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star_zhang

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[资源] 《Data Mining In Finance_Advances In Relational And Hybrid Method》

【英美经典书籍】《Data Mining In Finance_Advances In Relational And Hybrid Method》【已搜索，无重复】

【已搜索，无重复】论坛里，有1个同名的帖子，连接已经失效了。
失效链接地址：http://muchong.com/bbs/viewthread.php?tid=3446686&fpage=1&target=blank
为此，我上传这本书，供朋友们学习和参考。

我上传的这本书：
作者：Boris Kovalerchuk, Evgenii Vityaev
2002年，323 页，PDF 格式，21 MB。
Language: English
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封面：
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简介：

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining (RDM), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial mining, because it is able to make greater use of underlying domain knowledge. Relational data mining also has a better ability to explain the discovered rules - an ability critical for avoiding spurious patterns which inevitably arise when the number of variables examined is very large. The earlier algorithms for relational data mining, also known as inductive logic programming (ILP), suffer from a relative computational inefficiency and have rather limited tools for processing numerical data.
Data Mining in Finance introduces a new approach, combining relational data mining with the analysis of statistical significance of discovered rules. This reduces the search space and speeds up the algorithms. The book also presents interactive and fuzzy-logic tools for `mining' the knowledge from the experts, further reducing the search space.
Data Mining in Finance contains a number of practical examples of forecasting S&P 500, exchange rates, stock directions, and rating stocks for portfolio, allowing interested readers to start building their own models. This book is an excellent reference for researchers and professionals in the fields of artificial intelligence, machine learning, data mining, knowledge discovery, and applied mathematics.
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数据挖掘的相关书籍，如下：
（1）【英美经典书籍】《Data Mining: Concepts and Techniques》(第2版)
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251312
（2）《Data Mining_Concepts and Techniques（第2版）Solution manual》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251370
（3）【英美经典书籍】《Data Mining: Concepts, Models, Methods, and Algorithms》英文版&中文版
链接地址：http://muchong.com/bbs/viewthread.php?tid=8250853
（4）【英美最新教材】《商务数据科学 - 数据挖掘... ...，2013年》
链接地址：http://muchong.com/bbs/viewthread.php?tid=6381625&fpage=1&target=blank
（5）【英美经典教材】《Data Mining and Statistics for Decision Making》
链接地址：http://muchong.com/bbs/viewthread.php?tid=5831063&fpage=1&target=blank
（6）【英美经典书籍】《从复杂数据中知识挖掘的高级方法》(英文彩色高清)
链接地址：http://muchong.com/bbs/viewthread.php?tid=6524255&fpage=1&target=blank
（7）【英美经典书籍】《Data Mining Techniques for the Life Sciences》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251444
（8）《Data Mining In Finance_Advances In Relational And Hybrid Method》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8251598
（9）【英美经典书籍】《Fundamentals of Data Mining in Genomics and Proteomics》
链接地址：http://muchong.com/bbs/post.php?action=edit&fid=144&tid=8251936
（10）《Medical Informatics: Knowledge Management and Data Mining in Biomedicine》
链接地址：http://muchong.com/bbs/viewthread.php?tid=8252584
（11）。。。

陆续推出中，敬请关注，。。。。。。
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敬请各位朋友，下载之后，给个回帖评价。我也好继续推出下一个最新科技书籍。
(不下载，也可以评价。)
谢谢！

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2014-12-04 20:06:49, 21.43 M

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