Spatial Co-location Pattern Mining - Kiran Kumar, G.; Kavati, Ilaiah
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This book explores the concepts of data mining that are extended to spatial data. Spatial data mining is the process to discover interesting and previous unknown, but potentially useful patterns from spatial datasets. Tasks of spatial data mining such as spatial clustering, spatial classification and spatial association are discussed. Three reference models such as reference feature centric model, Window centric model, Event centric model are studied. An integrated approach combining feature centric model and Event centric model is discussed. Mediod based technique and Delaunay triangulation methods are explored to discover colocation patterns.…mehr

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Produktbeschreibung
This book explores the concepts of data mining that are extended to spatial data. Spatial data mining is the process to discover interesting and previous unknown, but potentially useful patterns from spatial datasets. Tasks of spatial data mining such as spatial clustering, spatial classification and spatial association are discussed. Three reference models such as reference feature centric model, Window centric model, Event centric model are studied. An integrated approach combining feature centric model and Event centric model is discussed. Mediod based technique and Delaunay triangulation methods are explored to discover colocation patterns.
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Autorenporträt
Dr G Kiran Kumar is a Professor of CSE Dept. MLR Institute of Technology, Hyderabad. He obtained his PhD from ANU, India. He is having more than 15 years of experience. His current research is in Data Mining and Big Data.Dr Ilaiah Kavati is a Professor of CSE Dept. Anurag Group of Institutions, Hyderabad. He obtained his PhD from HCU, India.