A Nearest Hyperrectangle Learning Method
Machine Learning
Control-Sensitive Feature Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Clustering Algorithms
Visual Explorations in Finance
Visual Explorations in Finance
Inside Case-Based Reasoning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
An Experimental Comparison of Supervised and Unsupervised Approaches to Text Summarization
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
STING: A Statistical Information Grid Approach to Spatial Data Mining
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A Systematic Approach to Multi-Stage Network Attack Analysis
IWIA '04 Proceedings of the Second IEEE International Information Assurance Workshop (IWIA'04)
The Knowledge Engineering Review
Case‐Based Reasoning: an overview
AI Communications
Application of Clustering Techniques in a Network Security Testing System
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
A hybrid system combining Self Organizing Maps with Case Based Reasoning in Structural Assessment
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Automatic classification of breast tissue
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Measuring the Applicability of Self-organization Maps in a Case-Based Reasoning System
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
When Similar Problems Don't Have Similar Solutions
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Methodology for Analyzing Case Retrieval from a Clustered Case Memory
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Retrieval Based on Self-explicative Memories
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Explanation of a Clustered Case Memory Organization
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Integration of a Methodology for Cluster-Based Retrieval in jColibri
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Self-managing associative memory for dynamic acquisition of expertise in high-level domains
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Cohesion factors: improving the clustering capabilities of consensus
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
jcolibri2: A framework for building Case-based reasoning systems
Science of Computer Programming
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There are problems that present a huge volume of information or/and complex data as imprecision and approximated knowledge. Consequently, a Case-Based Reasoning system requires two main characteristics. The first one consists of offering a good computational time without reducing the accuracy rate of the system, specially when the response time is critical. On the other hand, the system needs soft computing capabilities in order to construct CBR systems more tractable, robust and tolerant to noise. The goal of this paper is centred on achieving a compromise between computational time and complex data management by focusing on the case memory organization (or clustering) through unsupervised techniques. In this sense, we have adapted two approaches: 1) neural networks (Kohonen Maps); and 2) inductive learning (X-means). The results presented in this work are based on datasets acquired from medical and telematics domains, and also from UCI repository.