### Citations

1216 | Formal Concept Analysis. mathematical foundations - Ganter, Wille - 1998 |

516 | Principles of Data Mining. - Hand, Mannila, et al. - 2001 |

481 | Image Analysis: Principles and Applications”, - Soille, “Morphological - 1999 |

473 | Knowlege Discovery in Databases: An Overview.
- Frawley, Piatetsky-Shapiro, et al.
- 1991
(Show Context)
Citation Context ... Knowledge Discovery, Data Mining, Fuzzy Concept Analysis, Formal Concept Analysis, Fuzzy Mathematical Morphology, Fuzzy Relations. 1 The aim of the project The Knowledge Discovery in databases (KDD) =-=[1]-=- process consists of the automated extraction of patterns representing knowledge implicitly stored in large databases, date warehouses and other massive information repositories. It is considered that... |

58 | Fuzzy mathematical morphologies: A comparative study,
- Bloch, Maitre
- 1995
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Citation Context ... With this project it is tried to fulfil, in collaboration with the aforementioned ones, two new incorporations to that discipline list: the Mathematical Morphology (Crisp Theory [5] and Fuzzy Theory =-=[6]-=-, [7], [8]) and the Fuzzy Concept Analysis [9], [10]. Specifically, our main objective is to set up some mathematical models and its associate algorithms that allow to incorporate elements of the disc... |

10 |
Concept lattices defined from implication operators
- Burusco, Fuentes-Gonzáilez
- 2000
(Show Context)
Citation Context ...ollaboration with the aforementioned ones, two new incorporations to that discipline list: the Mathematical Morphology (Crisp Theory [5] and Fuzzy Theory [6], [7], [8]) and the Fuzzy Concept Analysis =-=[9]-=-, [10]. Specifically, our main objective is to set up some mathematical models and its associate algorithms that allow to incorporate elements of the disciplines: Fuzzy Concept Analysis, Fuzzy and Cri... |

10 |
Aggregation and Fusion of Imperfect Information,
- Bouchon-Meunier
- 1998
(Show Context)
Citation Context ...e mathematical models and its associate algorithms that allow to incorporate elements of the disciplines: Fuzzy Concept Analysis, Fuzzy and Crisp Mathematical Morphology, Aggregation Functions Theory =-=[11]-=-, and Fuzzy Relations Theory [13], in the following KDD steps: data cleaning, data grouping, data reduction and data mining. The attainment of this objective will suppose the incorporation of some new... |

9 |
Use of fuzzy relations in knowledge representation, acquisition and processing, b~ Fuzzy Logic for the Management of Uncertainty
- Kohout, Bandler
- 1992
(Show Context)
Citation Context ...ociate algorithms that allow to incorporate elements of the disciplines: Fuzzy Concept Analysis, Fuzzy and Crisp Mathematical Morphology, Aggregation Functions Theory [11], and Fuzzy Relations Theory =-=[13]-=-, in the following KDD steps: data cleaning, data grouping, data reduction and data mining. The attainment of this objective will suppose the incorporation of some new ideas and methods in processes o... |

4 | Generation of Fuzzy Mathematical Morphologies
- Burillo, Frago, et al.
(Show Context)
Citation Context ... this project it is tried to fulfil, in collaboration with the aforementioned ones, two new incorporations to that discipline list: the Mathematical Morphology (Crisp Theory [5] and Fuzzy Theory [6], =-=[7]-=-, [8]) and the Fuzzy Concept Analysis [9], [10]. Specifically, our main objective is to set up some mathematical models and its associate algorithms that allow to incorporate elements of the disciplin... |

4 |
Formale Begriffsanalyse mit unscharfen Begriffen.
- Umbreit
- 1994
(Show Context)
Citation Context ...oration with the aforementioned ones, two new incorporations to that discipline list: the Mathematical Morphology (Crisp Theory [5] and Fuzzy Theory [6], [7], [8]) and the Fuzzy Concept Analysis [9], =-=[10]-=-. Specifically, our main objective is to set up some mathematical models and its associate algorithms that allow to incorporate elements of the disciplines: Fuzzy Concept Analysis, Fuzzy and Crisp Mat... |

1 |
Data Mining. Concepts and Thecniques
- Han, Kamber
- 2001
(Show Context)
Citation Context ...sequence of the following steps: data cleaning, data integration ( data grouping and data reduction), data selection, data transformation, data mining, pattern evaluation and knowledge representation =-=[2]-=-. * Email: rfuentes@unavarra.esTIC2003-08693 At present time, the KDD process is a multidisciplinary field [3], drawing work from areas including database technology, artificial intelligence, machine... |

1 |
Mathematical Morphology Vol 1 and 2
- Serra
- 1982
(Show Context)
Citation Context ...d data visualization. With this project it is tried to fulfil, in collaboration with the aforementioned ones, two new incorporations to that discipline list: the Mathematical Morphology (Crisp Theory =-=[5]-=- and Fuzzy Theory [6], [7], [8]) and the Fuzzy Concept Analysis [9], [10]. Specifically, our main objective is to set up some mathematical models and its associate algorithms that allow to incorporate... |

1 |
Técnicas de Morfología Matemática en el tratamiento de Sistemas Relacionales Difusos. ESTYLF2002
- Fuentes-González, Burillo, et al.
- 2002
(Show Context)
Citation Context ...results obtained in the development of the activities of tasks 03 and 04 With regard to tasks 03 and 04, we have developed and extended the ideas that previously appeared outlined in a published work =-=[12]-=- by members of this group. The purpose of this work is the application of the Mathematical Morphology tools and methods to handle the useful and possibly hidden information of the fuzzy and crisp rela... |