Discovery science : 7th international conference, DS 2004 Padova, Italy, october 2-5, 2004 : proceedings
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| Autor Principal: | |
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| Autor Corporativo: | |
| Outros autores: | |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence
3245 |
| Sujets: | |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Discovery science, 7th international conference, DS 2004 Padova, Italy, october 2-5, 2004, proceedings, Einoshin Suzuki, Setsuo Arikawa (eds.), Berlin, Springer, 2004, 1 vol. (XIV-430 p.), Lecture notes in computer science, 3-540-23357-1 • Discovery Science, Texte imprimé, 9783662194126 |
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| 100 | 1 | |a Suzuki, Einoshin. | |
| 245 | 1 | 0 | |a Discovery science : |b 7th international conference, DS 2004 Padova, Italy, october 2-5, 2004 : proceedings |c [edited by] Einoshin Suzuki, Setsuo Arikawa. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 3245 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Long Papers -- Predictive Graph Mining -- An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases -- Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance -- Mining Noisy Data Streams via a Discriminative Model -- CorClass: Correlated Association Rule Mining for Classification -- Maximum a Posteriori Tree Augmented Naive Bayes Classifiers -- Improving Prediction of Distance-Based Outliers -- Detecting Outliers via Logical Theories and Its Data Complexity -- Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing -- Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach -- Constructive Inductive Learning Based on Meta-attributes -- Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection -- Extracting Positive Attributions from Scientific Papers -- Enhancing SVM with Visualization -- An Associative Information Retrieval Based on the Dependency of Term Co-occurrence -- On the Convergence of Incremental Knowledge Base Construction -- Privacy Problems with Anonymized Transaction Databases -- A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data -- Using the Computer to Study the Dynamics of the Handwriting Processes -- Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions -- Regular Papers -- Optimal Discovery of Subword Associations in Strings -- Tiling Databases -- A Clustering of Interestingness Measures -- Extracting Minimal and Closed Monotone DNF Formulas -- Characterizations of Multivalued Dependencies and Related Expressions -- Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class -- A New Clustering Algorithm Based On Cluster Validity Indices -- An Efficient Rules Induction Algorithm for Rough Set Classification -- Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models -- Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data -- Using WWW-Distribution of Words in Detecting Peculiar Web Pages -- DHT Facilitated Web Service Discovery Incorporating Semantic Annotation -- Discovering Relationships Among Catalogs -- Reasoning-Based Knowledge Extraction for Text Classification -- A Useful System Prototype for Intrusion Detection Architecture and Experiments -- Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem -- Seamlessly Supporting Combined Knowledge Discovery and Query Answering: A Case Study -- A Structuralist Approach Towards Computational Scientific Discovery -- Extracting Modal Implications and Equivalences from Cognitive Minds. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Informatique documentaire | ||
| 650 | |a Découvertes scientifiques | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Arikawa, Setsuo, |d 1941- |4 pbd | |
| 711 | 2 | |a International conference on discovery science |n (07 |d :2004 |c :Padoue, Italie). |4 aut | |
| 776 | 0 | |0 081199325 |t Discovery science |o 7th international conference, DS 2004 Padova, Italy, october 2-5, 2004 |o proceedings |f Einoshin Suzuki, Setsuo Arikawa (eds.) |c Berlin |n Springer |d 2004 |p 1 vol. (XIV-430 p.) |s Lecture notes in computer science |z 3-540-23357-1 | |
| 776 | 0 | |t Discovery Science |b Texte imprimé |z 9783662194126 | |
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