Includes bibliographical references and index.
|Statement||editors, Harvey J. Miller and Jiawei Han.|
|Contributions||Miller, Harvey J., Han, Jiawei.|
|LC Classifications||G70.2 .G4365 2009|
|The Physical Object|
|LC Control Number||2009010969|
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 cturer: CRC Press. 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 brougCited by: 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 beeCited by: From the Publisher: Developed out of the renowned Varenius Project in , this book is the definitive volume on geographical knowledge discovery and data mining from geographical databases. Containing contributions by many of the Worlds leading experts, the books release is timely as there is virtually nothing else published yet for those working on these systems.
Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a . A new multidisciplinary research area is emerging at this crossroads of mobility, data mining, and privacy. This book assesses this research frontier from a computer science perspective, investigating the various scientific and technological issues, open problems, and roadmap. 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 : Hardcover. Geographic Data Mining And Knowledge Discovery book. Read reviews from world’s largest community for readers. Advances in automated data collection are c /5(6).
Data Quality Issues and Geographic Knowledge Discovery Geographical data warehouses contain data coming from multiple sources potentially collected at different times and using different techniques. One of the most important concerns about geographical data warehouses is the quality or reliability of the dataAuthor: Harvey J. Miller, Jiawei Han. The editors manage a research project called GeoPKDD, Geographic Privacy-Aware Knowledge Discovery and Delivery, funded by the EU Commission and involving 40 researchers from 7 countries, and this book tightly integrates and relates their findings in 13 chapters covering all related subjects, including the concepts of movement data and knowledge discovery from movement data; privacy 4/5(1). GKD (Geographical Knowledge Discovery) is an extension of the broader trend of KDD which is based on a belief that there is novel and useful geographic knowledge hidden in the unprecedented amount. On one side, data mining can be put to work to analyse these data, with the purpose of producing useful knowledge in support of sustainable mobility and intelligent transportation systems. On the other side, individual privacy is at risk, as the mobility data may reveal, if .