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Titlebook: Knowledge Discovery in Multiple Databases; Shichao Zhang,Chengqi Zhang,Xindong Wu Book 2004 Springer-Verlag London 2004 Association rule.D

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發(fā)表于 2025-3-21 17:20:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Knowledge Discovery in Multiple Databases
編輯Shichao Zhang,Chengqi Zhang,Xindong Wu
視頻videohttp://file.papertrans.cn/544/543879/543879.mp4
概述The only book that covers the emerging topic of multiple database mining.Focuses on developing new techniques for multi-database mining.Urgent need to analyse data in multi-databases as a great deal o
叢書名稱Advanced Information and Knowledge Processing
圖書封面Titlebook: Knowledge Discovery in Multiple Databases;  Shichao Zhang,Chengqi Zhang,Xindong Wu Book 2004 Springer-Verlag London 2004 Association rule.D
描述Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au- thors who have developed a local pattern analysis, a new strategy for dis- covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv- ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe- culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter- esting issues under the framework of local pattern analysis. The book is intended for re
出版日期Book 2004
關鍵詞Association rule; Data Mining; Database Classification; Framework; Multi Database Mining; algorithms; data
版次1
doihttps://doi.org/10.1007/978-0-85729-388-6
isbn_softcover978-1-4471-1050-7
isbn_ebook978-0-85729-388-6Series ISSN 1610-3947 Series E-ISSN 2197-8441
issn_series 1610-3947
copyrightSpringer-Verlag London 2004
The information of publication is updating

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Conclusions and Future Work,a in multi-databases can be merged into a single dataset for knowledge discovery, such merging can lead to many problematic issues such as tremendous amounts of data, the destruction of data distributions, and the infiltration of uninteresting attributes, as well as security and privacy concerns. In
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Shichao Zhang PhD, MSc,Chengqi Zhang PhD,MSc, BSc, DSc,Xindong Wu PhD,MScloops, classes which are encoded by “syzygy sequences” when .?=?3. This expository piece centers on the question “ Is every free homotopy class of loops realized by a periodic solution to the problem?” We report on the recent affirmative answer (Moeckel and Montgomery, Nonlinearity 28:1919–1935, 201
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