Quality Aspects in Spatial Data Mining Stein Alfred
Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data QualitySubstantial progress has been made toward developing effective techniques for spatial information processing in recent…
Specifikacia Quality Aspects in Spatial Data Mining Stein Alfred
Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data QualitySubstantial progress has been made toward developing effective techniques for spatial information processing in recent years. This science deals with models of reality in a GIS, however, and not with reality itself. Therefore, spatial information processes are often imprecise, allowing for much interpretation of abstract figures and data. Quality Aspects in Spatial Data Mining introduces practical and theoretical solutions for making sense of the often chaotic and overwhelming amount of concrete data available to researchers.In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover such essential areas as data acquisition, geoinformation theory, spatial statistics, and dissemination.
Spatial Data Mining Li Deren
Data Mining
Data Mining
Principles of Data Mining
Data Mining for Managers
Managing Data Quality
Data Mining Witten Ian H.
Learning Data Mining with Python
Data Mining Roiger Richard J.
Data Mining and Machine Learning
Web Data Mining - Liu Bing