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Urban and population growth results in increasing pressure on the public utilities like transport, energy, healthcare services, crime management and emergency services in the realm of smart city manag...
CyberC– International Conference on Cyber-enabled distributed computing and knowledge discoveryis to promote research and collaboration on the cyber-related technology.
Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data se...
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery will take place in Skopje, Macedonia, September 18–22, 2017. This event is the premier European machine l...
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of knowledge discovery and data mining (KDD). It provides an international...
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
Car navigation systems are discussed in this study in terms of knowledge discovery, data mining and data quality. Since data, information and knowledge are inseparable levels of human cognition, integ...
Forests play an important role for sustaining the natural environment of human living. Forest fires not only destroy natural environment and ecological equivalence, but also threaten security of life...
A growing attention has been paid to spatial data mining and knowledge discovery (SDMKD). This paper presents the principles of SDMKD, proposes three new techniques, and gives their applicability and ...
SDMKD (Spatial Data Mining and Knowledge Discovery) from GIS database is different from the general DMKD (Data Mining and Knowledge Discovery), which is dominated by properties of geographical spatial...
After given a brief introduction on spatial data mining, the knowledge of river structure and the relations between mainstreams and branches were discussed. Some parameters were imported as characteri...
Although uncertainties exist in spatial knowledge discovery, they have not been paid much attention to. In the past years, the most researches of spatial knowledge discovery focused on the methods of ...
With the application and development of science and technology, the tremendous amount of spatial and nonspatial data have been stored in large spatial data bases. Analysing them for decision is badly ...
The continuous increase in the size of the archives and in the variety and complexity of Earth-Observation (EO) sensors require new methodologies and tools that allow the end-user to access a large i...
COMPREHENSIVE KNOWLEDGE DISCOVERY: THEORY, CONCEPT AND APPLICATION.

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