2. IDA 1997:
London,
UK
Xiaohui Liu, Paul R. Cohen, Michael R. Berthold (Eds.):
Advances in Intelligent Data Analysis, Reasoning about Data, Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings.
Lecture Notes in Computer Science 1280 Springer 1997, ISBN 3-540-63346-4 BibTeX
@proceedings{DBLP:conf/ida/1997,
editor = {Xiaohui Liu and
Paul R. Cohen and
Michael R. Berthold},
title = {Advances in Intelligent Data Analysis, Reasoning about Data,
Second International Symposium, IDA-97, London, UK, August 4-6,
1997, Proceedings},
booktitle = {IDA},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1280},
year = {1997},
isbn = {3-540-63346-4},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Section I: Exploratory Data Analysis, Preprocessing, and Tools
- Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen:
Decomposition of Heterogeneous Classification Problems.
17-28
Electronic Edition (Springer LINK) BibTeX
- Michael William Muller:
Managing Dialogue in a Statistical Expert Assistant with a Cluster-Based User Model.
29-40
Electronic Edition (Springer LINK) BibTeX
- Catherine C. McGeoch, Doina Precup, Paul R. Cohen:
How to Find Big-Oh in Your Data Set (and How Not to).
41-52
Electronic Edition (Springer LINK) BibTeX
- Ian Berry, Paul Gough:
Data Classification using a W.I.S.E. Toolbox.
53-64
Electronic Edition (Springer LINK) BibTeX
- Tremaine A. O. Cornish:
Mill's Methods for Complete Intelligent Data Analysis.
65-76
Electronic Edition (Springer LINK) BibTeX
- Dawn E. Gregory, Paul R. Cohen:
Integrating Many Techniques for Discovering Structure in Data.
77-88
Electronic Edition (Springer LINK) BibTeX
- Robert Levinson, Jeff Wilkinson:
Meta-Reasoning for Data Analysis Tool Allocation.
89-100
Electronic Edition (Springer LINK) BibTeX
- Robert St. Amant:
Navigation for Data Analysis Systems.
101-109
Electronic Edition (Springer LINK) BibTeX
- Christine L. Tsien, James C. Fackler:
An Annotated Data Collection System to Support Intelligent Analysis of Intensive Care Unit Data.
111-121
Electronic Edition (Springer LINK) BibTeX
- Hairong Yu, Arthur Ramer:
A Combined Approach to Uncertain Data Analysis.
123-134
Electronic Edition (Springer LINK) BibTeX
Section II: Classification and Feature Selection
- Kristina Schädler, Fritz Wysotzki:
A Connectionist Approach to the Distance-Based Analysis of Relational Data.
137-148
Electronic Edition (Springer LINK) BibTeX
- Robin P. Glover, Peter K. Sharpe:
Efficient GA Based Techniques for Automating the Design of Classification Models.
149-160
Electronic Edition (Springer LINK) BibTeX
- Chiou Peng Lam, Geoff A. W. West, Terry Caelli:
Data Representations and Machine Learning Techniques.
161-172
Electronic Edition (Springer LINK) BibTeX
- Suzanne Lo, Fazel Famili:
Development of a Knowledge-Driven Constructive Induction Mechanism.
173-185
Electronic Edition (Springer LINK) BibTeX
- Joao Gama:
Oblique Linear Tree.
187-198
Electronic Edition (Springer LINK) BibTeX
- S. Haring, Joost N. Kok, Michiel C. van Wezel:
Feature Selection for Neural Networks through Functional Links Found by Evolutionary Computation.
199-210
Electronic Edition (Springer LINK) BibTeX
- David Jensen, Tim Oates, Paul R. Cohen:
Building Simple Models: A Case Study with Decision Trees.
211-222
Electronic Edition (Springer LINK) BibTeX
- Massimo Piccardi, Rita Cucchiara, Michele Bariani, Paola Mello:
Exploiting Symbolic Learning in Visual Inspection.
223-234
Electronic Edition (Springer LINK) BibTeX
- Paul D. Scott, R. J. Williams, K. M. Ho:
Forming Categories in Exploratory Data Analysis and Data Mining.
235-246
Electronic Edition (Springer LINK) BibTeX
- Maarten van Someren, Cristina Torres, Floor Verdenius:
A Systematic Description of Greedy Optimisation Algorithms for Cost Sensitive Generalisation.
247-257
Electronic Edition (Springer LINK) BibTeX
- Petko Valtchev, Jérôme Euzenat:
Dissimilarity Measure for Collections of Objects and Values.
259-272
Electronic Edition (Springer LINK) BibTeX
Section III: Medical Applications
Section IV: Soft Computing
Section V: Knowledge Discovery and Data Mining
Section VI: Estimation, Clustering
Section VII: Data Quality
Section VIII: Qualitative Models
Copyright © Sat May 16 23:22:08 2009
by Michael Ley (ley@uni-trier.de)
