搜索资源列表
DataAnalyze
- 数据挖掘算法，从文本中读取数据，耗时少，效率高-data mining algorithms, reading from the text data and less time-consuming, high efficiency
ID3code
- id3算法进行决策树生成 以信息增益最大的属性作为分类属性，生成决策树，从而得出决策规则。id3的源码决策树最全面最经典的版本.id3决策树的实现及其测试数据.id3 一个有用的数据挖掘算法，想必对大家会有所帮助！-id3 decision tree algorithms to generate information gain the greatest attribute as a classification attributes, generate decision tree, Thus,
Theclassicalid3
- id3的源码决策树最全面最经典的版本.id3决策树的实现及其测试数据.id3 一个有用的数据挖掘算法，想必对大家会有所帮助！id3算法进行决策树生成 以信息增益最大的属性作为分类属性，生成决策树，从而得出决策规则。-id3 the most comprehensive source Decision Tree classic version. Id3 decision tree and the achievement test data. I d3 a useful data mining al
BEAlgorithm2007
- 这个算法基于数据挖掘功能实现发掘数据的最优途径-Based on the data mining algorithms to achieve functional data to explore the optimal way
apriori11
- 数据挖掘的一个很重要的算法，用来是实现数据的提取。-Data Mining is a very important algorithm is used for data extraction.
weka-cd
- R language dataset generate program. And data mining for data stream.
K-NearestNeighbors
- DATA MINING k-MEANS USING vb IN A EXCEL FILE IT IS A MACRO BASED PROGRAM
Data.Mining.PML.Tools.and.Tech
- Morgan Kaufmann Data Mining Practical Machine Learning Tools and Techniques Second Edition Jun 2005
DataShopForDataMining
- DataShopForDataMining 数据仓库与数据挖掘 基于统计方法的数据库信息-DataShopForDataMining data warehouse and data mining database information based on statistical methods
knn
- 这是一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳。 K-nearest neighbor search已经广泛应用在科学与工程上，比如模式识别，数据挖掘和信号处理。 -This is a small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm J
shujucangku
- 廖开际的数据仓库与数据挖掘电子参考书，很实用-Liao open interpersonal data warehouse and data mining to electronic reference book, very practical
DetectNovelClass
- 一种数据挖掘分类算法的实现函数(续)，可以了解一下。-data mining algorithm.
introduction[1]
- Data Mining: Concepts et Techniques
the-futiure-ofdata-mining
- 关于数据挖掘前景的英语论文翻译，介绍了数据挖掘的相关技术和前景-About Data mining prospects Papers in English translation, describes the relevant technologies and data mining prospects