Book Volume 17 2015

Real World Data Mining Applications

ISBN: 978-3-319-07811-3 (Print) 978-3-319-07812-0 (Online)

Table of contents (19 chapters)

  1. Front Matter

    Pages i-xvi

  2. No Access

    Chapter

    Pages 1-12

    Introduction

  3. Established Data Mining Tasks

    1. Front Matter

      Pages 13-13

    2. No Access

      Chapter

      Pages 15-29

      What Data Scientists Can Learn from History

    3. No Access

      Chapter

      Pages 31-50

      On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies

    4. No Access

      Chapter

      Pages 51-70

      PROFIT: A Projected Clustering Technique

    5. No Access

      Chapter

      Pages 71-89

      Multi-label Classification with a Constrained Minimum Cut Model

    6. No Access

      Chapter

      Pages 91-121

      On the Selection of Dimension Reduction Techniques for Scientific Applications

    7. No Access

      Chapter

      Pages 123-136

      Relearning Process for SPRT in Structural Change Detection of Time-Series Data

  4. Business and Management Tasks

    1. Front Matter

      Pages 137-137

    2. No Access

      Chapter

      Pages 139-153

      K-means Clustering on a Classifier-Induced Representation Space: Application to Customer Contact Personalization

    3. No Access

      Chapter

      Pages 155-178

      Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction

  5. Fraud Detection

    1. Front Matter

      Pages 179-179

    2. No Access

      Chapter

      Pages 181-201

      Click Fraud Detection: Adversarial Pattern Recognition over 5 Years at Microsoft

    3. No Access

      Chapter

      Pages 203-219

      A Novel Approach for Analysis of ‘Real World’ Data: A Data Mining Engine for Identification of Multi-author Student Document Submission

    4. No Access

      Chapter

      Pages 221-245

      Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue

  6. Medical Applications

    1. Front Matter

      Pages 247-247

    2. No Access

      Chapter

      Pages 249-269

      A Nearest Neighbor Approach to Build a Readable Risk Score for Breast Cancer

    3. No Access

      Chapter

      Pages 271-295

      Machine Learning for Medical Examination Report Processing

  7. Engineering Tasks

    1. Front Matter

      Pages 297-297

    2. No Access

      Chapter

      Pages 299-324

      Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations

    3. No Access

      Chapter

      Pages 325-342

      A Data Mining Based Method for Discovery of Web Services and their Compositions

    4. No Access

      Chapter

      Pages 343-358

      Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers

    5. No Access

      Chapter

      Pages 359-385

      Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques

    6. No Access

      Chapter

      Pages 387-414

      Multilayer Semantic Analysis in Image Databases

  8. Back Matter

    Pages 415-418