spatial co location pattern mining de kiran kumar (7 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 120 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kiran Kumar G.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 Dat.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.