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Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
| Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIII, 418 p.) |
| Disciplina | 006.31222gerDNB |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computers
Information storage and retrieval Data mining Pattern recognition Data structures (Computer science) Information technology Business—Data processing Theory of Computation Information Storage and Retrieval Data Mining and Knowledge Discovery Pattern Recognition Data Structures IT in Business |
| Soggetto genere / forma |
Kongress.
Lyon (2008) |
| 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. | UNISA-996465760203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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.)
| 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 | ||
| ||
Understanding the new statistics : effect sizes, confidence intervals, and meta-analysis / / Geoff Cumming
| Understanding the new statistics : effect sizes, confidence intervals, and meta-analysis / / Geoff Cumming |
| Autore | Cumming Geoff |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York : , : Routledge, , 2012 |
| Descrizione fisica | 1 online resource (xiv, 537 p.) |
| Disciplina | 300.727 |
| Collana | Multivariate applications series |
| Soggetto topico |
Psychology, Experimental - Statistical methods
Multivariate analysis Confidence intervals |
| ISBN |
1-136-65918-8
1-136-65919-6 0-203-80700-6 |
| Classificazione |
MAT 620f
SK 850 MR 2100 QH 231 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Understanding The New Statistics Effect Sizes, Confidence Intervals, And Meta-Analysis; Copyright; Contents; Preface; 1. Introduction to The New Statistics; 2. From Null Hypothesis Significance Testing to Effect Sizes; 3. Confidence Intervals; 4. Confidence Intervals, Error Bars, and p Values; 5. Replication; 6. Two Simple Designs; 7. Meta-Analysis 1: Introduction and Forest Plots; 8. Meta-Analysis 2: Models; 9. Meta-Analysis 3: Larger-Scale Analyses; 10. The Noncentral t Distribution; 11. Cohen's d; 12. Power; 13. Precision for Planning
14. Correlations, Proportions, and Further Effect Size Measures15. More Complex Designs and The New Statistics in Practice; Glossary; Commentary on Selected Exercises; Appendices; References; Copyright Permissions; Author Index; Subject Index |
| Record Nr. | UNINA-9910779042503321 |
Cumming Geoff
|
||
| New York : , : Routledge, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Understanding the new statistics : effect sizes, confidence intervals, and meta-analysis / / Geoff Cumming
| Understanding the new statistics : effect sizes, confidence intervals, and meta-analysis / / Geoff Cumming |
| Autore | Cumming Geoff |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York, : Routledge, c2012 |
| Descrizione fisica | 1 online resource (xiv, 537 p.) |
| Disciplina | 300.727 |
| Collana | Multivariate applications series |
| Soggetto topico |
Psychology, Experimental - Statistical methods
Multivariate analysis Confidence intervals |
| ISBN |
1-136-65918-8
1-136-65919-6 0-203-80700-6 |
| Classificazione |
MAT 620f
SK 850 MR 2100 QH 231 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Understanding The New Statistics Effect Sizes, Confidence Intervals, And Meta-Analysis; Copyright; Contents; Preface; 1. Introduction to The New Statistics; 2. From Null Hypothesis Significance Testing to Effect Sizes; 3. Confidence Intervals; 4. Confidence Intervals, Error Bars, and p Values; 5. Replication; 6. Two Simple Designs; 7. Meta-Analysis 1: Introduction and Forest Plots; 8. Meta-Analysis 2: Models; 9. Meta-Analysis 3: Larger-Scale Analyses; 10. The Noncentral t Distribution; 11. Cohen's d; 12. Power; 13. Precision for Planning
14. Correlations, Proportions, and Further Effect Size Measures15. More Complex Designs and The New Statistics in Practice; Glossary; Commentary on Selected Exercises; Appendices; References; Copyright Permissions; Author Index; Subject Index |
| Record Nr. | UNINA-9910824748203321 |
|
Cumming Geoff
|
||
| New York, : Routledge, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||