010-03-14 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Data Mining

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Publisher : Springer
ISBN 13 : 3662485389
Total Pages : 308 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Spatial Data Mining by : Deren Li

Download or read book Spatial Data Mining written by Deren Li and published by Springer. This book was released on 2016-03-23 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: · 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’.

Advances in Spatial Databases

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540632382
Total Pages : 404 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Advances in Spatial Databases by : Michel Scholl

Download or read book Advances in Spatial Databases written by Michel Scholl and published by Springer Science & Business Media. This book was released on 1997-07-02 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Includes bibliographical references and index.

Research and Development in Knowledge Discovery and Data Mining

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Publisher :
ISBN 13 : 9783662174012
Total Pages : 452 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Research and Development in Knowledge Discovery and Data Mining by : Xindong Wu

Download or read book Research and Development in Knowledge Discovery and Data Mining written by Xindong Wu and published by . This book was released on 2014-01-15 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mobility, Data Mining and Privacy

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Publisher : Springer Science & Business Media
ISBN 13 : 3540751777
Total Pages : 415 pages
Book Rating : 4.79/5 ( download)

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Book Synopsis Mobility, Data Mining and Privacy by : Fosca Giannotti

Download or read book Mobility, Data Mining and Privacy written by Fosca Giannotti and published by Springer Science & Business Media. This book was released on 2008-01-12 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Handling in Big Data Era

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Publisher : Springer
ISBN 13 : 9811044244
Total Pages : 237 pages
Book Rating : 4.43/5 ( download)

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Book Synopsis Spatial Data Handling in Big Data Era by : Chenghu Zhou

Download or read book Spatial Data Handling in Big Data Era written by Chenghu Zhou and published by Springer. This book was released on 2017-05-04 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications. Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.

Emerging Trends in Knowledge Discovery and Data Mining

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Publisher : Springer
ISBN 13 : 364236778X
Total Pages : 168 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Emerging Trends in Knowledge Discovery and Data Mining by : Takashi Washio

Download or read book Emerging Trends in Knowledge Discovery and Data Mining written by Takashi Washio and published by Springer. This book was released on 2013-02-13 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Geographic Data Mining and Knowledge Discovery

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Publisher :
ISBN 13 : 9780203245804
Total Pages : 372 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Geographic Data Mining and Knowledge Discovery by : Harvey J. Miller

Download or read book Geographic Data Mining and Knowledge Discovery written by Harvey J. Miller and published by . This book was released on 2001 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Combining Spatial and Non-Spatial Data for Knowledge Discovery

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Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783845418834
Total Pages : 296 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Combining Spatial and Non-Spatial Data for Knowledge Discovery by : Shubhamoy Dey

Download or read book Combining Spatial and Non-Spatial Data for Knowledge Discovery written by Shubhamoy Dey and published by LAP Lambert Academic Publishing. This book was released on 2011-08 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of innovative research in combining data from spatial and non-spatial sources for knowledge discovery. Though there has been an explosive growth in data collection and storage capability during the last two decades and many of the data repositories contain location data in the form of spatial references, the wealth of spatial information present in the data is seldom utilised. This unique work establishes that mining of GIS (or other forms of spatial) data in conjunction with the non-spatial data linked together by the location information can successfully detect broad spatial trends over large spatial extents, as well as localised spatial associations. The applicability of the novel framework and algorithmic solutions developed has been demonstrated using real sales data from a supermarket chain. The contents within these covers will be found useful both by data mining students and researchers, and practitioners who would like to use the solution developed for gaining business benefit.