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Advances in Intelligent Data Analysis Reasoning about Data [electronic resource] :Second International Symposium, IDA-97 London, UK, August 4–6, 1997 Proceedings /

Contributor(s): Liu, Xiaohui [editor.] | Cohen, Paul [editor.] | Berthold, Michael [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1280Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.Description: XIII, 627 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540695202.Subject(s): Computer science | Information technology | Business -- Data processing | Database management | Information storage and retrieval | Artificial intelligence | Pattern recognition | Complexity, Computational | Computer Science | Database Management | Artificial Intelligence (incl. Robotics) | Information Storage and Retrieval | Pattern Recognition | Complexity | IT in BusinessOnline resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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