Data Mining Techniques and Applications
An Introduction
(Sprache: Englisch)
This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach. Aimed primarily at undergraduate readers, it...
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This concise and approachable introduction to data mining selects a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach. Aimed primarily at undergraduate readers, it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on data mining techniques, that readers can put into practice as they go along using the freely downloadable Weka toolkit.Author Hongbo Du shares his years of commercial, as well as research-based, experience in the field through extensive examples and real-world case studies, highlighting how data mining solutions provided by software tools are used in practical problem solving. Covering not only traditional areas of data mining such as association, clustering and classification, this text also explains topics such as data warehousing, online-analytic processing, and text mining.
Inhaltsverzeichnis zu „Data Mining Techniques and Applications “
1. Introduction2. Principles of Data Mining3. Data, Data Pre-processing and Data Exploration4. Basic Techniques for Cluster Detection5. Advanced Techniques for Cluster Detection6. Decision Tree Induction Techniques for Classification7. Other Techniques for Classification8. Techniques for Boolean Association Rule Discovery9. Techniques for Other Types of Association Rules10. Data Mining in Practice
Autoren-Porträt von Hongbo Du
Hongbo Du is a lecturer in the Applied Computing Department, University of Buckingham, and specializes in database systems and data mining. He has been teaching data mining to undergraduate students and taught master students since 1997. He also designed and taught a similar course at City University London between 1998 and 2004, and more recently at Sarajevo School of Science and Technology. Author of a number of publications in the field, he has been involved with commercial data mining projects. He is also a visiting senior lecturer at Sarajevo School of Science and Technology.
Bibliographische Angaben
- Autor: Hongbo Du
- 2010, Kartoniert (TB), Englisch
- Verlag: CL Excl Vocatn
- ISBN-10: 1844808912
- ISBN-13: 9781844808915
Sprache:
Englisch
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