搜索资源列表
ADWIN_Java
- Adwin is Adaptive sliding window model designed in java for frequent item set mining over data streams
JapaneseVowels
- 数据挖掘的应用，对数据集建立决策树，然后利用测试集中的数据判断测试。并给出最终的决策判断的正确率。-The application of data mining, decision tree on the data set, and then use the test to determine the test data set. The final decision making given the correct rate.
os-weka1-Examples
- 在weka环境下进行数据挖掘数据，一个数据集实例-Environment in the weka data mining data, a set of instance data
WekaTest
- 可以在eclipse软件当中利用JAVA语言调用WEKA软件中的包，选择算法，继而对数据集进行数据挖掘-JAVA language, eclipse software which call WEKA software package selection algorithm, then the data set for data mining
src
- 基于将数据挖掘与并行技术结合,学习数据挖掘中关联规则算法，用java编写出最高效的apriori改进算法，用ubuntu上的eclipse作为开发平台，通过在eclipse上安装hadoop插件的方法建立并行平台。-Based on the data mining combined with parallel technology, learning algorithms in data mining association rules, using Java to write out the
Prime14
- 数据挖掘中的关联算法FPtree在Java中的实现，能挖掘出数据集中的频繁模式-Data Mining association algorithm FP tree in Java to achieve, and can dig out the data set frequent pattern