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Record Nr. |
UNINA9910483621003321 |
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Titolo |
Discovery science : 13th International Conference, DS 2010 : Canberra, Australia, October 6-8, 2010 : proceedings / / Bernhard Pfahringer, Geoff Holmes, Achim Hoffmann, (eds.) |
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Pubbl/distr/stampa |
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New York, : Springer, 2010 |
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ISBN |
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Edizione |
[1st ed. 2010.] |
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Descrizione fisica |
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1 online resource (XIII, 384 p. 108 illus.) |
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Collana |
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LNCS sublibrary. SL 7, Artificial intelligence |
Lecture notes in artificial intelligence, , 0302-9743 ; ; 6332 |
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Altri autori (Persone) |
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PfahringerBernhard |
HolmesGeoffrey |
HoffmannAchim |
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Disciplina |
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Soggetti |
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Science - Philosophy |
Discoveries in science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Sentiment Knowledge Discovery in Twitter Streaming Data -- A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation -- Topology Preserving SOM with Transductive Confidence Machine -- An Artificial Experimenter for Enzymatic Response Characterisation -- Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining -- On Enumerating Frequent Closed Patterns with Key in Multi-relational Data -- Why Text Segment Classification Based on Part of Speech Feature Selection -- Speeding Up and Boosting Diverse Density Learning -- Incremental Learning of Cellular Automata for Parallel Recognition of Formal Languages -- Sparse Substring Pattern Set Discovery Using Linear Programming Boosting -- Discovery of Super-Mediators of Information Diffusion in Social Networks -- Integer Linear Programming Models for Constrained Clustering -- Efficient Visualization of Document Streams -- Bridging Conjunctive and Disjunctive Search Spaces for Mining a New Concise and Exact Representation of Correlated Patterns -- Graph Classification Based on Optimizing Graph Spectra -- Algorithm for Detecting Significant |
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