Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson |
Autore | Dasu Tamraparni |
Pubbl/distr/stampa | New York, : Wiley-Interscience, 2003 |
Descrizione fisica | 1 online resource (226 p.) |
Disciplina |
005.741
006.3 006.312 |
Altri autori (Persone) | JohnsonTheodore |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Data mining
Electronic data processing - Data preparation Electronic data processing - Quality control |
ISBN |
1-280-36625-7
9786610366255 0-470-30781-1 0-471-45864-3 0-471-44835-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Exploratory Data Mining and Data Cleaning; Contents; Preface; 1. Exploratory Data Mining and Data Cleaning: An Overview; 1.1 Introduction; 1.2 Cautionary Tales; 1.3 Taming the Data; 1.4 Challenges; 1.5 Methods; 1.6 EDM; 1.6.1 EDM Summaries-Parametric; 1.6.2 EDM Summaries-Nonparametric; 1.7 End-to-End Data Quality (DQ); 1.7.1 DQ in Data Preparation; 1.7.2 EDM and Data Glitches; 1.7.3 Tools for DQ; 1.7.4 End-to-End DQ: The Data Quality Continuum; 1.7.5 Measuring Data Quality; 1.8 Conclusion; 2. Exploratory Data Mining; 2.1 Introduction; 2.2 Uncertainty; 2.2.1 Annotated Bibliography
2.3 EDM: Exploratory Data Mining2.4 EDM Summaries; 2.4.1 Typical Values; 2.4.2 Attribute Variation; 2.4.3 Example; 2.4.4 Attribute Relationships; 2.4.5 Annotated Bibliography; 2.5 What Makes a Summary Useful?; 2.5.1 Statistical Properties; 2.5.2 Computational Criteria; 2.5.3 Annotated Bibliography; 2.6 Data-Driven Approach-Nonparametric Analysis; 2.6.1 The Joy of Counting; 2.6.2 Empirical Cumulative Distribution Function (ECDF); 2.6.3 Univariate Histograms; 2.6.4 Annotated Bibliography; 2.7 EDM in Higher Dimensions; 2.8 Rectilinear Histograms; 2.9 Depth and Multivariate Binning 2.9.1 Data Depth2.9.2 Aside: Depth-Related Topics; 2.9.3 Annotated Bibliography; 2.10 Conclusion; 3. Partitions and Piecewise Models; 3.1 Divide and Conquer; 3.1.1 Why Do We Need Partitions?; 3.1.2 Dividing Data; 3.1.3 Applications of Partition-Based EDM Summaries; 3.2 Axis-Aligned Partitions and Data Cubes; 3.2.1 Annotated Bibliography; 3.3 Nonlinear Partitions; 3.3.1 Annotated Bibliography; 3.4 DataSpheres (DS); 3.4.1 Layers; 3.4.2 Data Pyramids; 3.4.3 EDM Summaries; 3.4.4 Annotated Bibliography; 3.5 Set Comparison Using EDM Summaries; 3.5.1 Motivation; 3.5.2 Comparison Strategy 3.5.3 Statistical Tests for Change3.5.4 Application-Two Case Studies; 3.5.5 Annotated Bibliography; 3.6 Discovering Complex Structure in Data with EDM Summaries; 3.6.1 Exploratory Model Fitting in Interactive Response Time; 3.6.2 Annotated Bibliography; 3.7 Piecewise Linear Regression; 3.7.1 An Application; 3.7.2 Regression Coefficients; 3.7.3 Improvement in Fit; 3.7.4 Annotated Bibliography; 3.8 One-Pass Classification; 3.8.1 Quantile-Based Prediction with Piecewise Models; 3.8.2 Simulation Study; 3.8.3 Annotated Bibliography; 3.9 Conclusion; 4. Data Quality; 4.1 Introduction 4.2 The Meaning of Data Quality4.2.1 An Example; 4.2.2 Data Glitches; 4.2.3 Conventional Definition of DQ; 4.2.4 Times Have Changed; 4.2.5 Annotated Bibliography; 4.3 Updating DQ Metrics: Data Quality Continuum; 4.3.1 Data Gathering; 4.3.2 Data Delivery; 4.3.3 Data Monitoring; 4.3.4 Data Storage; 4.3.5 Data Integration; 4.3.6 Data Retrieval; 4.3.7 Data Mining/Analysis; 4.3.8 Annotated Bibliography; 4.4 The Meaning of Data Quality Revisited; 4.4.1 Data Interpretation; 4.4.2 Data Suitability; 4.4.3 Dataset Type; 4.4.4 Attribute Type; 4.4.5 Application Type 4.4.6 Data Quality-A Many Splendored Thing |
Record Nr. | UNINA-9910829874403321 |
Dasu Tamraparni | ||
New York, : Wiley-Interscience, 2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Exploratory data mining and data cleaning [[electronic resource] /] / Tamraparni Dasu, Theorodre Johnson |
Autore | Dasu Tamraparni |
Pubbl/distr/stampa | New York, : Wiley-Interscience, 2003 |
Descrizione fisica | 1 online resource (226 p.) |
Disciplina |
005.741
006.3 006.312 |
Altri autori (Persone) | JohnsonTheodore |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Data mining
Electronic data processing - Data preparation Electronic data processing - Quality control |
ISBN |
1-280-36625-7
9786610366255 0-470-30781-1 0-471-45864-3 0-471-44835-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Exploratory Data Mining and Data Cleaning; Contents; Preface; 1. Exploratory Data Mining and Data Cleaning: An Overview; 1.1 Introduction; 1.2 Cautionary Tales; 1.3 Taming the Data; 1.4 Challenges; 1.5 Methods; 1.6 EDM; 1.6.1 EDM Summaries-Parametric; 1.6.2 EDM Summaries-Nonparametric; 1.7 End-to-End Data Quality (DQ); 1.7.1 DQ in Data Preparation; 1.7.2 EDM and Data Glitches; 1.7.3 Tools for DQ; 1.7.4 End-to-End DQ: The Data Quality Continuum; 1.7.5 Measuring Data Quality; 1.8 Conclusion; 2. Exploratory Data Mining; 2.1 Introduction; 2.2 Uncertainty; 2.2.1 Annotated Bibliography
2.3 EDM: Exploratory Data Mining2.4 EDM Summaries; 2.4.1 Typical Values; 2.4.2 Attribute Variation; 2.4.3 Example; 2.4.4 Attribute Relationships; 2.4.5 Annotated Bibliography; 2.5 What Makes a Summary Useful?; 2.5.1 Statistical Properties; 2.5.2 Computational Criteria; 2.5.3 Annotated Bibliography; 2.6 Data-Driven Approach-Nonparametric Analysis; 2.6.1 The Joy of Counting; 2.6.2 Empirical Cumulative Distribution Function (ECDF); 2.6.3 Univariate Histograms; 2.6.4 Annotated Bibliography; 2.7 EDM in Higher Dimensions; 2.8 Rectilinear Histograms; 2.9 Depth and Multivariate Binning 2.9.1 Data Depth2.9.2 Aside: Depth-Related Topics; 2.9.3 Annotated Bibliography; 2.10 Conclusion; 3. Partitions and Piecewise Models; 3.1 Divide and Conquer; 3.1.1 Why Do We Need Partitions?; 3.1.2 Dividing Data; 3.1.3 Applications of Partition-Based EDM Summaries; 3.2 Axis-Aligned Partitions and Data Cubes; 3.2.1 Annotated Bibliography; 3.3 Nonlinear Partitions; 3.3.1 Annotated Bibliography; 3.4 DataSpheres (DS); 3.4.1 Layers; 3.4.2 Data Pyramids; 3.4.3 EDM Summaries; 3.4.4 Annotated Bibliography; 3.5 Set Comparison Using EDM Summaries; 3.5.1 Motivation; 3.5.2 Comparison Strategy 3.5.3 Statistical Tests for Change3.5.4 Application-Two Case Studies; 3.5.5 Annotated Bibliography; 3.6 Discovering Complex Structure in Data with EDM Summaries; 3.6.1 Exploratory Model Fitting in Interactive Response Time; 3.6.2 Annotated Bibliography; 3.7 Piecewise Linear Regression; 3.7.1 An Application; 3.7.2 Regression Coefficients; 3.7.3 Improvement in Fit; 3.7.4 Annotated Bibliography; 3.8 One-Pass Classification; 3.8.1 Quantile-Based Prediction with Piecewise Models; 3.8.2 Simulation Study; 3.8.3 Annotated Bibliography; 3.9 Conclusion; 4. Data Quality; 4.1 Introduction 4.2 The Meaning of Data Quality4.2.1 An Example; 4.2.2 Data Glitches; 4.2.3 Conventional Definition of DQ; 4.2.4 Times Have Changed; 4.2.5 Annotated Bibliography; 4.3 Updating DQ Metrics: Data Quality Continuum; 4.3.1 Data Gathering; 4.3.2 Data Delivery; 4.3.3 Data Monitoring; 4.3.4 Data Storage; 4.3.5 Data Integration; 4.3.6 Data Retrieval; 4.3.7 Data Mining/Analysis; 4.3.8 Annotated Bibliography; 4.4 The Meaning of Data Quality Revisited; 4.4.1 Data Interpretation; 4.4.2 Data Suitability; 4.4.3 Dataset Type; 4.4.4 Attribute Type; 4.4.5 Application Type 4.4.6 Data Quality-A Many Splendored Thing |
Record Nr. | UNINA-9910840590803321 |
Dasu Tamraparni | ||
New York, : Wiley-Interscience, 2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Fault-tolerant search algorithms : reliable computation with unreliable information / / Ferdinando Cicalese |
Autore | Cicalese Ferdinando |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Heidelberg [Germany] : , : Springer, , 2013 |
Descrizione fisica | 1 online resource (xv, 207 pages) : illustrations |
Disciplina | 005.741 |
Collana | Monographs in Theoretical Computer Science. An EATCS Series |
Soggetto topico |
Fault-tolerant computing
Computer science - Mathematics Information theory Algorithms |
ISBN | 3-642-17327-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Prologue -- Fault-Tolerant Search à la Ulam-Rényi -- Adaptive vs. Nonadaptive Search -- Weighted Errors Over a General Channel -- Variations on a Theme of Ulam and Rényi -- Time-outs -- Broadcast and Learning -- References -- Index. |
Record Nr. | UNINA-9910437591603321 |
Cicalese Ferdinando | ||
Heidelberg [Germany] : , : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
IEEE Std 1159.3-2019 (Revision of IEEE Std 1159.3-2003) : IEEE Recommended Practice for Power Quality Data Interchange Format (PQDIF) / / IEEE |
Pubbl/distr/stampa | New York : , : IEEE, , 2019 |
Descrizione fisica | 1 online resource (185 pages) |
Disciplina | 005.741 |
Collana | IEEE Std |
Soggetto topico |
File processing (Computer science)
Information storage and retrieval systems Electric power distribution |
ISBN | 1-5044-5562-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
1159.3-2019 - IEEE Recommended Practice for Power Quality Data Interchange Format
IEEE Std 1159.3-2019 |
Record Nr. | UNINA-9910320660003321 |
New York : , : IEEE, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
IEEE Std 1159.3-2019 (Revision of IEEE Std 1159.3-2003) : IEEE Recommended Practice for Power Quality Data Interchange Format (PQDIF) / / IEEE |
Pubbl/distr/stampa | New York : , : IEEE, , 2019 |
Descrizione fisica | 1 online resource (185 pages) |
Disciplina | 005.741 |
Collana | IEEE Std |
Soggetto topico |
File processing (Computer science)
Information storage and retrieval systems Electric power distribution |
ISBN | 1-5044-5562-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
1159.3-2019 - IEEE Recommended Practice for Power Quality Data Interchange Format
IEEE Std 1159.3-2019 |
Record Nr. | UNISA-996577956903316 |
New York : , : IEEE, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Knowledge discovery process and methods : to enhance organizational performance / / edited by Kweku-Muata Osei-Bryson, Virginia Commonwealth University, School of Business, Corlane Barclay, University of Technology, Jamaica |
Edizione | [1st edition] |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , [2015] |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina |
005.74/1
005.741 |
Soggetto topico |
Database management
Database searching Data mining |
ISBN |
1-138-89425-7
0-429-16099-2 1-4822-1238-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Introduction; Chapter 2: Overview of Knowledge Discovery and Data Mining Process Models; Chapter 3: An Integrated Knowledge Discovery and Data Mining Process Model; Chapter 4: A Novel Method for Formulating the Business Objectives of Data Mining Projects; Chapter 5: The Application of the Business Understanding Phase of the CRISP-DM Approach to a Knowledge Discovery Project on Education; Chapter 6: A Context-Aware Framework for Supporting the Evaluation of Data Mining Results
Chapter 7: Issues and Considerations in the Application of Data Mining in BusinessChapter 8: The Importance of Data Quality Assurance to the Data Analysis Activities of the Data Mining Process; Chapter 9: Critical Success Factors in Knowledge Discovery and Data Mining Projects; Chapter 10: Data Mining for Organizations: Challenges and Opportunities for Small Developing States; Chapter 11: Determining Sources of Relative Inefficiency in Heterogeneous Samples Using Multiple Data Analytic Techniques; Chapter 12: Applications of Data Mining in Organizational Behavior Chapter 13: Decision Making and Decision Styles of Project Managers: A Preliminary Exploration Using Data Mining TechniquesChapter 14: Application of the CRISP-DM Model in Predicting High School Students' Examination (CSEC/CXC) Performance; Chapter 15: Post-Pruning in Decision Tree Induction Using Multiple Performance Measures; Chapter 16: Selecting Classifiers for an Ensemble-An Integrated Ensemble Generation Procedure; Chapter 17: A New Feature Selection Technique Applied to Credit Scoring Data Using a Rank Aggregation Approach Based on Optimization, Genetic Algorithm, and Similarity Back Cover |
Record Nr. | UNINA-9910788168803321 |
Boca Raton, Florida : , : CRC Press, , [2015] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Knowledge discovery process and methods : to enhance organizational performance / / edited by Kweku-Muata Osei-Bryson, Virginia Commonwealth University, School of Business, Corlane Barclay, University of Technology, Jamaica |
Edizione | [1st edition] |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , [2015] |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina |
005.74/1
005.741 |
Soggetto topico |
Database management
Database searching Data mining |
ISBN |
1-138-89425-7
0-429-16099-2 1-4822-1238-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Introduction; Chapter 2: Overview of Knowledge Discovery and Data Mining Process Models; Chapter 3: An Integrated Knowledge Discovery and Data Mining Process Model; Chapter 4: A Novel Method for Formulating the Business Objectives of Data Mining Projects; Chapter 5: The Application of the Business Understanding Phase of the CRISP-DM Approach to a Knowledge Discovery Project on Education; Chapter 6: A Context-Aware Framework for Supporting the Evaluation of Data Mining Results
Chapter 7: Issues and Considerations in the Application of Data Mining in BusinessChapter 8: The Importance of Data Quality Assurance to the Data Analysis Activities of the Data Mining Process; Chapter 9: Critical Success Factors in Knowledge Discovery and Data Mining Projects; Chapter 10: Data Mining for Organizations: Challenges and Opportunities for Small Developing States; Chapter 11: Determining Sources of Relative Inefficiency in Heterogeneous Samples Using Multiple Data Analytic Techniques; Chapter 12: Applications of Data Mining in Organizational Behavior Chapter 13: Decision Making and Decision Styles of Project Managers: A Preliminary Exploration Using Data Mining TechniquesChapter 14: Application of the CRISP-DM Model in Predicting High School Students' Examination (CSEC/CXC) Performance; Chapter 15: Post-Pruning in Decision Tree Induction Using Multiple Performance Measures; Chapter 16: Selecting Classifiers for an Ensemble-An Integrated Ensemble Generation Procedure; Chapter 17: A New Feature Selection Technique Applied to Credit Scoring Data Using a Rank Aggregation Approach Based on Optimization, Genetic Algorithm, and Similarity Back Cover |
Record Nr. | UNINA-9910800185203321 |
Boca Raton, Florida : , : CRC Press, , [2015] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Knowledge discovery process and methods : to enhance organizational performance / / edited by Kweku-Muata Osei-Bryson, Virginia Commonwealth University, School of Business, Corlane Barclay, University of Technology, Jamaica |
Edizione | [1st edition] |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , [2015] |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina |
005.74/1
005.741 |
Soggetto topico |
Database management
Database searching Data mining |
ISBN |
1-138-89425-7
0-429-16099-2 1-4822-1238-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Introduction; Chapter 2: Overview of Knowledge Discovery and Data Mining Process Models; Chapter 3: An Integrated Knowledge Discovery and Data Mining Process Model; Chapter 4: A Novel Method for Formulating the Business Objectives of Data Mining Projects; Chapter 5: The Application of the Business Understanding Phase of the CRISP-DM Approach to a Knowledge Discovery Project on Education; Chapter 6: A Context-Aware Framework for Supporting the Evaluation of Data Mining Results
Chapter 7: Issues and Considerations in the Application of Data Mining in BusinessChapter 8: The Importance of Data Quality Assurance to the Data Analysis Activities of the Data Mining Process; Chapter 9: Critical Success Factors in Knowledge Discovery and Data Mining Projects; Chapter 10: Data Mining for Organizations: Challenges and Opportunities for Small Developing States; Chapter 11: Determining Sources of Relative Inefficiency in Heterogeneous Samples Using Multiple Data Analytic Techniques; Chapter 12: Applications of Data Mining in Organizational Behavior Chapter 13: Decision Making and Decision Styles of Project Managers: A Preliminary Exploration Using Data Mining TechniquesChapter 14: Application of the CRISP-DM Model in Predicting High School Students' Examination (CSEC/CXC) Performance; Chapter 15: Post-Pruning in Decision Tree Induction Using Multiple Performance Measures; Chapter 16: Selecting Classifiers for an Ensemble-An Integrated Ensemble Generation Procedure; Chapter 17: A New Feature Selection Technique Applied to Credit Scoring Data Using a Rank Aggregation Approach Based on Optimization, Genetic Algorithm, and Similarity Back Cover |
Record Nr. | UNINA-9910808377003321 |
Boca Raton, Florida : , : CRC Press, , [2015] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Knowledge Science, Engineering and Management [[electronic resource] ] : First International Conference, KSEM 2006, Guilin, China, August 5-8, 2006, Proceedings / / edited by Jérôme Lang, Fangzhen Lin, Ju Wang |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Descrizione fisica | 1 online resource (XVI, 664 p.) |
Disciplina | 005.741 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Data structures (Computer science)
Artificial intelligence Information storage and retrieval Application software Database management Pattern recognition Data Structures and Information Theory Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Pattern Recognition |
ISBN | 3-540-37035-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Talks -- On Representational Issues About Combinations of Classical Theories with Nonmonotonic Rules -- Towards a Software/Knowware Co-engineering -- Modeling and Evaluation of Technology Creation Process in Academia -- Knowledge Management Systems (KMS) Continuance in Organizations: A Social Relational Perspective -- Regular Papers -- Modelling the Interaction Between Objects: Roles as Affordances -- Knowledge Acquisition for Diagnosis in Cellular Networks Based on Bayesian Networks -- Building Conceptual Knowledge for Managing Learning Paths in e-Learning -- Measuring Similarity in the Semantic Representation of Moving Objects in Video -- A Case Study for CTL Model Update -- Modeling Strategic Beliefs with Outsmarting Belief Systems -- Marker-Passing Inference in the Scone Knowledge-Base System -- Hyper Tableaux — The Third Version -- A Service-Oriented Group Awareness Model and Its Implementation -- An Outline of a Formal Ontology of Genres -- An OWL-Based Approach for RBAC with Negative Authorization -- LCS: A Linguistic Combination System for Ontology Matching -- Framework for Collaborative Knowledge Sharing and Recommendation Based on Taxonomic Partial Reputations -- On Text Mining Algorithms for Automated Maintenance of Hierarchical Knowledge Directory -- Using Word Clusters to Detect Similar Web Documents -- Construction of Concept Lattices Based on Indiscernibility Matrices -- Selection of Materialized Relations in Ontology Repository Management System -- Combining Topological and Directional Information: First Results -- Measuring Conflict Between Possibilistic Uncertain Information Through Belief Function Theory -- WWW Information Integration Oriented Classification Ontology Integrating Approach -- Configurations for Inference Between Causal Statements -- Taking Levi Identity Seriously: A Plea for Iterated Belief Contraction -- Description and Generation of Computational Agents -- Knowledge Capability: A Definition and Research Model -- Quota-Based Merging Operators for Stratified Knowledge Bases -- Enumerating Minimal Explanations by Minimal Hitting Set Computation -- Observation-Based Logic of Knowledge, Belief, Desire and Intention -- Repairing Inconsistent XML Documents -- A Framework for Automated Test Generation in Intelligent Tutoring Systems -- A Study on Knowledge Creation Support in a Japanese Research Institute -- Identity Conditions for Ontological Analysis -- Knowledge Update in a Knowledge-Based Dynamic Scheduling Decision System -- Knowledge Contribution in the Online Virtual Community: Capability and Motivation -- Effective Large Scale Ontology Mapping -- A Comparative Study on Representing Units in Chinese Text Clustering -- A Description Method of Ontology Change Management Using Pi-Calculus -- On Constructing Environment Ontology for Semantic Web Services -- Knowledge Reduction in Incomplete Systems Based on ?–Tolerance Relation -- An Extension Rule Based First-Order Theorem Prover -- An Extended Meta-model for Workflow Resource Model -- Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems -- A Novel Maximum Distribution Reduction Algorithm for Inconsistent Decision Tables -- An ICA-Based Multivariate Discretization Algorithm -- An Empirical Study of What Drives Users to Share Knowledge in Virtual Communities -- A Method for Evaluating the Knowledge Transfer Ability in Organization -- Information Extraction from Semi-structured Web Documents -- Si-SEEKER: Ontology-Based Semantic Search over Databases -- Efficient Computation of Multi-feature Data Cubes -- NKIMathE – A Multi-purpose Knowledge Management Environment for Mathematical Concepts -- Linguistic Knowledge Representation and Automatic Acquisition Based on a Combination of Ontology with Statistical Method -- Toward Formalizing Usefulness in Propositional Language. |
Record Nr. | UNISA-996465595303316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Knowledge Science, Engineering and Management [[electronic resource] ] : First International Conference, KSEM 2006, Guilin, China, August 5-8, 2006, Proceedings / / edited by Jérôme Lang, Fangzhen Lin, Ju Wang |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Descrizione fisica | 1 online resource (XVI, 664 p.) |
Disciplina | 005.741 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Data structures (Computer science)
Artificial intelligence Information storage and retrieval Application software Database management Pattern recognition Data Structures and Information Theory Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Pattern Recognition |
ISBN | 3-540-37035-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Talks -- On Representational Issues About Combinations of Classical Theories with Nonmonotonic Rules -- Towards a Software/Knowware Co-engineering -- Modeling and Evaluation of Technology Creation Process in Academia -- Knowledge Management Systems (KMS) Continuance in Organizations: A Social Relational Perspective -- Regular Papers -- Modelling the Interaction Between Objects: Roles as Affordances -- Knowledge Acquisition for Diagnosis in Cellular Networks Based on Bayesian Networks -- Building Conceptual Knowledge for Managing Learning Paths in e-Learning -- Measuring Similarity in the Semantic Representation of Moving Objects in Video -- A Case Study for CTL Model Update -- Modeling Strategic Beliefs with Outsmarting Belief Systems -- Marker-Passing Inference in the Scone Knowledge-Base System -- Hyper Tableaux — The Third Version -- A Service-Oriented Group Awareness Model and Its Implementation -- An Outline of a Formal Ontology of Genres -- An OWL-Based Approach for RBAC with Negative Authorization -- LCS: A Linguistic Combination System for Ontology Matching -- Framework for Collaborative Knowledge Sharing and Recommendation Based on Taxonomic Partial Reputations -- On Text Mining Algorithms for Automated Maintenance of Hierarchical Knowledge Directory -- Using Word Clusters to Detect Similar Web Documents -- Construction of Concept Lattices Based on Indiscernibility Matrices -- Selection of Materialized Relations in Ontology Repository Management System -- Combining Topological and Directional Information: First Results -- Measuring Conflict Between Possibilistic Uncertain Information Through Belief Function Theory -- WWW Information Integration Oriented Classification Ontology Integrating Approach -- Configurations for Inference Between Causal Statements -- Taking Levi Identity Seriously: A Plea for Iterated Belief Contraction -- Description and Generation of Computational Agents -- Knowledge Capability: A Definition and Research Model -- Quota-Based Merging Operators for Stratified Knowledge Bases -- Enumerating Minimal Explanations by Minimal Hitting Set Computation -- Observation-Based Logic of Knowledge, Belief, Desire and Intention -- Repairing Inconsistent XML Documents -- A Framework for Automated Test Generation in Intelligent Tutoring Systems -- A Study on Knowledge Creation Support in a Japanese Research Institute -- Identity Conditions for Ontological Analysis -- Knowledge Update in a Knowledge-Based Dynamic Scheduling Decision System -- Knowledge Contribution in the Online Virtual Community: Capability and Motivation -- Effective Large Scale Ontology Mapping -- A Comparative Study on Representing Units in Chinese Text Clustering -- A Description Method of Ontology Change Management Using Pi-Calculus -- On Constructing Environment Ontology for Semantic Web Services -- Knowledge Reduction in Incomplete Systems Based on ?–Tolerance Relation -- An Extension Rule Based First-Order Theorem Prover -- An Extended Meta-model for Workflow Resource Model -- Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems -- A Novel Maximum Distribution Reduction Algorithm for Inconsistent Decision Tables -- An ICA-Based Multivariate Discretization Algorithm -- An Empirical Study of What Drives Users to Share Knowledge in Virtual Communities -- A Method for Evaluating the Knowledge Transfer Ability in Organization -- Information Extraction from Semi-structured Web Documents -- Si-SEEKER: Ontology-Based Semantic Search over Databases -- Efficient Computation of Multi-feature Data Cubes -- NKIMathE – A Multi-purpose Knowledge Management Environment for Mathematical Concepts -- Linguistic Knowledge Representation and Automatic Acquisition Based on a Combination of Ontology with Statistical Method -- Toward Formalizing Usefulness in Propositional Language. |
Record Nr. | UNINA-9910484941403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|