Geographic Data Mining and Knowledge Discovery

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since 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 been a rise in the use of knowledge discovery techniques due to the increasing collection and storage of data on spatiotemporal processes and mobile objects. Incorporating these novel developments, this second edition reflects the current state of the art in the field. New to the Second Edition Updated material on geographic knowledge discovery (GKD), GDW research, map cubes, spatial dependency, spatial clustering methods, clustering techniques for trajectory data, the INGENS 2.0 software, and GVis techniques New chapter on data quality issues in GKD New chapter that presents a tree-based partition querying methodology for medoid computation in large spatial databases New chapter that discusses the use of geographically weighted regression as an exploratory technique New chapter that gives an integrated approach to multivariate analysis and geovisualization Five new chapters on knowledge discovery from spatiotemporal and mobile objects databases Geographic data mining and knowledge discovery is a promising young discipline with many challenging research problems. This book shows that this area represents an important direction in the development of a new generation of spatial analysis tools for data-rich environments. Exploring various problems and possible solutions, it will motivate researchers to develop new methods and applications in this emerging field.

Introduction Harvey J. Miller and Jiawei Han Spatiotemporal Data Mining Paradigms and MethodologiesJohn F. Roddick and Brian G. Lees Fundamentals of Spatial Data Warehousing for Geographic Knowledge DiscoveryYvan Bédard and Jiawei Han Analysis of Spatial Data with Map Cubes: Highway Traffic DataChang-Tien Lu, Arnold P. Boedihardjo, and Shashi Shekhar NEW! Data Quality Issues and Geographic Knowledge DiscoveryMarc Gervais, Yvan Bedard, Marie-Andree Levesque, Eveline Bernier, and Rodolphe Devillers Spatial Classification and Prediction Models for Geospatial Data Mining Shashi Shekhar, Ranga Raju Vatsavai, and Sanjay Chawla An Overview of Clustering Methods in Geographic Data AnalysisJiawei Han, Jae-Gil Lee, and Micheline Kamber NEW! Computing Medoids in Large Spatial DatasetsKyriakos Mouratidis, Dimitris Papadias, Spiros Papadimitriou NEW! Looking for a Relationship? Try GWRA. Stewart Fotheringham, Martin Charlton, and Urška Demšar Leveraging the Power of Spatial Data Mining to Enhance the Applicability of GIS TechnologyDonato Malerba, Antonietta Lanza, and Annalisa Appice Visual Exploration and Explanation in Geography: Analysis with LightMark Gahegan NEW! Multivariate Spatial Clustering and GeovisualizationDiansheng Guo NEW! Toward Knowledge Discovery about Geographic Dynamics in Spatiotemporal Databases}May Yuan NEW! The Role of a Multitier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable MobilityMonica Wachowicz, Jose Macedo, Chiara Renso, and Arend Ligtenberg NEW! Periodic Pattern Discovery from Trajectories of Moving ObjectsHuiping Cao, Nikos Mamoulis, and David W. Cheung NEW! Decentralized Spatial Data Mining for Geosensor NetworksPatrick Laube and Matt Duckham NEW! Beyond Exploratory Visualization of Space-Time PathsMenno-Jan Kraak and Otto Huisman

Jiawei Han, Harvey J. Miller