Advances in Intelligent Data Analysis. Reasoning about Data Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Liu, Xiaohui (Editor, http://id.loc.gov/vocabulary/relators/edt), Cohen, Paul (Editor, http://id.loc.gov/vocabulary/relators/edt), Berthold, Michael R. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.
• Edition: 1st ed. 1997.
• Series: Lecture Notes in Computer Science, 1280
• Subjects: Database management.; Artificial intelligence.; Information storage and retrieval.; Pattern recognition.; Computational complexity.; Information technology.; Business-Data processing.; Database Management.; Artificial Intelligence.; Information Storage and Retrieval.; Pattern Recognition.; Complexity.; IT in Business.

 This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models. 

 Intelligent data analysis: Issues and opportunities -- Decomposition of heterogeneous classification problems -- Managing dialogue in a statistical expert assistant with a cluster-based user model -- How to find big-oh in your data set (and how not to) -- Data classification using a W.I.S.E. toolbox -- Mill's methods for complete Intelligent Data Analysis -- Integrating many techniques for discovering structure in data -- Meta-Reasoning for Data Analysis Tool Allocation -- Navigation for data analysis systems -- An annotated data collection system to support intelligent analysis of Intensive Care Unit data -- A combined approach to uncertain data analysis -- A connectionist approach to the distance-based analysis of relational data -- Efficient GA based techniques for automating the design of classification models -- Data representations and machine learning techniques -- Development of a knowledge-driven constructive induction mechanism -- Oblique linear tree -- Feature selection for neural networks through functional links found by evolutionary computation -- Building simple models: A case study with decision trees -- Exploiting symbolic learning in visual inspection -- Forming categories in exploratory data analysis and data mining -- A systematic description of greedy optimisation algorithms for cost sensitive generalisation -- Dissimilarity measure for collections of objects and values -- ECG segmentation using time-warping -- Interpreting longitudinal data through temporal abstractions: An application to diabetic patients monitoring -- Intelligent support for multidimensional data analysis in environmental epidemiology -- Network performance assessment for Neurofuzzy data modelling -- A genetic approach to fuzzy clustering with a validity measure fitness function -- The analysis of artificial neural network data models -- Simulation data analysis using Fuzzy Graphs -- Mathematical analysis of fuzzy classifiers -- Neuro-fuzzy diagnosis system with a rated diagnosis reliability and visual data analysis -- Genetic Fuzzy Clustering by means of discovering membership functions -- A strategy for increasing the efficiency of rule discovery in data mining -- Intelligent text analysis for dynamically maintaining and updating domain knowledge bases -- Knowledge discovery in endgame databases -- Parallel induction algorithms for data mining -- Data analysis for query processing -- Datum discovery -- A connectionist approach to extracting knowledge from databases -- A modulated Parzen-windows approach for probability density estimation -- Improvement on estimating quantites in finite population using indirect methods of estimation -- Robustness of clustering under outliers -- The BANG-clustering system: Grid-based data analysis -- Techniques for dealing with missing values in classification -- The use of exogenous knowledge to learn Bayesian Networks from incomplete databases -- Reasoning about outliers by modelling noisy data -- Reasoning about sensor data for automated system identification -- Modelling discrete event sequences as state transition diagrams -- Detecting and describing patterns in time-varying data using wavelets -- Diagnosis of tank ballast systems -- Qualitative uncertainty models from random set theory.