Discovery Science [[electronic resource] ] : 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012, Proceedings / / edited by Jean-Gabriel Ganascia, Philippe Lenca, Jean-Marc Petit |
Edizione | [1st ed. 2012.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
Descrizione fisica | 1 online resource (XIV, 329 p. 77 illus.) |
Disciplina | 500 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Information storage and retrieval Application software Database management Data mining Algorithms Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity |
Soggetto genere / forma | Conference proceedings. |
ISBN | 3-642-33492-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Declarative Modeling for Machine Learning and Data Mining -- Recent Developments in Pattern Mining -- Exploring Sequential Data -- Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers -- Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting -- Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning -- Towards Finding Relational Redescriptions -- Descriptive Modeling of Systemic Banking Crises -- A Trim Distance between Positions in Nucleotide Sequences -- Data Squashing for HSV Subimages by an Autonomous Mobile Robot -- Cohesive Co-evolution Patterns in Dynamic Attributed Graphs -- Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming -- HCAC: Semi-supervised Hierarchical Clustering Using Confidence- Based Active Learning -- LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity -- Fast Approximation Algorithm for the 1-Median Problem -- Online Co-regularized Algorithms -- Fast Progressive Training of Mixture Models for Model Selection -- Including Spatial Relations and Scales within Sequential Pattern Extraction -- Predicting Ramp Events with a Stream-Based HMM Framework -- Burst Detection in a Sequence of Tweets Based on Information Diffusion Model -- Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction -- An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML -- Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search -- Enhancing Patent Expertise through Automatic Matching with Scientific Papers -- Soft Threshold Constraints for Pattern Mining. |
Record Nr. | UNISA-996465482103316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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New Frontiers in Applied Data Mining [[electronic resource] ] : PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2010. Revised Selected Papers / / edited by Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham Williams |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XII, 169 p. 58 illus.) |
Disciplina | 006.3/12 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Database management Information storage and retrieval Application software Data mining Pattern recognition Artificial Intelligence Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Pattern Recognition |
ISBN |
1-280-38812-9
9786613566041 3-642-14640-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The iZi Project: Easy Prototyping of Interesting Pattern Mining Algorithms -- CODE: A Data Complexity Framework for Imbalanced Datasets -- An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data -- Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains -- Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams -- Two Measures of Objective Novelty in Association Rule Mining -- PAKDD Data Mining Competition 2009: New Ways of Using Known Methods -- Feature Selection for Brain-Computer Interfaces -- Mining Protein Interactions from Text Using Convolution Kernels -- Missing Phrase Recovering by Combining Forward and Backward Phrase Translation Tables -- Automatic Extraction of Thai-English Term Translations and Synonyms from Medical Web using Iterative Candidate Generation with Association Measures -- Accurate Subsequence Matching on Data Stream under Time Warping Distance. |
Record Nr. | UNISA-996466424903316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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