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Home > Advances in Intelligent Data Analysis VIII: 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings > Intelligent Data Analysis in the 21st Century
Advances in Intelligent Data Analysis VIII: 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings |
Niall M. Adams; Céline Robardet; Arno Siebes; Jean-Francois Boulicaut
Springer Berlin Heidelberg
Advances in Intelligent Data Analysis VIII: 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings
Intelligent Data Analysis in the 21st Century
Authors

Paul Cohen; Niall Adams

ARI Id

1664752382018_3073343

Access

Not Available Free

Pages

1-9

DOI

10.1007/978-3-642-03915-7_1

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-03915-7_1

Table of Contents of Book
Showing 1 to 20 of 37 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Intelligent Data Analysis in the 21st Century
Paul Cohen; Niall Adams
1-9
Analyzing the Localization of Retail Stores with Complex Systems Tools
Pablo Jensen
10-20
Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
Tamraparni Dasu; Shankar Krishnan; Dongyu Lin; Suresh Venkatasubramanian; Kevin Yi
21-34
Exploiting Data Missingness in Bayesian Network Modeling
Sérgio Rodrigues de Morais; Alex Aussem
35-46
DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables
Stephen L. France; J. Douglas Carroll
47-58
How to Control Clustering Results? Flexible Clustering Aggregation
Martin Hahmann; Peter B. Volk; Frank Rosenthal; Dirk Habich; Wolfgang Lehner
59-70
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
Frank Höppner; Frank Klawonn
71-82
Context-Based Distance Learning for Categorical Data Clustering
Dino Ienco; Ruggero G. Pensa; Rosa Meo
83-94
Semi-supervised Text Classification Using RBF Networks
Eric P. Jiang
95-106
Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles
Manuel Martín-Merino; Javier De Las Rivas
107-118
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
Marianne Mueller; Rómer Rosales; Harald Steck; Sriram Krishnan; Bharat Rao; Stefan Kramer
119-130
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
Costas Panagiotakis; Nikos Pelekis; Ioannis Kopanakis
131-142
Leveraging Call Center Logs for Customer Behavior Prediction
Anju G. Parvathy; Bintu G. Vasudevan; Abhishek Kumar; Rajesh Balakrishnan
143-154
Condensed Representation of Sequential Patterns According to Frequency-Based Measures
Marc Plantevit; Bruno Crémilleux
155-166
ART-Based Neural Networks for Multi-label Classification
Elena P. Sapozhnikova
167-177
Two-Way Grouping by One-Way Topic Models
Eerika Savia; Kai Puolamäki; Samuel Kaski
178-189
Selecting and Weighting Data for Building Consensus Gene Regulatory Networks
Emma Steele; Allan Tucker
190-201
Incremental Bayesian Network Learning for Scalable Feature Selection
Grégory Thibault; Alex Aussem; Stéphane Bonnevay
202-212
Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
Janne Toivola; Jaakko Hollmén
213-224
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 37 entries
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