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Advances in Web Mining and Web Usage Analysis [[electronic resource] ] : 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007, Revised Papers / / edited by Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen
| Advances in Web Mining and Web Usage Analysis [[electronic resource] ] : 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007, Revised Papers / / edited by Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XI, 155 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer communication systems Data mining Information storage and retrieval Application software Computers and civilization Artificial Intelligence Computer Communication Networks Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) Computers and Society |
| ISBN | 3-642-00528-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Spectral Clustering in Social Networks -- Looking for Great Ideas: Analyzing the Innovation Jam -- Segmentation and Automated Social Hierarchy Detection through Email Network Analysis -- Mining Research Communities in Bibliographical Data -- Dynamics of a Collaborative Rating System -- Applying Link-Based Classification to Label Blogs -- Why We Twitter: An Analysis of a Microblogging Community -- A Recommender System Based on Local Random Walks and Spectral Methods. |
| Record Nr. | UNISA-996465950903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Web Mining and Web Usage Analysis [[electronic resource] ] : 7th International Workshop on Knowledge Discovery on the Web, WEBKDD 2005, Chicago, IL, USA, August 21, 2005, Revised Papers / / edited by Olfa Nasraoui, Osmar Zaiane, Myra Spiliopoulou, Manshad Mobasher, Brij Masand, Philip Yu
| Advances in Web Mining and Web Usage Analysis [[electronic resource] ] : 7th International Workshop on Knowledge Discovery on the Web, WEBKDD 2005, Chicago, IL, USA, August 21, 2005, Revised Papers / / edited by Olfa Nasraoui, Osmar Zaiane, Myra Spiliopoulou, Manshad Mobasher, Brij Masand, Philip Yu |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (X, 182 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer communication systems Database management Information storage and retrieval Application software Computers and civilization Artificial Intelligence Computer Communication Networks Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Computers and Society |
| ISBN | 3-540-46348-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mining Significant Usage Patterns from Clickstream Data -- Using and Learning Semantics in Frequent Subgraph Mining -- Overcoming Incomplete User Models in Recommendation Systems Via an Ontology -- Data Sparsity Issues in the Collaborative Filtering Framework -- USER: User-Sensitive Expert Recommendations for Knowledge-Dense Environments -- Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation -- Adaptive Web Usage Profiling -- On Clustering Techniques for Change Diagnosis in Data Streams -- Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks. |
| Record Nr. | UNISA-996466012303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Web Mining and Web Usage Analysis [[electronic resource] ] : 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers / / edited by Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij Masand
| Advances in Web Mining and Web Usage Analysis [[electronic resource] ] : 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers / / edited by Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij Masand |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (X, 189 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer communication systems Database management Information storage and retrieval Application software Computers and civilization Artificial Intelligence Computer Communication Networks Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Computers and Society |
| ISBN | 3-540-47128-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Web Usage Analysis and User Modeling -- Mining Temporally Changing Web Usage Graphs -- Improving the Web Usage Analysis Process: A UML Model of the ETL Process -- Web Personalization and Recommender Systems -- Mission-Based Navigational Behaviour Modeling for Web Recommender Systems -- Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors -- Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth? -- Search Personalization -- Spying Out Accurate User Preferences for Search Engine Adaptation -- Using Hyperlink Features to Personalize Web Search -- Semantic Web Mining -- Discovering Links Between Lexical and Surface Features in Questions and Answers -- Integrating Web Conceptual Modeling and Web Usage Mining -- Boosting for Text Classification with Semantic Features -- Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts. |
| Record Nr. | UNISA-996465596503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Clustering Methods for Big Data Analytics : Techniques, Toolboxes and Applications / / edited by Olfa Nasraoui, Chiheb-Eddine Ben N'Cir
| Clustering Methods for Big Data Analytics : Techniques, Toolboxes and Applications / / edited by Olfa Nasraoui, Chiheb-Eddine Ben N'Cir |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (IX, 187 p. 63 illus., 31 illus. in color.) |
| Disciplina | 621.382 |
| Collana | Unsupervised and Semi-Supervised Learning |
| Soggetto topico |
Electrical engineering
Computational intelligence Data mining Big data Pattern recognition Communications Engineering, Networks Computational Intelligence Data Mining and Knowledge Discovery Big Data/Analytics Pattern Recognition |
| ISBN | 3-319-97864-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Clustering large scale data -- Clustering heterogeneous data -- Distributed clustering methods -- Clustering structured and unstructured data -- Clustering and unsupervised learning for deep learning -- Deep learning methods for clustering -- Clustering high speed cloud, grid, and streaming data -- Extension of partitioning, model based, density based, grid based, fuzzy and evolutionary clustering methods for big data analysis -- Large documents and textual data clustering -- Applications of big data clustering methods -- Clustering multimedia and multi-structured data -- Large-scale recommendation systems and social media systems -- Clustering multimedia and multi-structured data -- Real life applications of big data clustering -- Validation measures for big data clustering methods -- Conclusion. |
| Record Nr. | UNINA-9910337659403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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