Agents and Data Mining Interaction [[electronic resource] ] : 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers / / edited by Longbing Cao, A.E. Gorodetsky, Jiming Liu, Gerhard Weiß, Philip S. Yu |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (203 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Data mining
Artificial intelligence Computer communication systems Software engineering Computer logic Data Mining and Knowledge Discovery Artificial Intelligence Computer Communication Networks Software Engineering Logics and Meanings of Programs |
Soggetto genere / forma |
Budapest (2009)
Kongress. |
ISBN | 3-642-03603-1 |
Classificazione |
DAT 703f
DAT 709f SS 4800 ST 530 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Talks and Papers -- Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering -- Knowledge-Based Reinforcement Learning for Data Mining -- Ubiquitous Intelligence in Agent Mining -- Agents Based Data Mining and Decision Support System -- Agent-Driven Data Mining -- Agent-Enriched Data Mining Using an Extendable Framework -- Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging -- A Self-Organized Multiagent System for Intrusion Detection -- Towards Cooperative Predictive Data Mining in Competitive Environments -- Data Mining Driven Agents -- Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform -- Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study -- A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents -- Agent Mining Applications -- Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation -- Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach -- The Complex Dynamics of Sponsored Search Markets. |
Record Nr. | UNISA-996465858803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Agents and Data Mining Interaction : 4th International Workshop on Agents and Data Mining Interaction, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers / / edited by Longbing Cao, A.E. Gorodetsky, Jiming Liu, Gerhard Weiß, Philip S. Yu |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (203 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Data mining
Artificial intelligence Computer communication systems Software engineering Computer logic Data Mining and Knowledge Discovery Artificial Intelligence Computer Communication Networks Software Engineering Logics and Meanings of Programs |
Soggetto genere / forma |
Budapest (2009)
Kongress. |
ISBN | 3-642-03603-1 |
Classificazione |
DAT 703f
DAT 709f SS 4800 ST 530 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Talks and Papers -- Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering -- Knowledge-Based Reinforcement Learning for Data Mining -- Ubiquitous Intelligence in Agent Mining -- Agents Based Data Mining and Decision Support System -- Agent-Driven Data Mining -- Agent-Enriched Data Mining Using an Extendable Framework -- Auto-Clustering Using Particle Swarm Optimization and Bacterial Foraging -- A Self-Organized Multiagent System for Intrusion Detection -- Towards Cooperative Predictive Data Mining in Competitive Environments -- Data Mining Driven Agents -- Improving Agent Bidding in Power Stock Markets through a Data Mining Enhanced Agent Platform -- Enhancing Agent Intelligence through Data Mining: A Power Plant Case Study -- A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents -- Agent Mining Applications -- Agent Assignment for Process Management: Pattern Based Agent Performance Evaluation -- Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach -- The Complex Dynamics of Sponsored Search Markets. |
Record Nr. | UNINA-9910483799403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data Mining / / Jürgen Cleve, Uwe Lämmel |
Autore | Cleve Jürgen |
Edizione | [2., aktual. Aufl.] |
Pubbl/distr/stampa | München ; ; Wien : , : De Gruyter Oldenbourg, , [2016] |
Descrizione fisica | 1 online resource (328 pages) : illustrations |
Disciplina | 006.3/12 |
Collana | De Gruyter Studium |
Soggetto topico | Data mining |
Soggetto non controllato |
Algorithms
KNIME workflow cloud computing data mining |
ISBN |
3-11-045677-X
3-11-045690-7 |
Classificazione | ST 530 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Frontmatter -- Vorwort -- Inhaltsverzeichnis -- 1. Einführung -- 2. Grundlagen des Data Mining -- 3. Anwendungsklassen -- 4. Wissensrepräsentation -- 5. Klassifikation -- 6. Cluster-Analyse -- 7. Assoziationsanalyse -- 8. Datenvorbereitung -- 9. Bewertung -- 10. Eine Data-Mining-Aufgabe -- Anhang -- Abbildungsverzeichnis -- Tabellenverzeichnis -- Verzeichnis der Symbole -- Verzeichnis der Abkürzungen -- Literaturverzeichnis -- Index |
Record Nr. | UNINA-9910148796503321 |
Cleve Jürgen | ||
München ; ; Wien : , : De Gruyter Oldenbourg, , [2016] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data mining in large sets of complex data / / Robson L. F. Cordeiro, Christos Faloutsos, Caetano Traina Junior |
Autore | Cordeiro Robson L. F |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | London ; ; New York, : Springer, c2013 |
Descrizione fisica | 1 online resource (xi, 116 pages) : illustrations (some color) |
Disciplina | 006.312 |
Altri autori (Persone) |
FaloutsosChristos
Traina JuniorCaetano |
Collana | SpringerBriefs in computer science |
Soggetto topico |
Data mining
Database searching |
ISBN |
1-299-19712-4
1-4471-4890-8 |
Classificazione | ST 530 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Introduction -- Related Work and Concepts -- Clustering Methods for Moderate-to-High Dimensionality Data -- Halite -- BoW -- QMAS -- Conclusion. |
Record Nr. | UNINA-9910437560803321 |
Cordeiro Robson L. F | ||
London ; ; New York, : Springer, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Temporal data mining / / Theophano Mitsa |
Autore | Mitsa Theophano |
Edizione | [1st edition] |
Pubbl/distr/stampa | Boca Raton : , : Taylor & Francis, , 2010 |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina | 005.75/3 |
Collana | Chapman & Hall/CRC data mining and knowledge discovery series |
Soggetto topico |
Data mining
Temporal databases |
ISBN |
0-429-19185-5
1-282-50404-5 9786612504044 1-4200-8977-3 |
Classificazione | ST 530 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front cover; Table of Contents; Preface; Chapter 1. Temporal Databases and Mediators; Chapter 2. Temporal Data Similarity Computation, Representation, and Summarization; Chapter 3. Temporal Data Classification and Clustering; Chapter 4. Prediction; Chapter 5. Temporal Pattern Discovery; Chapter 6. Temporal Data Mining in Medicine and Bioinformatics; Chapter 7. Temporal Data Mining and Forecasting in Business and Industrial Applications; Chapter 8. Web Usage Mining; Chapter 9. Spatiotemporal Data Mining; Appendix A; Appendix B; Index; Back cover |
Record Nr. | UNINA-9910785003103321 |
Mitsa Theophano | ||
Boca Raton : , : Taylor & Francis, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Temporal data mining / / Theophano Mitsa |
Autore | Mitsa Theophano |
Edizione | [1st edition] |
Pubbl/distr/stampa | Boca Raton : , : Taylor & Francis, , 2010 |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina | 005.75/3 |
Collana | Chapman & Hall/CRC data mining and knowledge discovery series |
Soggetto topico |
Data mining
Temporal databases |
ISBN |
0-429-19185-5
1-282-50404-5 9786612504044 1-4200-8977-3 |
Classificazione | ST 530 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front cover; Table of Contents; Preface; Chapter 1. Temporal Databases and Mediators; Chapter 2. Temporal Data Similarity Computation, Representation, and Summarization; Chapter 3. Temporal Data Classification and Clustering; Chapter 4. Prediction; Chapter 5. Temporal Pattern Discovery; Chapter 6. Temporal Data Mining in Medicine and Bioinformatics; Chapter 7. Temporal Data Mining and Forecasting in Business and Industrial Applications; Chapter 8. Web Usage Mining; Chapter 9. Spatiotemporal Data Mining; Appendix A; Appendix B; Index; Back cover |
Record Nr. | UNINA-9910799963303321 |
Mitsa Theophano | ||
Boca Raton : , : Taylor & Francis, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Temporal data mining / / Theophano Mitsa |
Autore | Mitsa Theophano |
Edizione | [1st edition] |
Pubbl/distr/stampa | Boca Raton : , : Taylor & Francis, , 2010 |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina | 005.75/3 |
Collana | Chapman & Hall/CRC data mining and knowledge discovery series |
Soggetto topico |
Data mining
Temporal databases |
ISBN |
1-04-007822-2
0-429-19185-5 1-282-50404-5 9786612504044 1-4200-8977-3 |
Classificazione | ST 530 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front cover; Table of Contents; Preface; Chapter 1. Temporal Databases and Mediators; Chapter 2. Temporal Data Similarity Computation, Representation, and Summarization; Chapter 3. Temporal Data Classification and Clustering; Chapter 4. Prediction; Chapter 5. Temporal Pattern Discovery; Chapter 6. Temporal Data Mining in Medicine and Bioinformatics; Chapter 7. Temporal Data Mining and Forecasting in Business and Industrial Applications; Chapter 8. Web Usage Mining; Chapter 9. Spatiotemporal Data Mining; Appendix A; Appendix B; Index; Back cover |
Record Nr. | UNINA-9910808668103321 |
Mitsa Theophano | ||
Boca Raton : , : Taylor & Francis, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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