Cantitate/Preț
Produs

Discovery Science: 5th International Conference, DS 2002, Lubeck, Germany, November 24-26, 2002, Proceedings: Lecture Notes in Computer Science, cartea 2534

Editat de Steffen Lange, Ken Satoh, Carl H. Smith
en Limba Engleză Paperback – 13 noi 2002

Din seria Lecture Notes in Computer Science

Preț: 33705 lei

Preț vechi: 42131 lei
-20% Nou

Puncte Express: 506

Preț estimativ în valută:
6450 6720$ 5363£

Carte tipărită la comandă

Livrare economică 08-22 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783540001881
ISBN-10: 3540001883
Pagini: 484
Ilustrații: XIV, 470 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.7 kg
Ediția:2002
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Invited Talks.- Mathematics Based on Learning.- Data Mining with Graphical Models.- On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum.- In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project.- Learning Structure from Sequences, with Applications in a Digital Library.- Regular Papers.- Discovering Frequent Structured Patterns from String Databases: An Application to Biological Sequences.- Discovery in Hydrating Plaster Using Machine Learning Methods.- Revising Qualitative Models of Gene Regulation.- SEuS: Structure Extraction Using Summaries.- Discovering Best Variable-Length-Don’t-Care Patterns.- A Study on the Effiect of Class Distribution Using Cost-Sensitive Learning.- Model Complexity and Algorithm Selection in Classification.- Experiments with Projection Learning.- Improved Dataset Characterisation for Meta-learning.- Racing Committees for Large Datasets.- From Ensemble Methods to Comprehensible Models.- Learning the Causal Structure of Overlapping Variable Sets.- Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks.- Structuring Neural Networks through Bidirectional Clustering of Weights.- Toward Drawing an Atlas of Hypothesis Classes: Approximating a Hypothesis via Another Hypothesis Model.- Datascape Survey Using the Cascade Model.- Learning Hierarchical Skills from Observation.- Poster Papers.- Image Analysis for Detecting Faulty Spots from Microarray Images.- Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations.- DNA-Tract Curvature Profile Reconstruction: A Fragment Flipping Algorithm.- Evolution Map: Modeling State Transition of Typhoon Image Sequences by Spatio-Temporal Clustering.- Structure-SweetnessRelationships of Aspartame Derivatives by GUHA.- A Hybrid Approach for Chinese Named Entity Recognition.- Extraction of Word Senses from Human Factors in Knowledge Discovery.- Event Pattern Discovery from the Stock Market Bulletin.- Email Categorization Using Fast Machine Learning Algorithms.- Discovery of Maximal Analogies between Stories.- Automatic Wrapper Generation for Multilingual Web Resources.- Combining Multiple K-Nearest Neighbor Classifiers for Text Classification by Reducts.- ARISTA Causal Knowledge Discovery from Texts.- Knowledge Discovery as Applied to Music: Will Music Web Retrieval Revolutionize Musicology?.- Process Mining: Discovering Direct Successors in Process Logs.- The Emergence of Artificial Creole by the EM Algorithm.- Generalized Musical Pattern Discovery by Analogy from Local Viewpoints.- Using Genetic Algorithms-Based Approach for Better Decision Trees: A Computational Study.- Handling Feature Ambiguity in Knowledge Discovery from Time Series.- A Compositional Framework for Mining Longest Ranges.- Post-processing Operators for Browsing Large Sets of Association Rules.- Mining Patterns from Structured Data by Beam-Wise Graph-Based Induction.- Feature Selection for Propositionalization.- Subspace Clustering Based on Compressibility.- The Extra-Theoretical Dimension of Discovery Extracting Knowledge by Abduction.- Discovery Process on the WWW: Analysis Based on a Theory of Scientific Discovery.- Invention vs. Discovery A Critical Discussion.

Caracteristici

Includes supplementary material: sn.pub/extras