This book constitutes the refereed proceedings of the Third International Symposium on Intelligent Data Analysis, IDA-99 held in Amsterdam, The Netherlands in August 1999.
The 21 revised full papers and 23 posters presented in the book were carefully reviewed and selected from a total of more than 100 submissions. The papers address all current aspects of intelligent data analysis; they are organized in sections on learning, visualization, classification and clustering, integration, applications and media mining.

lgrsnf/Cs_Computer science/CsLn_Lecture notes/A/Advances in Intelligent Data Analysis, 3 conf., IDA-99(LNCS1642, Springer, 1999)(ISBN 3540663320)(528s)_CsLn_.pdf

nexusstc/Advances in Intelligent Data Analysis: Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings/67ee2313645ebbace7ccc76055c95ae4.pdf

scihub/10.1007/3-540-48412-4.pdf

zlib/Education Studies & Teaching/International Conferences and Symposiums/Marc Sebban, Gilles Richard (auth.), David J. Hand, Joost N. Kok, Michael R. Berthold (eds.)/Advances in Intelligent Data Analysis: Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 Proceedings_764772.pdf

International Symposium on Intelligent Data Analysis

IDA-99; International Symposium, IDA-99 Amsterdam

Ida-99 (1999 : Amsterdam, Netherlands)

Netherlands) Ida-9 (1999 Amsterdam

David J. Hand [et al.] (eds.)

Hand, David J

Springer Berlin Heidelberg : Imprint: Springer

Springer Spektrum. in Springer-Verlag GmbH

Steinkopff. in Springer-Verlag GmbH

Springer London, Limited

Springer-Verlag Telos

Lecture notes in computer science, 1642, 1st ed. 1999, Berlin, Heidelberg, 1999

Lecture notes in computer science, 1642, Berlin ; New York, ©1999

Springer Nature, Berlin, Heidelberg, 2003

Berlin [etc.], Unknown, 1999

Germany, Germany

1, 1999 jul 08

August 1999

Kolxo3

sm38352754

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Formanyyearstheintersectionofcomputing Anddataanalysiscontainedme- Based Statistics Packages And Not Much Else. Recently, Statisticians Have - Braced Computing, Computer Scientists Have Started Using Statistical Theories And Methods, And Researchers In All Corners Have Invented Algorithms To Nd Structure In Vast Online Datasets. Data Analysts Now Have Access To Tools For Exploratory Data Analysis, Decision Tree Induction, Causal Induction, Function - Timation,constructingcustomizedreferencedistributions,andvisualization,and Thereareintelligentassistantsto Adviseonmatters Ofdesignandanalysis.there Aretoolsfortraditional,relativelysmallsamples,andalsoforenormousdatasets. In All, The Scope For Probing Data In New And Penetrating Ways Has Never Been So Exciting. The Ida-99 Conference Brings Together A Wide Variety Of Researchers C- Cerned With Extracting Knowledge From Data, Including People From Statistics, Machine Learning, Neural Networks, Computer Science, Pattern Recognition, Da- Base Management, And Other Areas.the Strategiesadopted By People From These Areas Are Often Di Erent, And A Synergy Results If This Is Recognized. The Ida Series Of Conferences Is Intended To Stimulate Interaction Between These Di Erent Areas,sothatmorepowerfultoolsemergeforextractingknowledgefromdataand A Better Understanding Is Developed Of The Process Of Intelligent Data Analysis. The Result Is A Conference That Has A Clear Focus (one Application Area:intelligent Data Analysis) And A Broad Scope (many Di Erent Methods And Techniques). Learning -- From Theoretical Learnability To Statistical Measures Of The Learnable -- Alm: A Methodology For Designing Accurate Linguistic Models For Intelligent Data Analysis -- A “top-down And Prune” Induction Scheme For Constrained Decision Committees -- Mining Clusters With Association Rules -- Evolutionary Computation To Search For Strongly Correlated Variables In High-dimensional Time-series -- The Biases Of Decision Tree Pruning Strategies -- Feature Selection As Retrospective Pruning In Hierarchical Clustering -- Discriminative Power Of Input Features In A Fuzzy Model -- Learning Elements Of Representations For Redescribing Robot Experiences -- “seeing“ Objects In Spatial Datasets -- Intelligent Monitoring Method Using Time Varying Binomial Distribution Models For Pseudo-periodic Communication Traffic -- Visualization -- Monitoring Human Information Processing Via Intelligent Data Analysis Of Eeg Recordings --^ Knowledge-based Visualization To Support Spatial Data Mining -- Probabilistic Topic Maps: Navigating Through Large Text Collections -- 3d Grand Tour For Multidimensional Data And Clusters -- Classification And Clustering -- A Decision Tree Algorithm For Ordinal Classification -- Discovering Dynamics Using Bayesian Clustering -- Integrating Declarative Knowledge In Hierarchical Clustering Tasks -- Nonparametric Linear Discriminant Analysis By Recursive Optimization With Random Initialization -- Supervised Classification Problems: How To Be Both Judge And Jury -- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification -- Exploiting Similarity For Supporting Data Analysis And Problem Solving -- Multiple Prototype Model For Fuzzy Clustering -- A Comparison Of Genetic Programming Variants For Data Classification -- Fuzzy Clustering Based On Modified Distance Measures -- Building Classes In Object-based Languages By Automatic Clustering -- Integration --^ Adjusted Estimation For The Combination Of Classifiers -- Data-driven Theory Refinement Using Kbdistal -- Reasoning About Input-output Modeling Of Dynamical Systems -- Undoing Statistical Advice -- A Method For Temporal Knowledge Conversion -- Applications -- Intrusion Detection Through Behavioral Data -- Bayesian Neural Network Learning For Prediction In The Australian Dairy Industry -- Exploiting Sample-data Distributions To Reduce The Cost Of Nearest-neighbor Searches With Kd-trees -- Pump Failure Detection Using Support Vector Data Descriptions -- Data Mining For The Detection Of Turning Points In Financial Time Series -- Computer-assisted Classification Of Legal Abstracts -- Sequential Control Logic Inferring Method From Observed Plant I/o Data -- Evaluating An Eye Screening Test -- Application Of Rough Sets Algorithms To Prediction Of Aircraft Component Failure -- Media Mining -- Exploiting Structural Information For Text Classification On The Www --^ Multi-agent Web Information Retrieval: Neural Network Based Approach -- Adaptive Information Filtering Algorithms -- A Conceptual Graph Approach For Video Data Representation And Retrieval. David J. Hand, Joost N. Kok, Michael R. Berthold (eds.).

From Theoretical Learnability to Statistical Measures of the Learnable....Pages 3-14
ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis....Pages 15-26
A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees....Pages 27-38
Mining Clusters with Association Rules....Pages 39-50
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series....Pages 51-62
The Biases of Decision Tree Pruning Strategies....Pages 63-74
Feature Selection as Retrospective Pruning in Hierarchical Clustering....Pages 75-86
Discriminative Power of Input Features in a Fuzzy Model....Pages 87-98
Learning Elements of Representations for Redescribing Robot Experiences....Pages 99-110
“Seeing“ Objects in Spatial Datasets....Pages 111-122
Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic....Pages 123-134
Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings....Pages 137-148
Knowledge-Based Visualization to Support Spatial Data Mining....Pages 149-160
Probabilistic Topic Maps: Navigating through Large Text Collections....Pages 161-172
3D Grand Tour for Multidimensional Data and Clusters....Pages 173-184
A Decision Tree Algorithm for Ordinal Classification....Pages 187-198
Discovering Dynamics Using Bayesian Clustering....Pages 199-209
Integrating Declarative Knowledge in Hierarchical Clustering Tasks....Pages 211-222
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization....Pages 223-234
Supervised Classification Problems: How to Be Both Judge and Jury....Pages 235-244
Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification....Pages 245-256
Exploiting Similarity for Supporting Data Analysis and Problem Solving....Pages 257-268
Multiple Prototype Model for Fuzzy Clustering....Pages 269-279
A Comparison of Genetic Programming Variants for Data Classification....Pages 281-290
Fuzzy Clustering Based on Modified Distance Measures....Pages 291-301
Building Classes in Object-Based Languages by Automatic Clustering....Pages 303-314
Adjusted Estimation for the Combination of Classifiers....Pages 317-330
Data-Driven Theory Refinement Using KBDistAl....Pages 331-342
Reasoning about Input-Output Modeling of Dynamical Systems....Pages 343-355
Undoing Statistical Advice....Pages 357-367
A Method for Temporal Knowledge Conversion....Pages 369-380
Intrusion Detection through Behavioral Data....Pages 383-394
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry....Pages 395-406
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees....Pages 407-414
Pump Failure Detection Using Support Vector Data Descriptions....Pages 415-425
Data Mining for the Detection of Turning Points in Financial Time Series....Pages 427-436
Computer-Assisted Classification of Legal Abstracts....Pages 437-448
Sequential Control Logic Inferring Method from Observed Plant I/O Data....Pages 449-460
Evaluating an Eye Screening Test....Pages 461-471
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure....Pages 473-484
Exploiting Structural Information for Text Classification on the WWW....Pages 487-497
Multi-agent Web Information Retrieval: Neural Network Based Approach....Pages 499-511
Adaptive Information Filtering Algorithms....Pages 513-524
A Conceptual Graph Approach for Video Data Representation and Retrieval....Pages 525-536

2011-01-08