Data Mining  Theory, Methodology, Techniques, and Applications /  [electronic resource] : 
edited by Graham J. Williams, Simeon J. Simoff. 
 - 1st ed. 2006. 
 - XI, 331 p.  online resource. 
 - Lecture Notes in Artificial Intelligence,  3755  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  3755 .
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9783540325482 
<br/><br/><label>Standard No.: </label>10.1007/11677437  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Database management.<br/>Artificial intelligence.<br/>Computer science.<br/>Information storage and retrieval systems.<br/>Pattern recognition systems.<br/>Database Management.<br/>Artificial Intelligence.<br/>Theory of Computation.<br/>Information Storage and Retrieval.<br/>Automated Pattern Recognition.
<br/><br/><label>LC Class. No.: </label>QA76.9.D3 
<br/><br/><label>Dewey Class. No.: </label>005.74