搜索资源列表
Aprior
- 数据挖掘中的APRIOR算法的JavA实现这个算法实现了数据挖掘上的连接与剪枝等算法，可以有效的处理频繁项集的问题。-Data mining algorithms JavA APRIOR realize this algorithm on the connection of data mining algorithms and pruning, etc., can effectively deal with frequent item sets.
DataMIningIn-Java
- Data Mining in Java
weka_DM
- 采用Java开发的,基于C/s结构的数据挖掘分析软件源程序-The use of Java development, based on C/s analysis of the structure of data mining software source code
13871022_datamining_ebook
- a nice book about data mining with java scr ipt
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
storage_manage_1.1.0
- 系统功能主要特色是可以自建部门，科室、员工信息。评估指标的项目和分数可以通过后台进行设置，您可以随便根据自己的需求进行定义。可以批量评价员工信息，不同的角色可以使用不同的评估指标进行评价。评估后的数据可以采用FLASH技术以图表的格式显示出来，方便使用的企业进行数据分析和数据挖-Function of the main features of the system is self-built department, department, employee information. Evalua
jBNC
- jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. jBNC
aprioriMain
- apriori算法java 实现 数据挖掘-apriori data mining algorithm java
weka-manual
- 数据挖掘实用机器学习技术。其中除了介绍了数据挖掘中常用的技术，还介绍了数据挖掘工具weka的使用。-Data Mining Practical Machine Learning techniques. Apart from the one commonly used data mining techniques, data mining tools also introduced the use of weka.
Manisha
- It is a java implementation of Expectation Maximization algorithm that can be used for clustering objects in data mining
Apriori
- 数据挖掘经典的算法,帮助大家学习数据挖掘。-A classical data mining algorithms that helps us to learn data mining.
ID3
- 数据挖掘算法ID3，可以很好的挖掘数据，在很多领域有应用。-a data data mining algorithm that helps us to learn data mining well.
C45Driver
- C45驱动，数据挖掘算法之一。供大家学习与参考。-a data mining algorithm that helps us to learn data mining very well.
Knn-java
- java实现的数据挖掘knn算法,一般算法的改进，准确率有所提高-java implementation of data mining knn algorithm, the general algorithm, improved accuracy
GradeDM
- 基于数据挖掘算法的成绩分析系统 本系统运用J2EE技术架构，采用SSH + Ajax架构设计，选用B/S模式设计方案，使用MVC设计思想进行开发；同时采用SQL SERVER2000数据库管理系统对后台数据库进行管理-Application and Implementation of Data mining algorithms in the analysis of students’ Scores
DM_HIERARCHICAL_20_114_116
- Hierarchical Data Mining base on distance and graph
CLIENT
- aglet移动平台中客户端所需的代码，具体实现看代码-Data mining
HELLO
- aglet移动平台中通信所需的代码，具体实现看代码-Data mining
HTTP
- aglet移动平台中相互通信所需互联网代码，具体看所上传程序-Data mining
itinerary
- aglet移动平台中两台电脑相互通信的线程代码，具体实现功能看所上传代码-data mining