搜索资源列表
projet
- 一个模拟weka的系统，输入文件格式和weka的一样，实现决策树的分析以及通过数据挖掘整理规则集合，很值得新手学习-a simulation system, the importation of files and weka, the same realization of the decision tree analysis and data mining collated by the rules set, is worth learning newcomers
rosetta-1.0.1
- 粗糙集应用软件，方便完成数据挖掘、知识总结-Rough Set application software to facilitate the completion of data mining, knowledge summary
c4.5数据挖掘算法源代码，LINUX版本
- 本程序是用c语言编写的基于决策树分类方法的数据挖掘算法，它对测试集进行分类，挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules
pc4.5.tar
- 此代码是用c语言编写的决策树的c4.5代码，它是数据挖掘分类算法中的一种，可以对给定数据集进行分类，挖掘出规则-this code is c language of the decision tree Bank code, which is data mining classification algorithm of a can of a given data set for classification, tapping rules
Clustering.zip
- 数据挖掘算法的实现，基于模糊聚类的最大树算法，数据集是darpa99,也就是KDD-CUP99中采用的数据集,The realization of data mining algorithms, based on fuzzy clustering of the largest tree algorithm, a data set is darpa99, which is used in KDD-CUP99 data set
Sort
- 对给定数据集合进行分类。是数据挖掘算法的KNN的分类实例。-For a given data set to classify. Data mining algorithms is the classification of examples of KNN.
Apriorisimplement
- 本代码实现了数据挖掘中的一个经典算法Aprioris 。在此算法中，通过对平凡集的优化使其更加的完备也更加的有效。-The code to achieve the data mining algorithm in a classical Aprioris. In this algorithm, through an extraordinary set of optimization to make it more complete and more effective.
bayesian1
- 用贝叶斯算法解决数据挖掘中分类问题，先用训练集进行训练，再用测试集进行测试-Bayesian data mining algorithm to solve classification problems in the first training set used for training, re-use test set for testing
yichuansuanfawenzhang01
- 这是一篇文献，文献题目是：《于粗糙集和遗传算法的数据挖掘方法》-This is a literature, literature entitled: " in the rough set and genetic algorithm data mining"
DMES
- 支持基于可识别性的经验建模和数据挖掘。它由许多用于通用机器学习和粗糙集理论的例程组成-Support based on the experience of identification in the modeling and data mining. It is used by many general-purpose machine learning and routine composition of rough set theory
Data_gen-by-IBM
- IBM随机数据生成器，是数据挖掘的辅助工具，可以根据输入的参数随机产生指定大小的数据集-IBM random data generator, the auxiliary data mining tools, based on randomly generated input parameters specify the size of the data set
2-(3)
- 粗糙集方面的书籍，可进行数据挖掘等数据处理-Rough set of books, data mining and other data can be handled
DataGen.tar
- 数据挖掘关联规则算法的数据生成器,参数在txt文本中,可以自己设置.-The data mining algorithm of association rule data generator parameters txt text, you can set up their own.
DMProject
- 数据挖掘算法KNN、K-means的实现与挖掘Iris数据集的结果分析-Data mining algorithms, KNN, the K-means to achieve mining Iris data set
datamine
- 关于数据挖掘的算法，超市数据挖掘，用于生成决策树和关联规则的程序，附有课设文档-About data mining algorithms, supermarket data mining, decision tree and association rules for building the program, with classes set document
MSML
- 支持多最小支持度多层次的关联规则挖掘，数据集为T10I4D100K，多最小支持度阈值为MSchange-Support multiple minimum supports multi-level association rule mining, data set T10I4D100K, more than the minimum support threshold MSchange
Wine-Quality-Data-Set
- 红酒、白酒质量数据集，可作为机器学习中的数据挖掘数据库-Red wine, white wine quality data sets can be used as data mining machine learning database
Forest-Fires-Data-Set
- 森林火灾数据集，可作为 数 据 挖 掘 的数据库-Forest fires dataset can be used as data mining database
apriori
- 数据挖掘Aprior的简易c++实现，通过string来表示数据集，没有采用STL set集合操作，因此实现起来简单一些，判断是否包含用到了动态规划算法中的最长公共子序列，思想是暴力求解，没有用到很高端的思想和算法。(Simple c++ data mining Aprior, said data set by the string, without the use of STL set collection operation, thus the realization is simple,
Geolife Data 1.3
- Geolife GPS 轨迹数据集–用户指南 这一 GPS 轨迹数据集是在 (微软研究亚洲) Geolife 项目中收集的, 178 用户在四年 (2007年4月至 2011年10月) 期间。该数据集的 GPS 轨迹由一个时间戳点序列表示, 每一个都包含纬度、经度和高度信息。该数据集包含17621个轨迹, 总距离为1251654公里, 总持续时间为48203小时。该轨迹数据集可以应用于移动模式挖掘、用户活动识别、基于位置的社交网络、位置隐私和位置推荐等多个研究领域。(Geolife GPS t