C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining: concepts and techniques
Data mining: concepts and techniques
Machine Learning
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Generalization and decision tree induction: efficient classification in data mining
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
| Hi-index | 0.00 |
In the urban/territorial planning process, the quality of the evaluation procedure is crucial. It is necessary to select and implement innovative tools able to handle the huge amount of available data concerning territorial systems in order to extract useful information from them to enhance the quality of evaluation procedure for urban/territorial planning. This paper selects some tools derived from Artificial Intelligence, and incorporated GIS through the elaboration of various types of available data, to extract and build knowledge directly from experimental data and also to represent the extracted knowledge very effectively and communicatively, in the form of sets of spatial transformation rules. It describes the structure of the data mining tools which are most suitable for applications in the field of urban planning, aimed at discovering the transformation rules driving the evolution of cities in special of metropolitan in analysis.