Machine Learning and Knowledge Discovery in Databases (Record no. 93839)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 07677nam a22006495i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-540-87479-9 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730191640.0 |
| 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 | 100301s2008 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783540874799 |
| -- | 978-3-540-87479-9 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-540-87479-9 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q334-342 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA347.A78 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Machine Learning and Knowledge Discovery in Databases |
| Medium | [electronic resource] : |
| Remainder of title | European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I / |
| Statement of responsibility, etc. | edited by Walter Daelemans, Katharina Morik. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2008. |
| 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 | 2008. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXIV, 692 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 | 5211 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Invited Talks (Abstracts) -- Industrializing Data Mining, Challenges and Perspectives -- From Microscopy Images to Models of Cellular Processes -- Data Clustering: 50 Years Beyond K-means -- Learning Language from Its Perceptual Context -- The Role of Hierarchies in Exploratory Data Mining -- Machine Learning Journal Abstracts -- Rollout Sampling Approximate Policy Iteration -- New Closed-Form Bounds on the Partition Function -- Large Margin vs. Large Volume in Transductive Learning -- Incremental Exemplar Learning Schemes for Classification on Embedded Devices -- A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity -- A Critical Analysis of Variants of the AUC -- Improving Maximum Margin Matrix Factorization -- Data Mining and Knowledge Discovery Journal Abstracts -- Finding Reliable Subgraphs from Large Probabilistic Graphs -- A Space Efficient Solution to the Frequent String Mining Problem for Many Databases -- The Boolean Column and Column-Row Matrix Decompositions -- SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs -- Mining Conjunctive Sequential Patterns -- Adequate Condensed Representations of Patterns -- Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data -- Regular Papers -- TOPTMH: Topology Predictor for Transmembrane ?-Helices -- Learning to Predict One or More Ranks in Ordinal Regression Tasks -- Cascade RSVM in Peer-to-Peer Networks -- An Algorithm for Transfer Learning in a Heterogeneous Environment -- Minimum-Size Bases of Association Rules -- Combining Classifiers through Triplet-Based Belief Functions -- An Improved Multi-task Learning Approach with Applications in Medical Diagnosis -- Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis -- Sequence Labelling SVMs Trained in One Pass -- Semi-supervised Classification from Discriminative Random Walks -- Learning Bidirectional Similarity for Collaborative Filtering -- Bootstrapping Information Extractionfrom Semi-structured Web Pages -- Online Multiagent Learning against Memory Bounded Adversaries -- Scalable Feature Selection for Multi-class Problems -- Learning Decision Trees for Unbalanced Data -- Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities -- A Fast Method for Training Linear SVM in the Primal -- On the Equivalence of the SMO and MDM Algorithms for SVM Training -- Nearest Neighbour Classification with Monotonicity Constraints -- Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer -- Mining Edge-Weighted Call Graphs to Localise Software Bugs -- Hierarchical Distance-Based Conceptual Clustering -- Mining Frequent Connected Subgraphs Reducing the Number of Candidates -- Unsupervised Riemannian Clustering of Probability Density Functions -- Online Manifold Regularization: A New Learning Setting and Empirical Study -- A Fast Algorithm to Find Overlapping Communities in Networks -- A Case Study in Sequential Pattern Mining for IT-Operational Risk -- Tight Optimistic Estimates for Fast Subgroup Discovery -- Watch, Listen & Learn: Co-training on Captioned Images and Videos -- Parameter Learning in Probabilistic Databases: A Least Squares Approach -- Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics -- One-Class Classification by Combining Density and Class Probability Estimation -- Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth -- Proper Model Selection with Significance Test -- A Projection-Based Framework for Classifier Performance Evaluation -- Distortion-Free Nonlinear Dimensionality Reduction -- Learning with L q? vs L 1-Norm Regularisation with Exponentially Many Irrelevant Features -- Catenary Support Vector Machines -- Exact and Approximate Inference for Annotating Graphs with Structural SVMs -- Extracting Semantic Networks from Text Via Relational Clustering -- Ranking the Uniformity of Interval Pairs -- Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs -- StreamKrimp: Detecting Change in Data Streams. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques. |
| 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 | Database management. |
| 9 (RLIN) | 3157 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information storage and retrieval systems. |
| 9 (RLIN) | 22213 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine theory. |
| 9 (RLIN) | 146840 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Algorithms. |
| 9 (RLIN) | 3390 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer science |
| General subdivision | Mathematics. |
| 9 (RLIN) | 3866 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Mathematical statistics. |
| 9 (RLIN) | 9597 |
| 650 14 - 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 | Database Management. |
| 9 (RLIN) | 3157 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information Storage and Retrieval. |
| 9 (RLIN) | 23927 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Formal Languages and Automata Theory. |
| 9 (RLIN) | 146841 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Algorithms. |
| 9 (RLIN) | 3390 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Probability and Statistics in Computer Science. |
| 9 (RLIN) | 31857 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Daelemans, Walter. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 146842 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Morik, Katharina. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 146843 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 146844 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783540874782 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783540875093 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 5211 |
| 9 (RLIN) | 146845 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-540-87479-9">https://doi.org/10.1007/978-3-540-87479-9</a> |
| 912 ## - | |
| -- | ZDB-2-SCS |
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| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
No items available.