Machine Learning and Data Mining in Pattern Recognition (Record no. 95471)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 07510nam a22006135i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-03070-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730195111.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100301s2009 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783642030703 |
| -- | 978-3-642-03070-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-642-03070-3 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.76.C65 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMC |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM010000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UMC |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.45 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Machine Learning and Data Mining in Pattern Recognition |
| Medium | [electronic resource] : |
| Remainder of title | 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009, Proceedings / |
| Statement of responsibility, etc. | edited by Petra Perner. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2009. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Berlin, Heidelberg : |
| Name of producer, publisher, distributor, manufacturer | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2009. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XIV, 824 p. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 5632 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Attribute Discretization and Data Preparation -- Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization -- Selection of Subsets of Ordered Features in Machine Learning -- Combination of Vector Quantization and Visualization -- Discretization of Target Attributes for Subgroup Discovery -- Preserving Privacy in Time Series Data Classification by Discretization -- Using Resampling Techniques for Better Quality Discretization -- Classification -- A Large Margin Classifier with Additional Features -- Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier -- Optimal Double-Kernel Combination for Classification -- Efficient AdaBoost Region Classification -- A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation -- PMCRI: A Parallel Modular Classification Rule Induction Framework -- Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method -- ODDboost: Incorporating Posterior Estimates into AdaBoost -- Ensemble Classifier Learning -- Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach -- Relevance and Redundancy Analysis for Ensemble Classifiers -- Drift-Aware Ensemble Regression -- Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees -- Association Rules and Pattern Mining -- Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies -- Pattern Mining with Natural Language Processing: An Exploratory Approach -- Is the Distance Compression Effect Overstated? Some Theory and Experimentation -- Support Vector Machines -- Fast Local Support Vector Machines for Large Datasets -- The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines -- Towards B-Coloring of SOM -- Clustering -- CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality -- Agent-Based Non-distributed and Distributed Clustering -- An Evidence Accumulation Approach to Constrained Clustering Combination -- Fast Spectral Clustering with Random Projection and Sampling -- How Much True Structure Has Been Discovered? -- Efficient Clustering of Web-Derived Data Sets -- A Probabilistic Approach for Constrained Clustering with Topological Map -- Novelty and Outlier Detection -- Relational Frequent Patterns Mining for Novelty Detection from Data Streams -- A Comparative Study of Outlier Detection Algorithms -- Outlier Detection with Explanation Facility -- Learning -- Concept Learning from (Very) Ambiguous Examples -- Finding Top-N Pseudo Formal Concepts with Core Intents -- On Fixed Convex Combinations of No-Regret Learners -- An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums -- The Needles-in-Haystack Problem -- Data Mining on Multimedia Data -- An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding -- Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM -- Mining Lung Shape from X-Ray Images -- A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data -- Spectrum Steganalysis of WAV Audio Streams -- Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach -- Learning with a Quadruped Chopstick Robot -- Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes -- Text Mining -- Using Graph-Kernels to Represent Semantic Information in Text Classification -- A General Framework of Feature Selection for Text Categorization -- New SemanticSimilarity Based Model for Text Clustering Using Extended Gloss Overlaps -- Aspects of Data Mining -- Learning Betting Tips from Users' Bet Selections -- An Approach to Web-Scale Named-Entity Disambiguation -- A General Learning Method for Automatic Title Extraction from HTML Pages -- Regional Pattern Discovery in Geo-referenced Datasets Using PCA -- Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series -- A Neural Approach for SME's Credit Risk Analysis in Turkey -- Assisting Data Mining through Automated Planning -- Predictions with Confidence in Applications -- Data Mining in Medicine -- Aligning Bayesian Network Classifiers with Medical Contexts -- Assessing the Eligibility of Kidney Transplant Donors -- Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2009, held in Leipzig, Germany, in July 2009. The 63 revised full papers presented were carefully reviewed and selected from 205 submissions. The papers are organized in topical sections on attribute discretization and data preparation; classification; ensemble classifier learning; associate rules and pattern minig; support vector machines; clustering; novelty and outlier detection; learning; data mining and multimedia data; text mining; aspects of data mining; as well as data mining in medicine. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Compilers (Computer programs). |
| 9 (RLIN) | 3350 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining. |
| 9 (RLIN) | 3907 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Application software. |
| 9 (RLIN) | 159089 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 3407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine theory. |
| 9 (RLIN) | 159090 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Database management. |
| 9 (RLIN) | 3157 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Compilers and Interpreters. |
| 9 (RLIN) | 31853 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Mining and Knowledge Discovery. |
| 9 (RLIN) | 159091 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer and Information Systems Applications. |
| 9 (RLIN) | 159092 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence. |
| 9 (RLIN) | 3407 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Formal Languages and Automata Theory. |
| 9 (RLIN) | 159093 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Database Management. |
| 9 (RLIN) | 3157 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Perner, Petra. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 159094 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 159095 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783642030697 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783642030710 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 5632 |
| 9 (RLIN) | 159096 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-642-03070-3">https://doi.org/10.1007/978-3-642-03070-3</a> |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
No items available.