Proceedings of the 21st International Conference on Association Francophone d'Interaction Homme-Machine
QoS Browsing for Web Service Selection
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Unsupervised pattern recognition models for mixed feature-type symbolic data
Pattern Recognition Letters
Dynamic clustering of interval-valued data based on adaptive quadratic distances
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A robust method for linear regression of symbolic interval data
Pattern Recognition Letters
A partitioning method for symbolic interval data based on kernelized metric
Proceedings of the 20th ACM international conference on Information and knowledge management
Standardization of interval symbolic data based on the empirical descriptive statistics
Computational Statistics & Data Analysis
Dissimilarity criteria in hierarchical clustering for interval-valued functional data
International Journal of Knowledge Engineering and Soft Data Paradigms
Dissimilarity measures and divisive clustering for symbolic multimodal-valued data
Computational Statistics & Data Analysis
Scatter/Gather browsing of web service QoS data
Future Generation Computer Systems
Adaptation of interval PCA to symbolic histogram variables
Advances in Data Analysis and Classification
Partially identified prevalence estimation under misclassification using the kappa coefficient
International Journal of Approximate Reasoning
Fuzzy Kohonen clustering networks for interval data
Neurocomputing
Robust regression with application to symbolic interval data
Engineering Applications of Artificial Intelligence
Using weighted clustering and symbolic data to evaluate institutes’s scientific production
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
A weighted learning vector quantization approach for interval data
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Clustering interval data through kernel-induced feature space
Journal of Intelligent Information Systems
Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices
Fuzzy Sets and Systems
User-centered design of a QoS-based web service selection system
Service Oriented Computing and Applications
Model-based clustering of probability density functions
Advances in Data Analysis and Classification
A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data
Expert Systems with Applications: An International Journal
Neurocomputing
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Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such data. Symbolic data methods differ from that of data mining, for example, because rather than identifying points of interest in the data, symbolic data methods allow the user to build models of the data and make predictions about future events. This book is the result of the work f a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. It includes a full explanation of the new SODAS software developed as a result of this project. The software and methods described highlight the crossover between statistics and computer science, with a particular emphasis on data mining.