搜索资源列表
mlcompare
- Data Mining spam classification comparison
dataMIn
- Data Mining Retail Classification scr ipt
K_CenterPoint_PAM
- k中心点算法，也就是PAM算法。是数据挖掘中聚类分析的一种手段，用途广泛。-k center algorithm, i.e. PAM algorithm. Data mining is a means of cluster analysis, and versatile.
GSP
- 关于数据挖掘中的GSP算法，带简单的界面。可以运行，参数自己可以改一下-GSP on data mining algorithms with a simple interface. You can run, parameters that they can change it
data-mining_GRI
- GRI关联数据挖掘. GRI是关联规则的一种算法。很有用的。-GRI association data mining
data--mining
- 模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
Top-10-Algorithms-in-Data-Mining
- 在2006年9月召开的ICDM会议上，邀请了ACM KDD创新大奖(InnovationAward)和 Top 10 Algorithms in Data Mining IEEEICDM研究贡献奖(Research Contributions Award)的获奖者们来参与数据挖掘10大算 法的选举，每人提名10种他认为最重要的算法-Classification，Statistical Learning，Top 10 Algorithms in Data Mining，material
Bayesian-networks-for-Data-Mining
- 贝叶斯网络的介绍及其在数据挖掘和模式识别中的应用-Introduction Bayesian network and its application in data mining and pattern recognition
Data
- 《R统计与数据挖掘》一书中所有源码，可以直接编译- R statistics and data mining, a book all the source code, can be directly compiled
Data-Mining-with-R
- 运用R语言进行数据挖掘算法设计与运算，能够提升R语言学习能力与数据挖掘算法应用能力-R language use data mining algorithm design and operation, it is possible to enhance the R language learning and data mining algorithms application capabilities
Big-Data-common-codes
- r语言数据挖掘的实例，涵盖主流数据挖掘算法-r linguistic data mining examples, covering the mainstream data mining algorithms
data--preprocessing-using-kdd-data-set
- Data Mining process model selected is KDD which starts selection of data.Initially the researcher has taken the Kddcup.data-10-perecnt which contains total of 311,027 records which includes both labeled and unlabeled records-Data Mining process model
data-mining-video
- 炼数成金数据挖掘视频，前两周，包括：数据挖掘概论，数据挖掘标准流程，适合刚入门的初学者作为了解-data mining video,the content including the introduction of data mining,data mining standard process,
learning-data-mining-with-python
- 《python数据挖掘入门与实践》随书源代码，Chapter1-Chapter12.使用ipython notebook运行，包括社会媒体挖掘，作者归属，新闻语料分析，大数据处理等应用实例。-Python data mining entry and practice with the book source code, using Chapter1-Chapter12. IPython notebook operation, including social media mining, aut
Hadoop-data-find
- Hadoop数据挖掘算法 在mapreduce中的实现-Hadoop data mining algorithms implemented in the mapreduce
Data-mining
- 5种Python数据挖掘算法：Bayes,Apriori,K-means,ID3,K-data mining of Python
data-mining
- 常用的一些数据挖掘算法，包括Apriori,SVM,神经网络，遗传算法，K-means。-some commonly used data-mining algorithms,including Apriori,SVM,Neural Network，Genetic algorithm，K-means
NBA_data_Analysis-Project
- 对NBA球员的大数据进行分析，含代码和结果图(Analyze the big data for NBA players, including code and result diagrams)
处理缺失数据的高级方法
- 数据探索分析中处理缺失数据的高级处理方法(Advanced processing methods for missing data processing in data discovery analysis)
sklearn-tree-BN-knn
- 分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the dat