1. Data Mining and Statistics — Introduction

   • Heike Hofmann
   • Antony Unwin
   • Adalbert Wilhem

   OriginalPaper 04 November 2019 Pages: 317 - 321

2. Partitioning Algorithms and Combined Model Integration for Data Mining

   • Claudio Conversano
   • Francesco Mola
   • Roberta Siciliano

   OriginalPaper 04 November 2019 Pages: 323 - 339

3. Combining statistical and reinforcement learning in rule-based classification

   • Jorge Muruzábal

   OriginalPaper 04 November 2019 Pages: 341 - 359

   

4. Linguistic Rule Extraction From a Simplified RBF Neural Network

   • Xiuju Fu
   • Lipo Wang

   OriginalPaper 04 November 2019 Pages: 361 - 372

   

5. Bump Hunting for Risk: a New Data Mining Tool and its Applications

   • Ursula Becker
   • Ludwig Fahrmeir

   OriginalPaper 04 November 2019 Pages: 373 - 386

   

6. Statistical Pruning of Discovered Association Rules

   • Dario Bruzzese
   • Cristina Davino

   OriginalPaper 04 November 2019 Pages: 387 - 398

   

7. Visual Comparison of Association Rules

   • Heike Hofmann
   • Adalbert Wilhelm

   OriginalPaper 04 November 2019 Pages: 399 - 415

   

8. Exploring Changes in Census Time Series with Interactive Dynamic Maps and Graphics

   • Natalia Andrienko
   • Gennady Andrienko
   • Peter Gatalsky

   OriginalPaper 04 November 2019 Pages: 417 - 433

   

9. Data Visualization through Graph Drawing

   • George Michailidis
   • Jan de Leeuw

   OriginalPaper 04 November 2019 Pages: 435 - 450

   

10. Neural Network Model Selection for Financial Time Series Prediction

    • Francesco Virili
    • Bernd Freisleben

    OriginalPaper 04 November 2019 Pages: 451 - 463

    

11. Analyzing XploRe Download Profiles with Intelligent Miner

    • Hizir Sofyan
    • Axel Werwatz

    OriginalPaper 04 November 2019 Pages: 465 - 479