| 書目名稱 | Knowledge Discovery and Measures of Interest |
| 編輯 | Robert J. Hilderman,Howard J. Hamilton |
| 視頻video | http://file.papertrans.cn/544/543862/543862.mp4 |
| 叢書名稱 | The Springer International Series in Engineering and Computer Science |
| 圖書封面 |  |
| 描述 | .Knowledge Discovery and Measures of Interest. is areference book for knowledge discovery researchers, practitioners, andstudents. The knowledge discovery researcher will find that thematerial provides a theoretical foundation for measures of interest indata mining applications where diversity measures are used to ranksummaries generated from databases. The knowledge discoverypractitioner will find solid empirical evidence on which to basedecisions regarding the choice of measures in data miningapplications. The knowledge discovery student in a seniorundergraduate or graduate course in databases and data mining willfind the book is a good introduction to the concepts and techniques ofmeasures of interest..In .Knowledge Discovery and Measures of Interest., we study twoclosely related steps in any knowledge discovery system: thegeneration of discovered knowledge; and the interpretation andevaluation of discovered knowledge. In the generation step, we studydata summarization, where a single dataset can be generalized in manydifferent ways and to many different levels of granularity accordingto domain generalization graphs. In the interpretation and evaluationstep, we study diversity m |
| 出版日期 | Book 2001 |
| 關(guān)鍵詞 | algorithms; data mining; database; databases; graphs; heuristics; knowledge; knowledge discovery; patterns |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4757-3283-2 |
| isbn_softcover | 978-1-4419-4913-4 |
| isbn_ebook | 978-1-4757-3283-2Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 2001 |
|Archiver|手機(jī)版|小黑屋|
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