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datamining01
- 序列模式的概念最早是由Agrawal和Srikant 提出的 序列模式定义：给定一个由不同序列组成的集合，其中，每个序列由不同的元素按顺序有序排列，每个元素由不同项目组成，同时给定一个用户指定的最小支持度阈值，序列模式挖掘就是找出所有的频繁子序列，即该子序列在序列集中的出现频率不低于用户指定的最小支持度阈值-sequential pattern is the earliest concept of Agrawal and Srika
rules1
- 关联规则程序2 This implementation generates association rules, based on the Apriori algorithm (cfr. Agrawal et al.,1995). It takes as input a file of frequent sets in the format such as generated by the previous implementati
fpgrowth
- This implementation generates association rules, based on the Apriori algorithm (cfr. Agrawal et al.,1995). It takes as input a file of frequent sets in the format such as generated by the previous implementations.
myApriori
- apriori java 实现 * A program to find association rules with the apriori algorithm (Agrawal et al. 1993).<br> * Other than the standard apriori algorithm, this program enable to find<br> * apriori all relation.
myApriori
- apriori java 实现 * A program to find association rules with the apriori algorithm (Agrawal et al. 1993).<br> * Other than the standard apriori algorithm, this program enable to find<br> * apriori all relation.
datamining01
- 序列模式的概念最早是由Agrawal和Srikant 提出的 序列模式定义：给定一个由不同序列组成的集合，其中，每个序列由不同的元素按顺序有序排列，每个元素由不同项目组成，同时给定一个用户指定的最小支持度阈值，序列模式挖掘就是找出所有的频繁子序列，即该子序列在序列集中的出现频率不低于用户指定的最小支持度阈值-sequential pattern is the earliest concept of Agrawal and Srika
rules1
- 关联规则程序2 This implementation generates association rules, based on the Apriori algorithm (cfr. Agrawal et al.,1995). It takes as input a file of frequent sets in the format such as generated by the previous implementati
fpgrowth
- This implementation generates association rules, based on the Apriori algorithm (cfr. Agrawal et al.,1995). It takes as input a file of frequent sets in the format such as generated by the previous implementations.
ibm
- 生成测试集,要做数据挖掘的关联规则试验，少不了数据集，人工生成的数据集可以采用agrawal等人实现的一个数据集生成器，叫：IBM Quest Market-Basket Synthetic Data Generator-生成测试集
apriori
- A program to find association rules and frequent item sets (also closed and maximal) with the apriori algorithm (Agrawal et al. 1993), which carries out a breadth first search on the subset lattice and determines the sup
ssprop-3.0.1
- 非线性光纤光学配套的一些实例matlab演示文件，可以更深刻的了解书本内容。美国，Govind P. Agrawal -Nonlinear fiber optics supporting some of the examples of matlab demo files, you can gain a deeper understanding of book content. The United States, Govind P. A
surv
- A Survey of Energy Efficient Network Protocols forWireless Networks ∗ CHRISTINE E. JONES ∗ ∗ BBN Technologies, Cambridge, MA 02138, USA KRISHNA M. SIVALINGAM∗ ∗ ∗ School of EECS
agrawal
- agrawal assosiation Rule
apriori
- Apriori算法【l】：1994年由R．Agrawal等人提出来的Apriori算法是 关联规则挖掘的一个经典算法，后来的许多算法都是基于该算法的思想。算 法的名称来源于在算法中应用了频繁项集的先验知识，即：一个频繁项集的 任一非空子集必定是频繁项集；因此只要某一项集是非频繁的，则其超集就 无须再检验。-Apriori algorithm】 【l: 1994 by R. Agrawal et al to the Apr
STUDY-OF-WIND-TURBINE-DRIVEN-DFIG-USING-ACDCAC-CO
- This to certify that the sis entitled, “Study Of Wind Turbine Driven Induction Generator Using AC/DC/AC converter” submitted by Ashish Kumar Agrawal, Bhaskar Munshi and Srikant Kayal in partial fulfillment of the r
book
- 美国著名教授agrawal写的非线性光学原理及应用，是一本很好的学习非线性光学的书籍，里面包含了中文和英文版本-Written by American professors agrawal nonlinear optics and applications, is a good learning books on nonlinear optics, which includes the Chinese and English versi
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- NLSE by agrawal implemented in matlab stimulated raman Third harmonic generation SPM and GVD
NLSE
- G P Agrawal所在课题组编写的超短脉冲传输研究，自相位调制，交叉调制，孤子脉冲等，非常强大，学习非线性光纤光学的应该来看看。-GP Agrawal where the group prepared the transmission of ultrashort pulses, self-phase modulation, cross modulation, soliton pulse, etc., are very strong,
Agrawal-examples
- The codes of Agrawal Book Nonlinear Fiber Optics .-The codes of Agrawal Book Nonlinear Fiber Optics .
agrawal
- agrawal assosiation Rule