Data Mining Theory, Methodology, Techniques, and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Williams, Graham J. (Επιμελητής έκδοσης), Simoff, Simeon J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computer Science, 3755
• Θέματα: Computer science.; Computers.; Database management.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Computer Science.; Database Management.; Artificial Intelligence (incl. Robotics).; Computation by Abstract Devices.; Information Storage and Retrieval.; Pattern Recognition.

Πίνακας περιεχομένων:

• 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.