The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Machine Learning
The Evaluation of Predictive Learners: Some Theoretical and Empirical Results
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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Knowledge Discovery in Data Bases has been established as a promising area for dealing with the increased stored data that is been generated in our times. Finding good patterns or relations between attributes and data is not an easy task and requires a long, and often painful, process. This article describes the process followed to discover useful patterns on a real data base of road accidents. This article has two main purposes: (i) to present a documented case of a data mining process followed on a real data base with useful hints and lessons learned during the process, and (ii) to present the main results of road accidents in Mexico.