Classification, Automation, and New Media: Proceedings of the 24th Annual Conference of the Gesellschaft Für Klassifikation E.V., University of Passau, March 15-17, 2000Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology. |
Contents
Clustering and Models | 3 |
a | 14 |
Some New and Some Old Results for the | 17 |
5+ | 22 |
Some Basic Results on the Extension of | 29 |
On the Optimal Number of Clusters in | 37 |
The Dual Dynamic Factor Analysis Models | 47 |
Joint Nonsymmetrical Correspondence Analysis | 59 |
Natural Languagebased Specification and Fuzzy | 255 |
A Tool System for an Objectoriented Approach | 265 |
Recommendations for Virtual Universities from | 273 |
ich | 285 |
Begrüßungsformel | 287 |
The Navigation Problem in the | 289 |
Mining Web Usage Data for Automatic Site | 299 |
na | 313 |
Regression Analysis of Extremely Multicollinear | 67 |
A Clash of Paradigms | 75 |
Twomode Clustering with Genetic Algorithms | 87 |
Exact Tests for the Comparison of Binary Data | 95 |
Connected Maximum Split Clustering of Ladder | 107 |
1 2 | 108 |
initial partition | 109 |
A Generalization of Twomode Threeway | 115 |
categories have This is compatible with the moving out | 119 |
Dimension 2 | 120 |
Central Limit Theorem for Probabilities of | 123 |
A New Model for the Analysis of | 131 |
Discrete and Continuous Models for Twoway | 139 |
Towards Feature Fusion A Classifier on the | 151 |
Ос | 157 |
Convex Discriminant Analysis Tools for Non | 159 |
It first labels the observed points as x1 | 162 |
Example of a fractal non convex domain | 166 |
Sparse Kernel Feature Analysis | 167 |
75627 | 177 |
Exploring Association Rules by Interactive | 181 |
Classification of Texts with Support Vector | 189 |
Text Mining with the Help of Cohesion Trees | 199 |
New Features of Categorical Principal | 207 |
Category Points Country | 215 |
Data Integration by | 219 |
The Completion of Missing Values by Neural | 227 |
Clustering Hypermedia | 235 |
The dendrogram shows that the SOM preserves | 239 |
? | 241 |
Simplification of Knowledge Discovery using | 245 |
Field 1 | 251 |
Common Due Date Scheduling | 323 |
Data Visualization and Preparation by | 343 |
Fuzzy Scenario Evaluation | 351 |
grades of membership | 355 |
Fair Stock Risk Premiums under Firmspecific | 359 |
What Components Determine Stock Market | 367 |
A Comparison of Estimators for Multivariate | 375 |
Pricing of a New Integrated Risk Reinsurance | 383 |
A Multiple Method Approach for Discrimination | 391 |
GoodnessofFit Measures for Twomode | 401 |
On Volatility Transfers During the Asia Crisis in | 409 |
Impulse response functions based on a VAR2 | 416 |
QTL Mapping in Plant Populations | 421 |
Robust Multivariate Methods in Geostatistics | 429 |
+ | 435 |
Resampling Methods in Physical Mapping | 437 |
a Search the contig pair with the smallest | 440 |
4 | 444 |
Validating Dialect Comparison Methods | 445 |
Rater Classification on the Basis of Latent | 453 |
Results of Automatic Conversion of Diagnoses | 463 |
Exploring Roman Brick and Tile by Cluster | 471 |
Second principal component 193 of variance | 474 |
Relief Intensity and the Formation of the | 479 |
low relief are zones neither disadvantaged by substrata nor collecting | 488 |
SpatioTemporal Modeling of Cancer Mortality | 491 |
06 | 492 |
The Classification of Critical Periods for | 499 |
Classification in the Prescription of Medicaments | 507 |
Effects of Independent Nondifferential | 515 |
A New Approach to Discriminant Analysis with | 523 |
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Common terms and phrases
application approach attributable risk centroid CHAID classification clustering coefficients column compute contig contour sections correlations corresponding covariance covariance matrix Data Analysis Data Mining data set database defined derivatives dimension distance distribution EM algorithm equation error estimates evaluation example factors Figure frequency function genetic algorithm given graph hyperdocument hypertext iteration Kernel km² ladder graph lemmatization likelihood linear Markov chain matrix means measure media objects methods misclassification missing values multivariate observed obtained optimal pageview parameters partition points polytomous Rasch model Principal Component Analysis principal components probe problem profiles random rater References regression regressors relief intensity represent representation respect rule sample scenario scores semantic similar solution space spatial statistics structure Support Vector Machines Table techniques tion transaction two-mode usage variables variance vector visualization weight