## Data Analysis, Learning Symbolic and Numeric Knowledge: Proceedings of the Conference on Data Analysis, Learning Symbolic and Numeric Knowledge, Antibes, September 11-14, 1989Proceedings of a conference on [title] held in Antibes in September, 1989. The papers discuss new advances in data analysis: modeling, multiway tables, textual data, detection of outliers, robustness and quality of solutions, etc., and in learning: abductive recovery and analogy, lattices and formal |

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### Contents

The next future of data analysis | 1 |

Least squares criterion for asymmetric dependence models in threeway | 15 |

Analyzing asymmetry of twowave twovariable panel with generalized | 29 |

Copyright | |

24 other sections not shown

### Common terms and phrases

algorithm application approach Artificial Intelligence associated attribute barycenter Benford's law bilinear bootstrap classification cluster coefficient collection rule column computing concept concept lattice condition conditional independence consider constraints context contingency table convex correlation correspondence analysis criteria data analysis defined denotes described descriptor distribution domain elements estimates evaluation function example expert systems FGRAMM formal concept analysis FORTRAN given graphical hierarchy independence graph individual influence function instance interaction knowledge base learning linear Machine Learning marginal Markov property matrix mean method metric criterion modalities multivariate objects observations obtained operator optimal outliers parameters partition points polygon possible preordonnance principal component principal component analysis probabilistic criterion problem procedure projection pursuit properties qualitative variables random regression relation representation sample smoothing space spline statistical structure subset symmetrical techniques theory typical values variance vector weight