000 | 05582nam a22006615i 4500 | ||
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001 | 978-3-540-48412-7 | ||
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_a9783540484127 _9978-3-540-48412-7 |
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_a10.1007/3-540-48412-4 _2doi |
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_aAdvances in Intelligent Data Analysis _h[electronic resource] : _bThird International Symposium, IDA-99 Amsterdam, The Netherlands, August 9-11, 1999 Proceedings / _cedited by David J Hand, Joost N. Kok, Michael R. Berthold. |
250 | _a1st ed. 1999. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999. |
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300 |
_aXII, 544 p. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v1642 |
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505 | 0 | _aLearning -- 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 onModified 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. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aComputer vision. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aPattern recognition systems. | |
650 | 0 | _aBusiness information services. | |
650 | 1 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aComputer Vision. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aAutomated Pattern Recognition. |
650 | 2 | 4 | _aIT in Business. |
700 | 1 |
_aHand, David J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aKok, Joost N. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aBerthold, Michael R. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540663324 |
776 | 0 | 8 |
_iPrinted edition: _z9783662173565 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v1642 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-48412-4 |
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912 | _aZDB-2-LNC | ||
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942 | _cSPRINGER | ||
999 |
_c188637 _d188637 |