| 書目名稱 | Statistical Implicative Analysis |
| 副標題 | Theory and Applicati |
| 編輯 | Régis Gras,Einoshin Suzuki,Filippo Spagnolo |
| 視頻video | http://file.papertrans.cn/877/876432/876432.mp4 |
| 概述 | Presents latest results in statistical implicative analysis.Includes supplementary material: |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | .Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining...This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.. |
| 出版日期 | Book 2008 |
| 關鍵詞 | Extension; STATISTICA; bioinformatics; calculus; classification; clustering; data analysis; data mining; fuz |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-78983-3 |
| isbn_softcover | 978-3-642-09777-5 |
| isbn_ebook | 978-3-540-78983-3Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2008 |
|Archiver|手機版|小黑屋|
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