Advances in intelligent data analysis VIII : 8th international symposium on intelligent data analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings / / Niall M. Adams, Celine Robardet, Arno Siebes, Jean-Francois Boulicaut (eds.) |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, 2009 |
Descrizione fisica | 1 online resource (XIII, 418 p.) |
Disciplina | 006.31222gerDNB |
Altri autori (Persone) |
AdamsNiall M. <1968->
RobardetCeline SiebesArno BoulicautJean-Francois |
Collana | Lecture notes in computer science |
Soggetto topico |
Mathematical statistics - Data processing
Expert systems (Computer science) |
ISBN | 3-642-03915-4 |
Classificazione |
DAT 703f
MAT 620f SS 4800 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees. |
Record Nr. | UNINA-9910483134103321 |
Berlin ; ; Heidelberg, : Springer-Verlag, 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Methods and models in statistics [[electronic resource] ] : in honour of Professor John Nelder, FRS. / / editors Niall Adams ...[et al.] |
Pubbl/distr/stampa | London, : Imperial College Press, c2004 |
Descrizione fisica | 1 online resource (261 p.) |
Disciplina | 519.5 |
Altri autori (Persone) |
NelderJohn A
AdamsNiall M. <1968-> |
Soggetto topico |
Mathematical statistics
Probabilities |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-86647-4
9786611866471 1-86094-541-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Methods and Models in Statistics: In Hanour of Professor John Nelder, FRS; CONTENTS; 1. Preface N. M. Adams, M. J. Crowder, D. J. Hand, and D. A. Stephens; 2. Foreword J. A. Nelder; 3. John Nelder: From General Balance to Generalised Models (Both Linear and Hierarchical) S. Senn; 4. Some Remarkes on Model Criticism D. R. Cox; 5. Likelihood Perspectives in the Consensus and Controversies of Statistical Modelling and Inference Y. Pawitan; 6. Perspectives of ANOVA, REML and a General Linear Mixed Model B. R. Cullis, A. B. Smith and R. Thompson
7. Algorithms, Data Structures and Languages - the Computational Ingredients for Innovative Analysis R. Payne8. Non-Linear Regression Modelling and Inference J. C. Wakefield; 9. Selecting Amongst Large Classes of Models B. D. Ripley; 10. Principles of Designed Experiments in J. A. Nelder's Papers R. A. Bailey; 11. Likelihood-based Models Beyond GLMs Y. Lee; 12. A Statistical Examination of the Hastings Rarities J. A. Nelder; 13. The Works of John Nelder; INDEX |
Record Nr. | UNINA-9910450178203321 |
London, : Imperial College Press, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Methods and models in statistics [[electronic resource] ] : in honour of Professor John Nelder, FRS. / / editors Niall Adams ...[et al.] |
Pubbl/distr/stampa | London, : Imperial College Press, c2004 |
Descrizione fisica | 1 online resource (261 p.) |
Disciplina | 519.5 |
Altri autori (Persone) |
NelderJohn A
AdamsNiall M. <1968-> |
Soggetto topico |
Mathematical statistics
Probabilities |
ISBN |
1-281-86647-4
9786611866471 1-86094-541-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Methods and Models in Statistics: In Hanour of Professor John Nelder, FRS; CONTENTS; 1. Preface N. M. Adams, M. J. Crowder, D. J. Hand, and D. A. Stephens; 2. Foreword J. A. Nelder; 3. John Nelder: From General Balance to Generalised Models (Both Linear and Hierarchical) S. Senn; 4. Some Remarkes on Model Criticism D. R. Cox; 5. Likelihood Perspectives in the Consensus and Controversies of Statistical Modelling and Inference Y. Pawitan; 6. Perspectives of ANOVA, REML and a General Linear Mixed Model B. R. Cullis, A. B. Smith and R. Thompson
7. Algorithms, Data Structures and Languages - the Computational Ingredients for Innovative Analysis R. Payne8. Non-Linear Regression Modelling and Inference J. C. Wakefield; 9. Selecting Amongst Large Classes of Models B. D. Ripley; 10. Principles of Designed Experiments in J. A. Nelder's Papers R. A. Bailey; 11. Likelihood-based Models Beyond GLMs Y. Lee; 12. A Statistical Examination of the Hastings Rarities J. A. Nelder; 13. The Works of John Nelder; INDEX |
Record Nr. | UNINA-9910783482003321 |
London, : Imperial College Press, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Methods and models in statistics : in honour of Professor John Nelder, FRS. / / editors Niall Adams ...[et al.] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | London, : Imperial College Press, c2004 |
Descrizione fisica | 1 online resource (261 p.) |
Disciplina | 519.5 |
Altri autori (Persone) |
NelderJohn A
AdamsNiall M. <1968-> |
Soggetto topico |
Mathematical statistics
Probabilities |
ISBN |
1-281-86647-4
9786611866471 1-86094-541-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Methods and Models in Statistics: In Hanour of Professor John Nelder, FRS; CONTENTS; 1. Preface N. M. Adams, M. J. Crowder, D. J. Hand, and D. A. Stephens; 2. Foreword J. A. Nelder; 3. John Nelder: From General Balance to Generalised Models (Both Linear and Hierarchical) S. Senn; 4. Some Remarkes on Model Criticism D. R. Cox; 5. Likelihood Perspectives in the Consensus and Controversies of Statistical Modelling and Inference Y. Pawitan; 6. Perspectives of ANOVA, REML and a General Linear Mixed Model B. R. Cullis, A. B. Smith and R. Thompson
7. Algorithms, Data Structures and Languages - the Computational Ingredients for Innovative Analysis R. Payne8. Non-Linear Regression Modelling and Inference J. C. Wakefield; 9. Selecting Amongst Large Classes of Models B. D. Ripley; 10. Principles of Designed Experiments in J. A. Nelder's Papers R. A. Bailey; 11. Likelihood-based Models Beyond GLMs Y. Lee; 12. A Statistical Examination of the Hastings Rarities J. A. Nelder; 13. The Works of John Nelder; INDEX |
Record Nr. | UNINA-9910825281903321 |
London, : Imperial College Press, c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|