weka datasets

1. Introducing This article is my notes on the study of data mining and machine learning –weka application technology and practice. The electronic version of the book Link is: http://download.csdn.net/detail/fhb292262794/8759397The previous blog post summarizes the algorithm processing using Weka to demonstrate machine learning, mainly through Weka3.8 client software operations.This article is handled thro

From http://dreamhead.blogbus.com/logs/16813833.html WEKA is a data mining software written in Java. Data mining, literally, is a process of searching for useful information from data. However, it involves a lot of content, so here we use the "classification" side for details.Classification. From the name point of view, it's no longer easy. It gives you something and divides it into classes. How do you know how to classify it? Obviously, this is based

Related preparation:Weka, MySQL is installedMYSQL Driver for JDBC1, enter the Weka installation directory1) Create new folder Lib and folder Weka, and then copy the Mysql-connector-java-5.1.24-bin.jar to the Lib folder2) "My Computer" property, set environment variablesThe installation directory for the new variable Weka_home=weka, such as (D:\Prgrams\

One. Close WEKAIf the WEKA is open, be sure to close it before you can do the following. Otherwise, errors may occur after the configuration is complete.Two. Get MySQL driverCreate the Lib folder under the Weka installation directory and place the MySQL driver in this folder.For example the author is: D:\Program Files\weka-3-8\lib\mysql-connector-java-5.1.37-bin.

SQL Server service5) SQL Server connection port is 1433, if TCP/IP connection is not on (for example, Weka connected to SQL Server), first ensure that: SQL Server Configuration Manager->sqlserver Network configuration->express/ The server's TCP/IP service is on, next to express TCP/IP double-click, IP Address entry in Ipall (last) dynamic port is 1433, after saving restart service can take effect6) Remote Debugging firewall problem is not solved ...2

[Problem details] link weka in ubuntu to mysql databasePreparation 1. First download weka, the related link is http://www.cs.waikato.ac.nz/ml/weka/downloading.htmlDecompress the package and use unzip weka ***. zip.You can set a directory by yourself ~ /Home/chicho/tools/weka

Today, the Weka source code into Eclipse, intends to learn the Weka source code, encountered some problems, insufficient online information, their own summary, hope for Yimeimei paving.1) New Java project, name Weka3-62) Unzip the Weka-src.jar and drag the Src\main\java\weka file to the SRC directory of the project.3)

Import java. Io .*;Import WEKA. classifiers .*;Import WEKA. classifiers. Meta. vote;Import WEKA. Core. instance;Import WEKA. Core. instances;Import WEKA. Core. selectedtag;Import WEKA. Core. converters. arffloader;Public class tes

We know that WEKA is a machine learning Toolkit (http://blog.csdn.net/Felomeng/archive/2009/10/17/4687061.aspx) developed in Java language ). So what if I want to call it in C? Ikvm (http://blog.csdn.net/Felomeng/article/details/4063343) can be used ). The command for converting ikvm to WEKA. jar is: ikvmc-target: Library WEKA. jar. After running, a new file

Brief introduction What is data mining? You will ask yourself this question from time to again, because this topic is getting more and more attention from the technical circles. You may have heard that companies like Google and Yahoo! are generating billions of of data points about all their users, and you wonder, "What do they want all this information for?" "You may also be surprised to find that Walmart is one of the most advanced companies to conduct data mining and apply the results to the

Label:First, download and unzip the database driver : http://www.mysql.com/products/connector/, this article downloads mysql-connector-java-5.0.8.zip. Copy the extracted Mysql-connector-java-5.0.8-bin.jar to the D:\Program Files\weka-3-6\lib (Lib creates a new folder for itself). Second, set environment variables Weka_home:d:\program files\weka-3-6 Classpath:%weka_home%\lib\mysql-connector-java-5.0.8-bin.j

Here, the Arff file is an example of the Iris.arff file in the Data folder in the Weka installation directory.1. Convert the Arff file to a CSV file in Weka, and then delete the first line in the CSV file that describes the property name, such as.2, save, and put in the database data file directory (such as C:\ProgramData\MySQL\MySQL Server 5.5\data\weka);3, in n

1. Weka Introduction1) Weka is a machine learning/data mining open source software developed by the Weka team of the University of Waikato in New Zealand.2) Related Resources linkhttp://sourceforge.net/projects/weka/files/http://www.cs.waikato.ac.nz/ml/weka/3) Main Features

Clustering Algorithms are called unsupervised learning in data mining, which is opposite to supervised learning. Semi-Supervised Learning) The general process of clustering algorithms is divided: 1. Read the sample to be predicted 2. initialize the clustering algorithm (and set parameters) 3. Cluster samples using Clustering Algorithms 4. Print the clustering result Instance: Package weka2; import Java. io. file; import WEKA. clusterers. simplek

Simple IntroductionWeka is an open source data mining software, which integrates many classical machine learning algorithms, which has been widely used in universities and research institutions.For a brief introduction and simple use, please refer to the documentation: "Using Weka for Data mining".Learning Resources:People who have just started to learn must see the resources:Use Weka in your Java codeData

Brief introduction In the two articles before the "Data mining with WEKA" series, I introduced the concept of data mining. If you haven't read data mining with Weka, part 1th: Introduction and regression and data mining with Weka, part 2nd: Classification and clustering, read these two sections, because they cover some of the key concepts that you must understan

First, let's talk about how to configure WEKA in eclipse! Configure the Java environment, set the path, and install eclipse.In jdk1.6 and eclipse3.2. Thanks to bbs.wekacn.org. After installing WEKA, there is a weka-src.jar package in the installation directory, which is the source code, decompress with jar-vxf weak-src.jar, or use WinZip, WinRAR can also be unlo

First Google , the Weka software download down, after the installation is complete, in the Weka installation directory has a Weka.jar package. Once you have added the package to the project, you can call the functions in Weka .A little bit more aboutweka Basics in weka in the directory, there is a data folder,

Http://hi.baidu.com/stockfans/blog/item/489c4b1010584304213f2e98.html File structure An important basis for identifying an ARFF file is a branch. Therefore, you cannot arbitrarily break the line in this file. Empty rows (or rows with all spaces) are ignored. The Rows starting with "%" are comments and WEKA ignores these rows. If the "weather. ARFF" file you see has more or fewer lines starting with "%", it will not be affected. After the an

Weka algorithm Classifier-tree-RandomForest source code analysis (2) code implementation, randomforest The implementation of RandomForest is exceptionally simple and simply beyond the expectation of the bloggers. Weka combines Bagging and RandomTree in the implementation mode. 1. RandomForest Training The code for building RandomForest is as follows: public void buildClassifier(Instances data) throws