Many researchers throughout the world have been struggling to better understand and describe Spatial Data Infrastructures (SDIs). Our knowledge of the real forces and mechanisms b...
ng the Accessor Classification Approach to Detect Abstract Data Types icle presents an approach to identify abstract data types (ADTs) in source code. For each structured type deļ...
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and prote...