Geographic Data Mining and Knowledge DiscoveryHarvey J. Miller, Jiawei Han CRC Press, 2009 M05 27 - 486 pages 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 |
Contents
| 1 | |
Chapter 2 SpatioTemporal Data Mining Paradigms and Methodologies | 27 |
Chapter 3 Fundamentals of Spatial Data Warehousing for Geographic Knowledge Discovery | 45 |
Highway Traffic Data | 69 |
Chapter 5 Data Quality Issues and Geographic Knowledge Discovery | 99 |
Chapter 6 Spatial Classification and Prediction Models for Geospatial Data Mining | 117 |
Chapter 7 An Overview of Clustering Methods in Geographic Data Analysis | 149 |
Chapter 8 Computing Medoids in Large Spatial Datasets | 189 |
Chapter 11 Visual Exploration and Explanation in Geography Analysis with Light | 291 |
Chapter 12 Multivariate Spatial Clustering and Geovisualization | 325 |
Chapter 13 Toward Knowledge Discovery about Geographic Dynamics in Spatiotemporal Databases | 347 |
Chapter 14 The Role of a Multitier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility | 367 |
Chapter 15 Periodic Pattern Discovery from Trajectories of Moving Objects | 389 |
Chapter 16 Decentralized Spatial Data Mining for Geosensor Networks | 409 |
Chapter 17 Beyond Exploratory Visualization of SpaceTime Paths | 431 |
| 445 | |
Chapter 9 Looking for a Relationship? Try GWR | 227 |
Chapter 10 Leveraging the Power of Spatial Data Mining to Enhance the Applicability of GIS Technology | 255 |
Back cover | 475 |
Other editions - View all
Geographic Data Mining and Knowledge Discovery Harvey J. Miller,Jiawei Han No preview available - 2001 |
Geographic Data Mining and Knowledge Discovery, Second Edition Harvey J. Miller,Jiawei Han No preview available - 2009 |
Common terms and phrases
activities aggregate algorithm analysis application approach areas association attributes chapter classification cluster color communication complex component Computer concepts considered constructs contains cube data mining data warehouse databases datasets defined dependent described developed dimension discovered distance distribution domain estimates example existing exploration Figure framework function geographic dynamics Geographic Information given hierarchy integrated interactions interest International Journal knowledge discovery learning means measure medoid methods multivariate nest node objects observations ontology operator parameter partitioning patterns performed points position possible prediction present problem properties query reasoning reference regions regression relationships representation represented requires rules Science selected shows similar space spatial data spatiotemporal specific statistical structure Table task techniques temporal tion traffic trajectory types values variables visualization