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Imperial Library
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Index
Cover
Frontmatter
Introduction
1. Established Data Mining Tasks
What Data Scientists Can Learn from History
On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies
PROFIT: A Projected Clustering Technique
Multi-label Classification with a Constrained Minimum Cut Model
On the Selection of Dimension Reduction Techniques for Scientific Applications
Relearning Process for SPRT in Structural Change Detection of Time-Series Data
2. Business and Management Tasks
K-means Clustering on a Classifier-Induced Representation Space: Application to Customer Contact Personalization
Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction
3. Fraud Detection
Click Fraud Detection: Adversarial Pattern Recognition over 5 Years at Microsoft
A Novel Approach for Analysis of ‘Real World’ Data: A Data Mining Engine for Identification of Multi-author Student Document Submission
Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue
4. Medical Applications
A Nearest Neighbor Approach to Build a Readable Risk Score for Breast Cancer
Machine Learning for Medical Examination Report Processing
5. Engineering Tasks
Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations
A Data Mining Based Method for Discovery of Web Services and their Compositions
Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers
Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques
Multilayer Semantic Analysis in Image Databases
Backmatter
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