2010, ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [SC: 0.0], [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; … Mehr…
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2010, ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; INTELLIGENZ… Mehr…
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2010, ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; INTELLIGENZ… Mehr…
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2010, ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; INTELLIGENZ… Mehr…
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2010, ISBN: 9783642161834
[ED: Taschenbuch], [PU: Springer-Verlag GmbH], th This volume contains the papers presented at the 13 International Conference on Discovery Science (DS 2010) held in Canberra, Australia, … Mehr…
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Discovery Science : 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010, Proceedings - Taschenbuch
2010, ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [SC: 0.0], [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; … Mehr…
2010, ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; INTELLIGENZ… Mehr…
2010
ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; INTELLIGENZ… Mehr…
2010, ISBN: 3642161839
[EAN: 9783642161834], Neubuch, [PU: Springer-Verlag Gmbh Sep 2010], ALGORITHMUS; DATA MINING (EDV); DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; MATHEMATIK; INTELLIGENZ… Mehr…
2010, ISBN: 9783642161834
[ED: Taschenbuch], [PU: Springer-Verlag GmbH], th This volume contains the papers presented at the 13 International Conference on Discovery Science (DS 2010) held in Canberra, Australia, … Mehr…
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Detailangaben zum Buch - Discovery Science
EAN (ISBN-13): 9783642161834
ISBN (ISBN-10): 3642161839
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin
384 Seiten
Gewicht: 0,600 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2008-10-01T22:34:10+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-06-20T12:24:53+02:00 (Berlin)
ISBN/EAN: 9783642161834
ISBN - alternative Schreibweisen:
3-642-16183-9, 978-3-642-16183-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hoffman, bernahrd, holme, geoffrey holmes, shinohara, thomas alt, yamamoto, jean ries, masayuki, jean françois thomas
Titel des Buches: canberra, lecture notes artificial intelligence, lecture notes computer science, international conference proceedings, discovery, october, englisch berlin
Daten vom Verlag:
Autor/in: Bernahrd Pfahringer; Geoff Holmes; Achim Hoffman
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Discovery Science - 13th International Conference, DS 2010, Canberra, Australia, October 6-8, 2010, Proceedings
Verlag: Springer; Springer Berlin
384 Seiten
Erscheinungsjahr: 2010-09-27
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIII, 384 p. 108 illus.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; cloud computing; clustering; cognition; collaborative science; data mining; human-machine interaction; knowledge; knowledge discovery; learning; learning agents; mining graphs; robot; scientific discovery; spatial data; text mining; algorithm analysis and problem complexity; Artificial Intelligence; Information Storage and Retrieval; Computer and Information Systems Applications; Database Management; Data Mining and Knowledge Discovery; Algorithms; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Angewandte Informatik; Datenbanken; Data Mining; Wissensbasierte Systeme, Expertensysteme; Algorithmen und Datenstrukturen; EA
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 Locations from Raw GPS Data.- Discovery of Conservation Laws via Matrix Search.- Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle.- Exploiting Code Redundancies in ECOC.- Concept Convergence in Empirical Domains.- Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung.- Mining Class-Correlated Patterns for Sequence Labeling.- ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis.- Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships.- Incremental Mining of Closed Frequent Subtrees.- Optimal Online Prediction in Adversarial Environments.- Discovery of Abstract Concepts by a Robot.- Contrast Pattern Mining and Its Application for Building Robust Classifiers.- Towards General Algorithms for Grammatical Inference.- The Blessing and the Curse of the Multiplicative Updates.Up to date results Fast conference proceedings State-of-the-art report
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