Machine Learning and Data Mining in Pattern Recognition - neues Buch

EAN (ISBN-13): 9783540734987
ISBN (ISBN-10): 3540734988
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2007
Herausgeber: Springer Berlin
913 Seiten
Gewicht: 1,058 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-10-25T22:55:36+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-06T16:22:00+01:00 (Berlin)
ISBN/EAN: 3540734988

ISBN - alternative Schreibweisen:
3-540-73498-8, 978-3-540-73498-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: data mining, perner, lecoq, berlin, petra pau, crystal, petra springer, july, wilhelm meissner, wilhelm held
Titel des Buches: pattern recognition machine intelligence, lecture notes data mining, leipzig 2007, pattern recognition and machine learning, bildfolien learning, edition leipzig, learning from data, the pattern, the machine seen, principles systems, machine learning and data science, lecture notes artificial intelligence, crystal engineering

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Daten vom Verlag:

Autor/in: Petra Perner
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning and Data Mining in Pattern Recognition - 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings
Verlag: Springer; Springer Berlin
916 Seiten
Erscheinungsjahr: 2007-07-16
Berlin; Heidelberg; DE
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XIV, 916 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Spam; classification; cognition; data mining; learning; machine learning; pattern recognition; Artificial Intelligence; Formal Languages and Automata Theory; Database Management; Data Mining and Knowledge Discovery; Automated Pattern Recognition; Computer Vision; Theoretische Informatik; Datenbanken; Data Mining; Wissensbasierte Systeme, Expertensysteme; Mustererkennung; Maschinelles Sehen, Bildverstehen; EA

Invited Talk.- Data Clustering: User’s Dilemma.- Classification.- On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers.- Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods.- Multi-source Data Modelling: Integrating Related Data to Improve Model Performance.- An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules.- Outlier Detection with Kernel Density Functions.- Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining.- An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams.- On the Combination of Locally Optimal Pairwise Classifiers.- Feature Selection, Extraction and Dimensionality Reduction.- An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors.- On Applying Dimension Reduction for Multi-labeled Problems.- Nonlinear Feature Selection by Relevance Feature Vector Machine.- Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation.- Clustering.- A Bounded Index for Cluster Validity.- Varying Density Spatial Clustering Based on a Hierarchical Tree.- Kernel MDL to Determine the Number of Clusters.- Critical Scale for Unsupervised Cluster Discovery.- Minimum Information Loss Cluster Analysis for Categorical Data.- A Clustering Algorithm Based on Generalized Stars.- Support Vector Machine.- Evolving Committees of Support Vector Machines.- Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines.- Data Selection Using SASH Trees for Support Vector Machines.- Dynamic Distance-Based Active Learning with SVM.- Transductive Inference.- Off-Line Learning with Transductive ConfidenceMachines: An Empirical Evaluation.- Transductive Learning from Relational Data.- Association Rule Mining.- A Novel Rule Ordering Approach in Classification Association Rule Mining.- Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules.- Mining Spam, Newsgroups, Blogs.- Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes.- Blog Mining for the Fortune 500.- A Link-Based Rank of Postings in Newsgroup.- Intrusion Detection and Networks.- A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection.- Long Tail Attributes of Knowledge Worker Intranet Interactions.- A Case-Based Approach to Anomaly Intrusion Detection.- Sensing Attacks in Computers Networks with Hidden Markov Models.- Frequent and Common Item Set Mining.- FIDS: Monitoring Frequent Items over Distributed Data Streams.- Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree.- CCIC: Consistent Common Itemsets Classifier.- Mining Marketing Data.- Development of an Agreement Metric Based Upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques, with Applications to Mapping Customer Data.- A Sequential Hybrid Forecasting System for Demand Prediction.- A Unified View of Objective Interestingness Measures.- Comparing State-of-the-Art Collaborative Filtering Systems.- Structural Data Mining.- Reducing the Dimensionality of Vector Space Embeddings of Graphs.- PE-PUC: A Graph Based PU-Learning Approach for Text Classification.- Efficient Subsequence Matching Using the Longest Common Subsequence with a Dual Match Index.- A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data.- Image Mining.- A New Combined Fractal Scale Descriptor for Gait Sequence.- Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA.- A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram.- Fast-Maneuvering Target Seeking Based on Double-Action Q-Learning.- Mining Frequent Trajectories of Moving Objects for Location Prediction.- Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation.- Restricted Sequential Floating Search Applied to Object Selection.- Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm.- A Hybrid Algorithm Based on Evolution Strategies and Instance-Based Learning, Used in Two-Dimensional Fitting of Brightness Profiles in Galaxy Images.- Gait Recognition by Applying Multiple Projections and Kernel PCA.- Medical, Biological, and Environmental Data Mining.- A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders.- Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds.- One Lead ECG Based Personal Identification with Feature Subspace Ensembles.- Classification of Breast Masses in Mammogram Images Using Ripley’s K Function and Support Vector Machine.- Selection of Experts for the Design of Multiple Biometric Systems.- Multi-agent System Approach to React to Sudden Environmental Changes.- Equivalence Learning in Protein Classification.- Text and Document Mining.- Statistical Identification of Key Phrases for Text Classification.- Probabilistic Model for Structured Document Mapping.- Application of Fractal Theory for On-Line and Off-Line Farsi Digit Recognition.- Hybrid Learning of Ontology Classes.- Discovering Relations Among Entities from XML Documents.