
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.
- ISBN 13 : 0387342966
- ISBN 10 : 9780387342962
- Judul : Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
- Pengarang : Evangelos Triantaphyllou, Giovanni Felici, Giovanni Felici,
- Kategori : Computers
- Penerbit : Springer Science & Business Media
- Bahasa : en
- Tahun : 2006
- Halaman : 748
- Halaman : 748
- Google Book : https://play.google.com/store/books/details?id=AYJGAAAAQBAJ&source=gbs_api
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Ketersediaan :
METHODS. Andrew Kusiak Intelligent Systems Laboratory Mechanical and
Industrial Engineering 2139 Seamans Center The University of Iowa Iowa City,
Iowa 52242 - 1527 Email andrew-kusiak (du iowa . edu Web: http://www. iCaen.
uiowa. edu/~ank usiak Abstract: Key Words: A typical data mining project uses
data collected for various purposes, ranging from routinely gathered data, to
process improvement projects, and to data required for archival purposes. In
some cases, the ...