Advances in Data Mining - Theoretical Aspects and Applications: 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, ProceedingsPetra Perner Springer, 2007. gada 18. aug. - 356 lappuses ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the White Gold of King August the Strongest of Saxonia ICDM 2007 was the seventh event in the Industrial Conference on Data Mining series and was held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 96 submissions from 24 countries (see Fig. 1). After the peer-review process, we accepted 25 high-quality papers for oral presentation that are included in this proceedings book. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Germany 9,30% 4,17% China 9,30% 1,04% 6,98% 3,13% South Korea Czech Republic 6,98% 3,13% USA 6,98% 2,08% 4,65% 2,08% UK Portugal 4,65% 2,08% Iran 4,65% 2,08% India 4,65% 2,08% Brazil 4,65% 1,04% Hungary 4,65% 1,04% Mexico 4,65% 1,04% Finland 2,33% 1,04% Ireland 2,33% 1,04% Slovenia 2,33% 1,04% France 2,33% 1,04% Israel 2,33% 1,04% Spain 2,33% 1,04% Greece 2,33% 1,04% Italy 2,33% 1,04% Sweden 2,33% 1,04% Netherlands 2,33% 1,04% Malaysia 2,33% 1,04% Turkey 2,33% 1,04% Fig. 1. Distribution of papers among countries Twelve papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume. |
No grāmatas satura
1.5. rezultāts no 85.
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... Knowledge. The talk illustrated that case-based reasoning on the lower, i.e., more personal levels is quite useful, in particular in comparison with traditional information-retrieval methods. We saw an increasing number of industrial ...
... Knowledge. The talk illustrated that case-based reasoning on the lower, i.e., more personal levels is quite useful, in particular in comparison with traditional information-retrieval methods. We saw an increasing number of industrial ...
. lappuse
... Knowledge ................. 1 Michael M. Richter Aspects of Classification and Prediction Subsets More Representative Than Random Ones .................... Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning ...
... Knowledge ................. 1 Michael M. Richter Aspects of Classification and Prediction Subsets More Representative Than Random Ones .................... Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning ...
. lappuse
... Mining ........................... 339 Martin Ralbovský and Tomás Kuchar Author Index .................................................. 353 Case Based Reasoning and the Search for Knowledge Michael M. Table of Contents XI.
... Mining ........................... 339 Martin Ralbovský and Tomás Kuchar Author Index .................................................. 353 Case Based Reasoning and the Search for Knowledge Michael M. Table of Contents XI.
1. lappuse
... Knowledge Michael M. Richter Department of Computer Science University of Calgary, 2500 University Dr. Calgary, AB, T2N 1N4, Canada ... Knowledge Management Knowledge based Case Based Reasoning and the Search for Knowledge Introduction.
... Knowledge Michael M. Richter Department of Computer Science University of Calgary, 2500 University Dr. Calgary, AB, T2N 1N4, Canada ... Knowledge Management Knowledge based Case Based Reasoning and the Search for Knowledge Introduction.
2. lappuse
... Knowledge. Based. Systems. to. Knowledge. Management. Knowledge based systems (also called expert systems) were fully automated systems ... Knowledge Based Systems to Knowledge Management Knowledge, Processes, and Utility Processes and ...
... Knowledge. Based. Systems. to. Knowledge. Management. Knowledge based systems (also called expert systems) were fully automated systems ... Knowledge Based Systems to Knowledge Management Knowledge, Processes, and Utility Processes and ...
Saturs
1 | |
15 | |
21 | |
An Efficient Algorithm for InstanceBased Learning on Data Streams | 34 |
Softening the Margin in Discrete SVM | 49 |
A New Method and Comparative Study in the Application of Face Recognition System | 63 |
Outlier Detection with Streaming Dyadic Decomposition | 77 |
VISRED Numerical Data Mining with Linear and Nonlinear Techniques | 92 |
A Case Study | 199 |
Combining Traditional and NeuralBased Techniques for Ink Feed Control in a Newspaper Printing Press | 214 |
A Case Study for Detection of Emotions in Speech | 228 |
Neural Business Control System | 242 |
A Framework for Discovering and Analyzing Changing Customer Segments | 255 |
Collaborative Filtering Using Electrical Resistance Network Models | 269 |
Visual Query and Exploration System for Temporal Relational Database | 283 |
Towards an Online ImageBased Tree Taxonomy | 296 |
Clustering by Random Projections | 107 |
Lightweight Clustering Technique for Distributed Data Mining Applications | 120 |
Statistical and RuleBased Approach | 135 |
Improved IR in Cohesion Model for Link Detection System | 148 |
Improving a StateoftheArt Named Entity Recognition System Using the World Wide Web | 163 |
A CaseBased Reasoning System to Explain Exceptional Dialysis Patients | 173 |
The Role of Prototypical Cases in Biomedical CaseBased Reasoning | 184 |
Distributed Generative Data Mining | 307 |
PrivacyPreserving Discovery of Frequent Patterns in Time Series | 318 |
Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits | 329 |
Using Disjunctions in Association Mining | 339 |
Author Index | 352 |
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Advances in Data Mining - Theoretical Aspects and Applications: 7th ... Petra Perner Priekšskatījums nav pieejams - 2009 |
Bieži izmantoti vārdi un frāzes
according accuracy active adaptation algorithm allows amount analysis applied approach associated attributes Case-Based classification clustering combination compared components Computer concept considered contains corresponding data mining data set database defined density described detection developed dimension distance distributed documents error evaluation event examples experiments function given graph Heidelberg identify important improved instance knowledge label learning machine means measure method node objects observed obtained optimal parameters patients patterns performance points possible prediction presented Press problem projections proposed prototypical query random reasoning reduce relations relevant represented retrieval rules sample segments selection shown shows similarity solution space specific statistical step streams structure subset Table task techniques temporal tree types variables vector weight
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