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00000nam a22000005i 4500 |
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978-3-540-32548-2 |
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20221012200253.0 |
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|a 9783540325482
|9 978-3-540-32548-2
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|a 10.1007/11677437
|2 doi
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|a 005.74
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|a Data Mining
|h [electronic resource] :
|b Theory, Methodology, Techniques, and Applications /
|c edited by Graham J. Williams, Simeon J. Simoff.
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|a 1st ed. 2006.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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|a XI, 331 p.
|b online resource.
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|a text
|b txt
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|a computer
|b c
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|a online resource
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3755
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|a 1: State-of-the-Art in Research -- Generality Is Predictive of Prediction Accuracy -- Visualisation and Exploration of Scientific Data Using Graphs -- A Case-Based Data Mining Platform -- Consolidated Trees: An Analysis of Structural Convergence -- K Nearest Neighbor Edition to Guide Classification Tree Learning: Motivation and Experimental Results -- Efficiently Identifying Exploratory Rules' Significance -- Mining Value-Based Item Packages - An Integer Programming Approach -- Decision Theoretic Fusion Framework for Actionability Using Data Mining on an Embedded System -- Use of Data Mining in System Development Life Cycle -- Mining MOUCLAS Patterns and Jumping MOUCLAS Patterns to Construct Classifiers -- A Probabilistic Geocoding System Utilising a Parcel Based Address File -- Decision Models for Record Linkage -- Intelligent Document Filter for the Internet -- Informing the Curious Negotiator: Automatic News Extraction from the Internet -- Text Mining for Insurance Claim Cost Prediction -- An Application of Time-Changing Feature Selection -- A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting -- A Multi-level Framework for the Analysis of Sequential Data -- 2: State-of-the-Art in Applications -- Hierarchical Hidden Markov Models: An Application to Health Insurance Data -- Identifying Risk Groups Associated with Colorectal Cancer -- Mining Quantitative Association Rules in Protein Sequences -- Mining X-Ray Images of SARS Patients -- The Scamseek Project - Text Mining for Financial Scams on the Internet -- A Data Mining Approach for Branch and ATM Site Evaluation -- The Effectiveness of Positive Data Sharing in Controlling the Growth of Indebtedness in Hong Kong Credit Card Industry.
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|a Database management.
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|a Artificial intelligence.
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|a Computer science.
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|a Information storage and retrieval systems.
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|a Pattern recognition systems.
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|a Database Management.
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|a Artificial Intelligence.
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|a Theory of Computation.
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|a Information Storage and Retrieval.
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|a Automated Pattern Recognition.
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700 |
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|a Williams, Graham J.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Simoff, Simeon J.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540820697
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776 |
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8 |
|i Printed edition:
|z 9783540325475
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830 |
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3755
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/11677437
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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|a Computer Science (SpringerNature-11645)
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950 |
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|a Computer Science (R0) (SpringerNature-43710)
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