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Advances in Multilingual and Multimodal Information Retrieval [[electronic resource] ] : 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers / / edited by Valentin Jijkoun, Thomas Mandl, Henning Müller, Douglas W. Oard, Vivien Petras, Diana Santos
| Advances in Multilingual and Multimodal Information Retrieval [[electronic resource] ] : 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers / / edited by Valentin Jijkoun, Thomas Mandl, Henning Müller, Douglas W. Oard, Vivien Petras, Diana Santos |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXI, 922 p.) |
| Disciplina | 025.04 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Natural language processing (Computer science)
Computational linguistics Information storage and retrieval systems Application software Data mining Artificial intelligence Natural Language Processing (NLP) Computational Linguistics Information Storage and Retrieval Computer and Information Systems Applications Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 3-540-85760-5 |
| Classificazione |
54.69
06.64 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | I: Multilingual Textual Document Retrieval (Ad Hoc) -- II: Domain-Specific Information Retrieval (Domain-Specific) -- III: Multiple Language Question Answering (QA@CLEF) -- IV: Cross-Language Retrieval in Image Collections (ImageCLEF) -- V: Cross-Language Speech Retrieval (CL-SR) -- VI: Multilingual Web Retrieval (WebCLEF) -- VII: Cross-Language Geographical Retrieval (GeoCLEF) -- VIII: CLEF in Other Evaluations. |
| Record Nr. | UNISA-996465745703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Multilingual and Multimodal Information Retrieval : 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers / / edited by Valentin Jijkoun, Thomas Mandl, Henning Müller, Douglas W. Oard, Vivien Petras, Diana Santos
| Advances in Multilingual and Multimodal Information Retrieval : 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers / / edited by Valentin Jijkoun, Thomas Mandl, Henning Müller, Douglas W. Oard, Vivien Petras, Diana Santos |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXI, 922 p.) |
| Disciplina | 025.04 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Natural language processing (Computer science)
Computational linguistics Information storage and retrieval systems Application software Data mining Artificial intelligence Natural Language Processing (NLP) Computational Linguistics Information Storage and Retrieval Computer and Information Systems Applications Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 3-540-85760-5 |
| Classificazione |
54.69
06.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | I: Multilingual Textual Document Retrieval (Ad Hoc) -- II: Domain-Specific Information Retrieval (Domain-Specific) -- III: Multiple Language Question Answering (QA@CLEF) -- IV: Cross-Language Retrieval in Image Collections (ImageCLEF) -- V: Cross-Language Speech Retrieval (CL-SR) -- VI: Multilingual Web Retrieval (WebCLEF) -- VII: Cross-Language Geographical Retrieval (GeoCLEF) -- VIII: CLEF in Other Evaluations. |
| Record Nr. | UNINA-9910484777303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clustering / / Rui Xu, Donald C. Wunsch II
| Clustering / / Rui Xu, Donald C. Wunsch II |
| Autore | Xu Rui |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE Press, , c2009 |
| Descrizione fisica | 1 online resource (370 p.) |
| Disciplina | 519.53 |
| Collana | IEEE Press Series on Computational Intelligence |
| Soggetto topico |
Cluster analysis
Multivariate analysis |
| ISBN |
1-281-93756-8
9786611937560 0-470-38277-5 0-470-38278-3 |
| Classificazione | 54.69 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING.
9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX. |
| Record Nr. | UNINA-9910144106503321 |
Xu Rui
|
||
| Piscataway, New Jersey : , : IEEE Press, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clustering / / Rui Xu, Donald C. Wunsch II
| Clustering / / Rui Xu, Donald C. Wunsch II |
| Autore | Xu Rui |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE Press, , c2009 |
| Descrizione fisica | 1 online resource (370 p.) |
| Disciplina | 519.53 |
| Collana | IEEE Press Series on Computational Intelligence |
| Soggetto topico |
Cluster analysis
Multivariate analysis |
| ISBN |
1-281-93756-8
9786611937560 0-470-38277-5 0-470-38278-3 |
| Classificazione | 54.69 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING.
9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX. |
| Record Nr. | UNISA-996206039003316 |
|
Xu Rui
|
||
| Piscataway, New Jersey : , : IEEE Press, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Clustering / / Rui Xu, Donald C. Wunsch II
| Clustering / / Rui Xu, Donald C. Wunsch II |
| Autore | Xu Rui |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE Press, , c2009 |
| Descrizione fisica | 1 online resource (370 p.) |
| Disciplina | 519.53 |
| Collana | IEEE Press Series on Computational Intelligence |
| Soggetto topico |
Cluster analysis
Multivariate analysis |
| ISBN |
1-281-93756-8
9786611937560 0-470-38277-5 0-470-38278-3 |
| Classificazione | 54.69 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING.
9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX. |
| Record Nr. | UNINA-9910830820703321 |
|
Xu Rui
|
||
| Piscataway, New Jersey : , : IEEE Press, , c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Clustering / / Rui Xu, Donald C. Wunsch, II ; IEEE Computational Intelligence Society, sponsor
| Clustering / / Rui Xu, Donald C. Wunsch, II ; IEEE Computational Intelligence Society, sponsor |
| Autore | Xu Rui |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley |
| Descrizione fisica | 1 online resource (370 p.) |
| Disciplina | 519.53 |
| Altri autori (Persone) | WunschDonald C |
| Collana | IEEE Press series on computational intelligence |
| Soggetto topico |
Cluster analysis
Multivariate analysis |
| ISBN |
1-281-93756-8
9786611937560 0-470-38277-5 0-470-38278-3 |
| Classificazione | 54.69 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
PREFACE -- 1. CLUSTER ANALYSIS -- 1.1. Classifi cation and Clustering -- 1.2. Defi nition of Clusters -- 1.3. Clustering Applications -- 1.4. Literature of Clustering Algorithms -- 1.5. Outline of the Book -- 2. PROXIMITY MEASURES -- 2.1. Introduction -- 2.2. Feature Types and Measurement Levels -- 2.3. Defi nition of Proximity Measures -- 2.4. Proximity Measures for Continuous Variables -- 2.5. Proximity Measures for Discrete Variables -- 2.6. Proximity Measures for Mixed Variables -- 2.7. Summary -- 3. HIERARCHICAL CLUSTERING. -- 3.1. Introduction -- 3.2. Agglomerative Hierarchical Clustering -- 3.3. Divisive Hierarchical Clustering -- 3.4. Recent Advances -- 3.5. Applications -- 3.6. Summary -- 4. PARTITIONAL CLUSTERING -- 4.1. Introduction -- 4.2. Clustering Criteria -- 4.3. K-Means Algorithm -- 4.4. Mixture Density-Based Clustering -- 4.5. Graph Theory-Based Clustering -- 4.6. Fuzzy Clustering -- 4.7. Search Techniques-Based Clustering Algorithms -- 4.8. Applications -- 4.9. Summary -- 5. NEURAL NETWORK-BASED CLUSTERING -- 5.1. Introduction -- 5.2. Hard Competitive Learning Clustering -- 5.3. Soft Competitive Learning Clustering -- 5.4. Applications -- 5.5. Summary -- 6. KERNEL-BASED CLUSTERING -- 6.1. Introduction -- 6.2. Kernel Principal Component Analysis -- 6.3. Squared-Error-Based Clustering with Kernel Functions -- 6.4. Support Vector Clustering -- 6.5. Applications -- 6.6. Summary -- 7. SEQUENTIAL DATA CLUSTERING -- 7.1. Introduction -- 7.2. Sequence Similarity -- 7.3. Indirect Sequence Clustering -- 7.4. Model-Based Sequence Clustering -- 7.5. Applications--Genomic and Biological Sequence -- 7.6. Summary -- 8. LARGE-SCALE DATA CLUSTERING -- 8.1. Introduction -- 8.2. Random Sampling Methods -- 8.3. Condensation-Based Methods -- 8.4. Density-Based Methods -- 8.5. Grid-Based Methods -- 8.6. Divide and Conquer -- 8.7. Incremental Clustering -- 8.8. Applications -- 8.9. Summary -- 9. DATA VISUALIZATION AND HIGH-DIMENSIONAL DATA CLUSTERING.
9.1. Introduction -- 9.2. Linear Projection Algorithms -- 9.3. Nonlinear Projection Algorithms -- 9.4. Projected and Subspace Clustering -- 9.5. Applications -- 9.6. Summary -- 10. CLUSTER VALIDITY -- 10.1. Introduction -- 10.2. External Criteria -- 10.3. Internal Criteria -- 10.4. Relative Criteria -- 10.5. Summary -- 11. CONCLUDING REMARKS -- PROBLEMS -- REFERENCES -- AUTHOR INDEX -- SUBJECT INDEX. |
| Record Nr. | UNINA-9910877709703321 |
|
Xu Rui
|
||
| Hoboken, N.J., : Wiley | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Service Availability [[electronic resource] ] : 5th International Service Availability Symposium, ISAS 2008 Tokyo, Japan, May 19-21, 2008 Proceedings / / edited by Takashi Nanya, Fumihiro Maruyama, Andras Pataricza, Miroslaw Malek
| Service Availability [[electronic resource] ] : 5th International Service Availability Symposium, ISAS 2008 Tokyo, Japan, May 19-21, 2008 Proceedings / / edited by Takashi Nanya, Fumihiro Maruyama, Andras Pataricza, Miroslaw Malek |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XII, 225 p.) |
| Disciplina | 005.1/4 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computers
Computer communication systems Application software Information storage and retrieval Software engineering Management information systems Computer science Theory of Computation Computer Communication Networks Information Systems Applications (incl. Internet) Information Storage and Retrieval Software Engineering Management of Computing and Information Systems |
| ISBN | 3-540-68129-9 |
| Classificazione | 54.69 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynotes -- The Italian e-Government Enterprise Architecture: A Comprehensive Introduction with Focus on the SLA Issue -- Challenges and Opportunities for Computer Science in Services Science -- Tutorials -- Predictive Algorithms and Technologies for Availability Enhancement -- Achieving and Assuring High Availability -- Enterprise System Dependability -- Optimizing Security Measures in an Intrusion Tolerant Database System -- The Impact of Unavailability on the Effectiveness of Enterprise Information Security Technologies -- Interaction Faults Caused by Third-Party External Systems — A Case Study and Challenges -- Software Service Availability -- User-Perceived Software Service Availability Modeling with Reliability Growth -- Execution Path Profiling for OS Device Drivers: Viability and Methodology -- Analysis of a Software System with Rejuvenation, Restoration and Checkpointing -- Service Availability Platform -- A Platform for Cooperative Server Backups Based on Virtual Machines -- Platform Management with SA Forum and Its Role to Achieve High Availability -- Automatic Generation of AMF Compliant Configurations -- Service Dependability Analysis -- Dependability Evaluation of a Replication Service for Mobile Applications in Dynamic Ad-Hoc Networks -- Ten Fallacies of Availability and Reliability Analysis -- Analytical Availability Assessment of IT Services. |
| Record Nr. | UNISA-996465590003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Service availability : 5th International Service Availability Symposium, ISAS 2008, Tokyo, Japan, May 19-21, 2008 : proceedings / / Takashi Nanya ... [et al.] (eds.)
| Service availability : 5th International Service Availability Symposium, ISAS 2008, Tokyo, Japan, May 19-21, 2008 : proceedings / / Takashi Nanya ... [et al.] (eds.) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2008 |
| Descrizione fisica | 1 online resource (XII, 225 p.) |
| Disciplina | 005.1/4 |
| Altri autori (Persone) | NanyaTakashi |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 3, Information systems and application, incl. Internet/Web, and HCI |
| Soggetto topico |
Computer networks - Management
Computer software - Quality control |
| ISBN | 3-540-68129-9 |
| Classificazione | 54.69 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynotes -- Tutorials -- Enterprise system dependability -- Software service availability -- Service availability platform -- Service dependability analysis. |
| Altri titoli varianti |
ISAS 2008
5th International Service Availability Symposium Fifth International Service Availability Symposium |
| Record Nr. | UNINA-9910483501103321 |
| Berlin ; ; New York, : Springer, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||