Corpus ID: 32282470

Data mining - a hands-on approach for business professionals

@inproceedings{Groth1997DataM,
  title={Data mining - a hands-on approach for business professionals},
  author={R. Groth},
  year={1997}
}
  • R. Groth
  • Published 1997
  • Computer Science
  • Series Foreword. Foreword. Preface. Acknowledgments. 1. Introduction to Data Mining. What is Data Mining? Classification Studies (Supervised Learning). Clustering Studies (Unsupervised Learning). Visualization. Why Use Data Mining? 1.3 How Do You Mine Data? Data Preparation. Defining a Study. Reading Your Data and Building a Model. Understanding the Model. Prediction. Data Mining Models. Decision Trees. Genetic Algorithms. Neural Nets. Agent Network Technology. Hybrid Models. Statistics. Data… CONTINUE READING
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