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Advances in Knowledge Discovery and Management : Volume 5 / / edited by Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed
| Advances in Knowledge Discovery and Management : Volume 5 / / edited by Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVIII, 137 p. 40 illus., 29 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Operations research Decision making Computational Intelligence Artificial Intelligence Operations Research/Decision Theory |
| ISBN | 3-319-23751-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Structure of the Book -- Acknowledgments -- Review Committee -- Associated Reviewers -- Contents -- Editors and Contributors -- Part IApplications of KDMto Real Datasets -- A Study of the Spatio-Temporal Correlations in Mobile Calls Networks -- 1 Introduction -- 2 Antenna Clustering Based on Mobile Calls -- 2.1 Related Works -- 2.2 Applying the MODL Approach -- 3 Analysis of the Spatial Correlations -- 3.1 A Countrywide Analysis -- 3.2 A Local Analysis -- 4 Spatio-Temporal Analysis -- 5 Conclusion -- References -- Co-Clustering Network-Constrained Trajectory Data -- 1 Introduction -- 2 Clustering Approaches -- 2.1 Clustering the Projected Trajectory and Segment Graphs -- 2.2 Direct Co-Clustering of the Bipartite Graph -- 3 Experimental Study -- 3.1 Experimental Setting -- 3.2 Analysis of Trajectory Clusters -- 3.3 Mutual Analysis of Trajectory and Segment Clusters -- 4 Related Work -- 5 Conclusions -- References -- Medical Discourse and Subjectivity -- 1 Introduction -- 2 Building and Preparation of Material -- 2.1 Corpora -- 2.2 Resources -- 3 Method -- 3.1 Linguistic and Semantic Annotation of Corpora -- 3.2 Automatic Categorization -- 4 Presentation and Discussion of Results -- 4.1 Annotation and Its Evaluation -- 4.2 Automatic Categorization -- 5 Conclusion and Future Work -- References -- Part IIFoundations of KDM -- Relational Concept Analysis for Relational Data Exploration -- 1 Introduction -- 2 Formal Concept Analysis -- 3 RCA and Its Extension for Exploratory Analysis -- 3.1 Relational Concept Analysis -- 3.2 Exploratory Relational Concept Analysis -- 4 Exploration Examples -- 4.1 Exploring Links Between Traits and Physico-Chemical Parameters -- 4.2 Focusing on Specific Relations -- 5 Related Work -- 6 Discussion and Conclusion -- References.
Dynamic Recommender System: Using Cluster-Based Biases to Improve the Accuracy of the Predictions -- 1 Introduction -- 2 Preliminaries -- 2.1 Prediction Issue -- 2.2 Matrix Factorization -- 2.3 Biased MF -- 2.4 Dynamicity and Performance Requirements -- 3 Dynamic Recommendations -- 3.1 Why Clustering? -- 3.2 The CBMF Model -- 3.3 Integration of Incoming Ratings -- 3.4 Complexity Analysis -- 4 Experimental Evaluation -- 4.1 Implementation and Experimental Setup -- 4.2 Datasets -- 4.3 Initial Quality -- 4.4 Large Training Sets Improve Quality -- 4.5 Quantifying the Need for Online Integration -- 4.6 Robustness to Time of Our Online Integration Model -- 4.7 Quality Versus Performance Tradeoff for Online Integration -- 4.8 Benefit of Refactorization -- 5 Related Work -- 6 Conclusion -- References -- Mining (Soft-) Skypatterns Using Constraint Programming -- 1 Introduction -- 2 The Skypattern Mining Problem -- 2.1 Context and Definitions -- 2.2 Skypatterns -- 3 The Soft Skypattern Mining Problem -- 3.1 Edge-Skypatterns -- 3.2 δ-Skypatterns -- 4 Mining (Soft-) Skypatterns Using CP -- 4.1 CSP -- 4.2 Dynamic CSP -- 4.3 Mining Skypatterns Using Dynamic CSP -- 4.4 Example -- 4.5 Mining Soft Skypatterns Using Dynamic CSP -- 4.6 Pattern Encoding -- 4.7 Closedness Constraints -- 5 Related Work -- 6 Experimental Study -- 6.1 Experiments on UCI Benchmarks -- 6.2 Case Study: Discovering Toxicophores -- 7 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910254189303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Management : Volume 4 / / edited by Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed
| Advances in Knowledge Discovery and Management : Volume 4 / / edited by Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 175 p. 63 illus., 25 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-02999-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910299488203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||