Home - 核桃林研学社区. ELKI. KNIME | Konstanz Information Miner. JHepWork. jHepWork is an attempt to create a data-analysis environment using open-source packages with a coherent user interface and tools competitive to commercial programs. The idea behind the project is to incorporate open-source mathematical and numerical software packages with GUI-type of user interfaces into a coherent program in which the main user interface is based on short-named Java/Python classes.
This was required to build an analysis environment using Java scripting concept. A typical example will be shown below. jHepWork can be used everywhere where an analysis of large numerical data volumes, data mining, statistical data analysis and mathematics are essential. Overview[edit] jHepWork has several features useful for data analysis: Data-analysis features[edit] The package supports several mathematical, data-analysis and data mining features: Symbolic and numeric calculations[edit] Symbolic calculations use GNU Octave scipting language.
Input and output[edit] History[edit] See also[edit] Weka 3 - Data Mining with Open Source Machine Learning Software in Java. Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. Weka supports deep learning! Welcome to Scriptella ETL Project. I - RapidMiner. Rexer Analytics 4th Annual Data Miner Survey - 2010. RapidMiner.
RapidMiner is a software platform developed by the company of the same name that provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics. It is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development and supports all steps of the data mining process including results visualization, validation and optimization.[1] RapidMiner is developed on a business source model which means only the previous version of the software is available under an OSI-certified open source license on Sourceforge.[2] A Starter Edition is available for free download, a Personal Edition is offered for US$999, a Professional Edition is $2,999 and pricing for the Enterprise Edition is available from the developer.[3] History[edit] Description[edit] RapidMiner uses a client/server model with the server offered as Software as a Service or on cloud infrastructures.[7]
Orange (software) Orange is supported on various versions of Linux, Apple's Mac OS X, and Microsoft Windows. A screenshot of Orange. Scikit-learn -- a Python-based toolkit for machine learning. List of free and open source software packages. Orange - Data Mining Fruitful & Fun. 金融数据|DATAPUSH|CCER|数据和传递专业解决方案|色诺芬. Statistical Computing. The R Project for Statistical Computing.