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Description: 关于数据仓库与数据挖掘的文档
介绍了数据仓库和在线分析处理OLAP,介绍了数据仓库的演化，用途，联机分析处理，应用价值，与操作型DBS,数据仓库的特征，数据分级，元数据，粒度与分割，概念模型，开发模式，架构设计，是一本不可多得的详细介绍数据仓库数据挖掘的书籍。-On the Data Warehouse and Data Mining of the document describes a data warehouse and online analytical processing OLAP, data warehousing describes the evolution, usage, online analytical processing, application value, and operation-based DBS, the characteristics of data warehouse, data classification, metadata data, particle size and segmentation, conceptual model, development model, architecture design, is a rare detailed description of data warehouse data mining books.
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Size: 387072 |
Author: gong |
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Description: 我一直覺得 SVM 是個很有趣的東西，不過也一直沒辦法 (mostly 衝堂) 去聽林智仁老師 的 Data mining 跟 SVM 的課； 後來看了一些網路上的文件跟聽 kcwu 講了一下 libsvm 的用法後，就想整理一下，算是對於並不需要知道完整 SVM 理論的人提供使用 libsvm 的入門。-I always think that SVM is a very interesting thing, however, has been no way to (mostly red hall) to listen to the teacher Lin Zhiren Data mining with SVM class was reading some documents on the web to listen to kcwu talked about with the usage of libsvm later, wanted to tidy up can be considered for the SVM does not need to know the complete theory of entry to provide the use of libsvm.
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Size: 24576 |
Author: Alec |
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Description: This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book.
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Size: 8158208 |
Author: sisi002 |
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Description: Periodic pattern mining is the problem that regards tempo-
ral regularity. There are many emerging applications in periodic pattern
mining, including web usage recommendation, weather prediction, com-
puter networks and biological data. In this paper, we propose a Pro-
gressive Timelist-Based Veri cation (PTV) method to the mining of pe-
riodic patterns from a sequence of event sets. The parameter min rep,
is employed to specify the minimum number of repetitions required for
a valid segment of non-disrupted pattern occurrences. We also describe
a partitioning approach to handle extra large/long data sequence. The
experiments demonstrate good performance and scalability with large
frequent patterns.
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Size: 161792 |
Author: Moorthi |
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Description: 关联规则挖掘算法，带有完整的测试用例和用法说明-Association rule mining algorithm, test cases with complete instructions and usage
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Size: 295936 |
Author: 华仔 |
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Description: Matlab code for data mining and some samples for easy usage!!!
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Size: 50238464 |
Author: DecentMan |
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