Third IEEE International Conference on Data Mining
ICDM 2003 :proceedings : 19-22 November, 2003, Melbourne, Florida
ICDM '03 brings together researchers and practitioners who describe their original research results and practical development experiences in Data Mining technology. The papers explore subjects in many related data-mining areas such as machine learning, automated scientific discovery, statistics, pattern recognition, knowledge acquisition, soft computing, databases, data warehousing, data visualization, and knowledge-based systems. Data mining is an emerging and highly interdisciplinary field. The ICDM '03 proceedings cover a broad and diverse range of topics related to data-mining theory, systems, and applications.
- ISBN 13 : 9780769519784
- ISBN 10 : 0769519784
- Judul : Third IEEE International Conference on Data Mining
- Sub Judul : ICDM 2003 :proceedings : 19-22 November, 2003, Melbourne, Florida
- Pengarang : IEEE Computer Society. Technical Committee on Computational Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence,
- Kategori : Computers
- Penerbit : IEEE
- Bahasa : en
- Tahun : 2003
- Halaman : 757
- Halaman : 757
- Google Book : http://books.google.com/books?id=qmoiAQAAMAAJ&dq=intitle:Data+Mining&hl=&source=gbs_api
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Ketersediaan :
However, the support-raising technique can free us from setting minimum support
without sacrificing the performance. 5 Related Work Agrawal and Srikant [1]
introduced the sequential pattern mining problem. Efficient algorithms like GSP [8
], ...