4 edition of Data mining and knowledge discovery handbook found in the catalog.
Includes bibliographical references and index.
|The Physical Object|
|Pagination||xvi, 87 p. :|
|Number of Pages||65|
nodata File Size: 5MB.
Hasil evaluasi pelaksanaan subsidi/bantuan pembiayaan penyelenggaraan sekolah dasar negeri tahun anggaran 1981/1982, November s/d Desember 1981
… Each chapter contains a long list of references for further investigation. - Evolutionary algorithms for data mining. - Part I Preprocessing methods. - Part II Supervised methods. - Part III Unsupervised methods. com to load tweets curated by our Twitter account.
- Data mining for intrusion detection. The methods applied to these data span the gamut from Artificial Intelligence to neural networks. - Introduction to supervised methods. - Data mining for selection of manufacturing processes. - Reinforcement-learning: an overview from a data mining perspective. This handbook focuses on Data Envelopment Analysis DEA applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness.
Table of ContentsIntroduction to knowledge discovery in databases.
- Reinforcement-learning: an overview from a data mining perspective.
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining DM and knowledge discovery in databases KDD into a coherent and unified repository.
His main areas of interest are Data Mining, Pattern Recognition, and Recommender Systems.
- Part IV Soft computing methods.