Data Analysis, Machine Learning and Knowledge Discovery

✍ Scribed by Udo Bankhofer, Dieter William Joenssen (auth.), Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning (eds.)

• Publisher: Springer International Publishing
• Year: 2014
• Tongue: English
• Leaves: 461
• Series: Studies in Classification, Data Analysis, and Knowledge Organization
• Edition: 1
• Category: Library

✦ Synopsis

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ​

✦ Table of Contents

Front Matter....Pages i-xxi
Front Matter....Pages 1-1
On Limiting Donor Usage for Imputation of Missing Data via Hot Deck Methods....Pages 3-11
The Most Dangerous Districts of Dortmund....Pages 13-21
Benchmarking Classification Algorithms on High-Performance Computing Clusters....Pages 23-31
Visual Models for Categorical Data in Economic Research....Pages 33-40
How Many Bee Species? A Case Study in Determining the Number of Clusters....Pages 41-49
Two-Step Linear Discriminant Analysis for Classification of EEG Data....Pages 51-59
Predictive Validity of Tracking Decisions: Application of a New Validation Criterion....Pages 61-69
DD α -Classification of Asymmetric and Fat-Tailed Data....Pages 71-78
The Alpha-Procedure: A Nonparametric Invariant Method for Automatic Classification of Multi-Dimensional Objects....Pages 79-86
Support Vector Machines on Large Data Sets: Simple Parallel Approaches....Pages 87-95
Soft Bootstrapping in Cluster Analysis and Its Comparison with Other Resampling Methods....Pages 97-104
Dual Scaling Classification and Its Application in Archaeometry....Pages 105-113
Gamma-Hadron-Separation in the MAGIC Experiment....Pages 115-124
Front Matter....Pages 125-125
Implementing Inductive Concept Learning For Cooperative Query Answering....Pages 127-134
Clustering Large Datasets Using Data Stream Clustering Techniques....Pages 135-143
Feedback Prediction for Blogs....Pages 145-152
Spectral Clustering: Interpretation and Gaussian Parameter....Pages 153-162
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification....Pages 163-170
Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition....Pages 171-178
Front Matter....Pages 179-179
The Dangers of Using Intention as a Surrogate for Retention in Brand Positioning Decision Support Systems....Pages 181-188
Front Matter....Pages 179-179
Multinomial SVM Item Recommender for Repeat-Buying Scenarios....Pages 189-197
Predicting Changes in Market Segments Based on Customer Behavior....Pages 199-207
Symbolic Cluster Ensemble based on Co-Association Matrix versus Noisy Variables and Outliers....Pages 209-216
Image Feature Selection for Market Segmentation: A Comparison of Alternative Approaches....Pages 217-225
The Validity of Conjoint Analysis: An Investigation of Commercial Studies Over Time....Pages 227-234
Solving Product Line Design Optimization Problems Using Stochastic Programming....Pages 235-243
Front Matter....Pages 245-245
On the Discriminative Power of Credit Scoring Systems Trained on Independent Samples....Pages 247-254
A Practical Method of Determining Longevity and Premature-Death Risk Aversion in Households and Some Proposals of Its Application....Pages 255-264
Correlation of Outliers in Multivariate Data....Pages 265-272
Value-at-Risk Backtesting Procedures Based on Loss Functions: Simulation Analysis of the Power of Tests....Pages 273-281
Front Matter....Pages 283-283
Rank Aggregation for Candidate Gene Identification....Pages 285-293
Unsupervised Dimension Reduction Methods for Protein Sequence Classification....Pages 295-302
Three Transductive Set Covering Machines....Pages 303-311
Front Matter....Pages 313-313
Tone Onset Detection Using an Auditory Model....Pages 315-324
A Unifying Framework for GPR Image Reconstruction....Pages 325-332
Recognition of Musical Instruments in Intervals and Chords....Pages 333-341
ANOVA and Alternatives for Causal Inferences....Pages 343-350
Testing Models for Medieval Settlement Location....Pages 351-358
Supporting Selection of Statistical Techniques....Pages 359-367
Alignment Methods for Folk Tune Classification....Pages 369-377
Front Matter....Pages 313-313
Comparing Regression Approaches in Modelling Compensatory and Noncompensatory Judgment Formation....Pages 379-387
Sensitivity Analyses for the Mixed Coefficients Multinomial Logit Model....Pages 389-396
Confidence Measures in Automatic Music Classification....Pages 397-405
Using Latent Class Models with Random Effects for Investigating Local Dependence....Pages 407-416
The OECD’s Programme for International Student Assessment (PISA) Study: A Review of Its Basic Psychometric Concepts....Pages 417-425
Music Genre Prediction by Low-Level and High-Level Characteristics....Pages 427-434
Front Matter....Pages 435-435
Using Clustering Across Union Catalogues to Enrich Entries with Indexing Information....Pages 437-445
Text Mining for Ontology Construction....Pages 447-454
Data Enrichment in Discovery Systems Using Linked Data....Pages 455-462
Back Matter....Pages 463-470

✦ Subjects

Statistics and Computing/Statistics Programs; Data Mining and Knowledge Discovery; Marketing; Finance/Investment/Banking; Biostatistics; General Psychology