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Finest Data Mining Tools

Finest Data Mining Tools

Data mining is a way of discovering vast knowledge in databases. Comprehensive data patterns are achieved by business houses working on vast data related to statistics, artificial intelligence, database systems and machine learning. Ultimate goal of data mining is extracting relevant information and transforming them into a commonly understandable structure. Discussed here are a few powerful open source data mining tools that promise to be of great help in information extraction.

RapidMiner

This is known as one of the most popular open-source tool for data mining. The system has been developed on Java Programming language. The tool is a bonus for users who hardly need to write codes here. This tool gives advanced analytics through template-based frameworks. You can think of this software as a service provider than just a local tool set-up. Besides allowing users to have the basic set of data mining, RapidMiner provides other functionalities such as predictive analytics, data preprocessing, deployment, statistical modeling, visualization and evaluation. If you belong to industries like education, application development, research, training or rapid prototyping this is your ultimate data mining friend. You can look forward to have a power packed experience with RapidMiner’s algorithms, learning schemes and models. It is an open source software that is distributed by AGPL open source license. It has earned its name for being the most popular business analytics software.

NLTK

This is wonderfully suited for language-based data processing tasks. You can straighten out your raw text strings and put them into sentence segments, detect entities and relation between tagged and chunked sentences. There is a pool of language processing tools such as machine learning, sentiment analysis, data mining, data scraping and various other tasks performed by NLTK. In order to have a hassle-free language processing you can start simply by installing the NLTK package and you are ready to continue. Backend has been developed on Python which makes it easy for you to start building customized applications along with additional task inclusions.

jHepWork

Tailor-made for science and engineering-based data analysis and visualization jHepWork will be of maximum value for your scientific computation and related data needs. It works as an interface where several open-source software packages can be incorporated. Bulk data comprising of large mathematical and numerical evaluations, analysis and volumes are analyzed comfortably by jHepWork which can be used anywhere. If you belong to financial markets or engineering and science related fields then you might experience good data structuring with jHepWork.

WEKA

WEKA has had recent Java based sophistication included in its tool which allows users to have various algorithm and visual applications working for predictive modeling and comprehensive data analysis. You can look forward to have customization comfort. Standard data mining tasks like regression, data preprocessing, visualization, clustering, feature selection and classification is supported by WEKA.

KNIME

This is arguably the best tool for data preprocessing which requires completion of three major tasks such as loading, extraction and transformation. KNIME completes all of them and provides you with the graphical user interface that lets the nodes to assemble or data processing. KNIME is an open source platform where various data related components get integrated to form solid business and financial data indices. It has been written on Java which will allow you to have a fabulous experience of adding plugins and extending data integration support.

R-Programming

This is also known as Project R and is primarily written in C and Fortran. It is a GNU project which is free. It is best suited for statistical computing and graphics. Miners around the world use R language to develop statistical software and data analysis. R has become popular for its smooth running and effective time-testing, clustering and statistical test abilities.

Apache Mahout

As the name suggests this is an Apache project that intensifies machine learning implementation processes. There are four active supports provided by Apache Mahout – Frequent item set mining, Clustering, Recommendation mining and classification. User related categories and actions are identified with this mining tool.

PSPP

This is a perfectly suited program for statistically analyzing sampled data. It uses GNU Scientific Library to perform mathematical routines in bringing out graphical representations. Developed in C this mining tool has command-line and graphical user interfaces.

Orange

This is another open source mining tool that can be used by amateurs and experts. Mining is done here by using Python scripting and visual programming. Add-ons for text and bioinformatics mining is available here.

RapidAnalytics

Developed in the lines of RapidMiner, RapidAnalytics is a key component in business data analysis. With predictive reporting, analytical ETL (Extract, Transform and Load) and critical data analysis abilities RapidAnalytics is the new milestone for business analytics.

Intelligent focus on data research and analysis is the key to great success for most businesses. As long as data provides a strong platform for development there will be an ever-growing need for effective data mining tools.