Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 | ||
| ||
Data Warehousing and Knowledge Discovery [[electronic resource] ] : 11th International Conference, DaWaK 2009 Linz, Austria, August 31-September 2, 2009 Proceedings / / edited by Mukesh K. Mohania, A Min Tjoa
| Data Warehousing and Knowledge Discovery [[electronic resource] ] : 11th International Conference, DaWaK 2009 Linz, Austria, August 31-September 2, 2009 Proceedings / / edited by Mukesh K. Mohania, A Min Tjoa |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIV, 480 p.) |
| Disciplina | 006.31222gerDNB |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Information storage and retrieval Application software Computers Pattern recognition Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) Information Systems and Communication Service Pattern Recognition |
| Soggetto genere / forma |
Kongress.
Linz (2009) |
| ISBN | 3-642-03730-5 |
| Classificazione |
DAT 620f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- New Challenges in Information Integration -- Data Warehouse Modeling -- What Is Spatio-Temporal Data Warehousing? -- Towards a Modernization Process for Secure Data Warehouses -- Visual Modelling of Data Warehousing Flows with UML Profiles -- Data Streams -- CAMS: OLAPing Multidimensional Data Streams Efficiently -- Data Stream Prediction Using Incremental Hidden Markov Models -- History Guided Low-Cost Change Detection in Streams -- Physical Design -- HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data -- A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses -- Fast Loads and Fast Queries -- Pattern Mining -- TidFP: Mining Frequent Patterns in Different Databases with Transaction ID -- Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation -- Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling? -- A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets -- Data Cubes -- Efficient Online Aggregates in Dense-Region-Based Data Cube Representations -- BitCube: A Bottom-Up Cubing Engineering -- Exact and Approximate Sizes of Convex Datacubes -- Data Mining Applications -- Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures -- Customer Churn Prediction for Broadband Internet Services -- Mining High-Correlation Association Rules for Inferring Gene Regulation Networks -- Analytics -- Extend UDF Technology for Integrated Analytics -- High Performance Analytics with the R3-Cache -- Open Source BI Platforms: A Functional and Architectural Comparison -- Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing -- Data Mining -- Skyline View: Efficient Distributed Subspace Skyline Computation -- HDB-Subdue: A Scalable Approach to Graph Mining -- Mining Violations to Relax Relational Database Constraints -- Arguing from Experience to Classifying Noisy Data -- Clustering -- Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data -- The PDG-Mixture Model for Clustering -- Clustering for Video Retrieval -- Spatio-Temporal Mining -- Trends Analysis of Topics Based on Temporal Segmentation -- Finding N-Most Prevalent Colocated Event Sets -- Rule Mining -- Rule Learning with Probabilistic Smoothing -- Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model -- Olap Recommendation -- Recommending Multidimensional Queries -- Preference-Based Recommendations for OLAP Analysis. |
| Record Nr. | UNISA-996465567503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Data warehousing and knowledge discovery : 11th international conference, DaWaK 2009, Linz, Austria, August 31-September 2, 2009 : proceedings / / Torben Bach Pedersen, Mukesh K. Mohania, A Min Tjoa (eds.)
| Data warehousing and knowledge discovery : 11th international conference, DaWaK 2009, Linz, Austria, August 31-September 2, 2009 : proceedings / / Torben Bach Pedersen, Mukesh K. Mohania, A Min Tjoa (eds.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, c2009 |
| Descrizione fisica | 1 online resource (XIV, 480 p.) |
| Disciplina | 006.31222gerDNB |
| Altri autori (Persone) |
PedersenTorben Bach
MohaniaMukesh TjoaA Min |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data warehousing
Database searching Data mining |
| ISBN | 3-642-03730-5 |
| Classificazione |
DAT 620f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- New Challenges in Information Integration -- Data Warehouse Modeling -- What Is Spatio-Temporal Data Warehousing? -- Towards a Modernization Process for Secure Data Warehouses -- Visual Modelling of Data Warehousing Flows with UML Profiles -- Data Streams -- CAMS: OLAPing Multidimensional Data Streams Efficiently -- Data Stream Prediction Using Incremental Hidden Markov Models -- History Guided Low-Cost Change Detection in Streams -- Physical Design -- HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data -- A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses -- Fast Loads and Fast Queries -- Pattern Mining -- TidFP: Mining Frequent Patterns in Different Databases with Transaction ID -- Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation -- Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling? -- A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets -- Data Cubes -- Efficient Online Aggregates in Dense-Region-Based Data Cube Representations -- BitCube: A Bottom-Up Cubing Engineering -- Exact and Approximate Sizes of Convex Datacubes -- Data Mining Applications -- Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures -- Customer Churn Prediction for Broadband Internet Services -- Mining High-Correlation Association Rules for Inferring Gene Regulation Networks -- Analytics -- Extend UDF Technology for Integrated Analytics -- High Performance Analytics with the R3-Cache -- Open Source BI Platforms: A Functional and Architectural Comparison -- Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing -- Data Mining -- Skyline View: Efficient Distributed Subspace Skyline Computation -- HDB-Subdue: A Scalable Approach to Graph Mining -- Mining Violations to Relax Relational Database Constraints -- Arguing from Experience to Classifying Noisy Data -- Clustering -- Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data -- The PDG-Mixture Model for Clustering -- Clustering for Video Retrieval -- Spatio-Temporal Mining -- Trends Analysis of Topics Based on Temporal Segmentation -- Finding N-Most Prevalent Colocated Event Sets -- Rule Mining -- Rule Learning with Probabilistic Smoothing -- Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model -- Olap Recommendation -- Recommending Multidimensional Queries -- Preference-Based Recommendations for OLAP Analysis. |
| Altri titoli varianti | DaWaK 2009 |
| Record Nr. | UNINA-9910483258203321 |
| Berlin ; ; Heidelberg, : Springer-Verlag, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||