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Niall M. Adams, Céline Robardet, Arno Siebes and Jean-François Boulicaut
Front matter
1-9
Intelligent Data Analysis in the 21st Century
10-20
Analyzing the Localization of Retail Stores with Complex Systems Tools
21-34
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
35-46
Exploiting Data Missingness in Bayesian Network Modeling
47-58
DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables
59-70
How to Control Clustering Results? Flexible Clustering Aggregation
71-82
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
83-94
Context-Based Distance Learning for Categorical Data Clustering
95-106
Semi-supervised Text Classification Using RBF Networks
107-118
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
119-130
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
131-142
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
143-154
Leveraging Call Center Logs for Customer Behavior Prediction
155-166
Condensed Representation of Sequential Patterns According to Frequency-Based Measures
167-177
ART-Based Neural Networks for Multi-label Classification
178-189
Two-Way Grouping by One-Way Topic Models
190-201
Selecting and Weighting Data for Building Consensus Gene Regulatory Networks
202-212
Incremental Bayesian Network Learning for Scalable Feature Selection
213-224
Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
225-236
Zero-Inflated Boosted Ensembles for Rare Event Counts
237-248
Mining the Temporal Dimension of the Information Propagation
249-260
Adaptive Learning from Evolving Data Streams
261-272
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset
273-284
Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?
285-296
Ontology-Driven KDD Process Composition
297-308
Mining Frequent Gradual Itemsets from Large Databases
309-320
Selecting Computer Architectures by Means of Control-Flow-Graph Mining
321-332
Visualization-Driven Structural and Statistical Analysis of Turbulent Flows
333-344
Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
345-356
Multi-Optimisation Consensus Clustering
357-368
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
369-380
Measure of Similarity and Compactness in Competitive Space
381-392
Bayesian Solutions to the Label Switching Problem
393-404
Efficient Vertical Mining of Frequent Closures and Generators
405-416
Isotonic Classification Trees
Back matter
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