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Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 João Gama Editor
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Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 João Gama Editor - new book

2009, ISBN: 9783642047466

We are pleased to present the proceedings of the 12th International Conference on Discovery Science (DS 2009), held in Porto, Portugal, October 3–5, 2009. DS 2009 was collocated wit… More...

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Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 João Gama Editor
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€ 54.99
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Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 João Gama Editor - new book

2009, ISBN: 9783642047466

We are pleased to present the proceedings of the 12th International Conference on Discovery Science (DS 2009), held in Porto, Portugal, October 3–5, 2009. DS 2009 was collocated wit… More...

new in stock. Shipping costs:zzgl. Versandkosten., plus shipping costs
3
Discovery Science 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 - Gama, João (Herausgeber); Brazdil, Pavel (Herausgeber); Jorge, Alipio (Herausgeber); Santos Costa, Vitor (Herausgeber)
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Gama, João (Herausgeber); Brazdil, Pavel (Herausgeber); Jorge, Alipio (Herausgeber); Santos Costa, Vitor (Herausgeber):
Discovery Science 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 - new book

2009

ISBN: 3642047467

2009 Kartoniert / Broschiert Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Netzwerk-Hardware, Data Warehousing, Data Mining, Informationsrückgewinnung, Informat… More...

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Discovery Science - Gama, João|Santos Costa, Vitor|Jorge, Alipio|Brazdil, Pavel
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Gama, João|Santos Costa, Vitor|Jorge, Alipio|Brazdil, Pavel:
Discovery Science - Paperback

2009, ISBN: 3642047467

[EAN: 9783642047466], Neubuch, [PU: Springer Berlin Heidelberg], INTELLIGENZ KÜNSTLICHE KI - AI CLUSTERING COLLABORATIVESCIENCE DATAANALYSIS DATAMINING IMAGESEGMENTATION KNOWLEDGE KNOWLED… More...

NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) moluna, Greven, Germany [73551232] [Rating: 5 (von 5)]
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Discovery Science 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 - Gama, João, Vitor Santos Costa  und Alipio Jorge
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Gama, João, Vitor Santos Costa und Alipio Jorge:
Discovery Science 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 - First edition

2009, ISBN: 9783642047466

[PU: Springer Berlin], Neubindung, Buchecken und -kanten leicht angestossen, 1. Auflage 2009 5946509/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2009, Banküberweisung, … More...

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Details of the book
Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 João Gama Editor

This book constitutes the refereed proceedings of the twelfth International Conference, on Discovery Science, DS 2009, held in Porto, Portugal, in October 2009. The 35 revised full papers presented were carefully selected from 92 papers. The scope of the conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their applications.

Details of the book - Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009 João Gama Editor


EAN (ISBN-13): 9783642047466
ISBN (ISBN-10): 3642047467
Hardcover
Paperback
Publishing year: 2009
Publisher: Springer Berlin Heidelberg Core >1 >T
474 Pages
Weight: 0,738 kg
Language: eng/Englisch

Book in our database since 2008-04-17T13:28:29+01:00 (London)
Book found last time on 2024-09-14T08:19:42+01:00 (London)
ISBN/EAN: 9783642047466

ISBN - alternate spelling:
3-642-04746-7, 978-3-642-04746-6
Alternate spelling and related search-keywords:
Book author: pavel pavel, brazdil, vito, costa, santos, joão, gama, pereira
Book title: porto portugal, october, book discovery, computer, artificial intelligence, gama


Information from Publisher

Author: João Gama; Vitor Santos Costa; Alipio Jorge; Pavel Brazdil
Title: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Discovery Science - 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009
Publisher: Springer; Springer Berlin
474 Pages
Publishing year: 2009-10-05
Berlin; Heidelberg; DE
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIII, 474 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; clustering; collaborative science; data analysis; data mining; image segmentation; knowledge; knowledge discovery; knowledge extraction; knowledge processing; learning; learning agents; machine learning; science education; visualization; web mining; Artificial Intelligence; Computer Communication Networks; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Computer and Information Systems Applications; User Interfaces and Human Computer Interaction; Netzwerk-Hardware; Data Mining; Wissensbasierte Systeme, Expertensysteme; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Angewandte Informatik; Mensch-Computer-Interaktion; EA

Inference and Learning in Planning (Extended Abstract).- Mining Heterogeneous Information Networks by Exploring the Power of Links.- Learning on the Web.- Learning and Domain Adaptation.- The Two Faces of Active Learning.- An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting.- Detecting New Kinds of Patient Safety Incidents.- Using Data Mining for Wine Quality Assessment.- MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio.- On the Complexity of Constraint-Based Theory Extraction.- Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool.- Regression Trees from Data Streams with Drift Detection.- Mining Frequent Bipartite Episode from Event Sequences.- CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks.- Learning Large Margin First Order Decision Lists for Multi-Class Classification.- Centrality Measures from Complex Networks in Active Learning.- Player Modeling for Intelligent Difficulty Adjustment.- Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images.- Discovering the Structures of Open Source Programs from Their Developer Mailing Lists.- A Comparison of Community Detection Algorithms on Artificial Networks.- Towards an Ontology of Data Mining Investigations.- OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers.- C-DenStream: Using Domain Knowledge on a Data Stream.- Discovering Influential Nodes for SIS Models in Social Networks.- An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules.- Precision and Recall for Regression.- Mining Local Correlation Patterns in Sets of Sequences.- Subspace Discovery for Promotion: A Cell Clustering Approach.- Contrasting Sequence Groups by Emerging Sequences.- A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams.- A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks.- Linear Programming Boosting by Column and Row Generation.- Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent.- A Dialectic Approach to Problem-Solving.- Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs.- Stream Clustering of Growing Objects.- Finding the k-Most Abnormal Subgraphs from a Single Graph.- Latent Topic Extraction from Relational Table for Record Matching.- Computing a Comprehensible Model for Spam Filtering.- Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality.

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