Data Mining Software for use with excel

[gilesgerman]

I am trying to get data from a website into excel. I have been on Wikipedia and a number of software has been recommended. I am using a MacBook Pro. My question is simple which piece of software is best for use with excel?

[h=2]Software[/h]See also: Category:Data mining and machine learning software.


[h=3]Free open-source data mining software and applications[/h]The following applications are available under free/open source licenses. Public access to application source code is also available.

• Carrot2: Text and search results clustering framework.
• Chemicalize.org: A chemical structure miner and web search engine.
• ELKI: A university research project with advanced cluster analysis and outlier detection methods written in the Javalanguage.
• GATE: a natural language processing and language engineering tool.
• KNIME: The Konstanz Information Miner, a user friendly and comprehensive data analytics framework.
• Massive Online Analysis (MOA): a real-time big data stream mining with concept drift tool in the Java programming language.
• MEPX - cross platform tool for regression and classification problems based on a Genetic Programming variant.
• ML-Flex: A software package that enables users to integrate with third-party machine-learning packages written in any programming language, execute classification analyses in parallel across multiple computing nodes, and produce HTML reports of classification results.
• MLPACK library: a collection of ready-to-use machine learning algorithms written in the C++ language.
• NLTK (Natural Language Toolkit): A suite of libraries and programs for symbolic and statistical natural language processing (NLP) for the Python language.
• OpenNN: Open neural networks library.
• Orange: A component-based data mining and machine learning software suite written in the Python language.
• R: A programming language and software environment for statistical computing, data mining, and graphics. It is part of the GNU Project.
• scikit-learn is an open source machine learning library for the Python programming language
• Torch: An open source deep learning library for the Lua programming language and scientific computing framework with wide support for machine learning algorithms.
• UIMA: The UIMA (Unstructured Information Management Architecture) is a component framework for analyzing unstructured content such as text, audio and video – originally developed by IBM.
• Weka: A suite of machine learning software applications written in the Java programming language.

[h=3]Proprietary data-mining software and applications[/h]The following applications are available under proprietary licenses.

• Angoss KnowledgeSTUDIO: data mining tool.
• Clarabridge: text analytics product.
• KXEN Modeler: data mining tool provided by KXEN Inc..
• LIONsolver: an integrated software application for data mining, business intelligence, and modeling that implements the Learning and Intelligent OptimizatioN (LION) approach.
• Megaputer Intelligence: data and text mining software is called PolyAnalyst.
• Microsoft Analysis Services: data mining software provided by Microsoft.
• NetOwl: suite of multilingual text and entity analytics products that enable data mining.
• OpenText Big Data Analytics: Visual Data Mining & Predictive Analysis by Open Text Corporation
• Oracle Data Mining: data mining software by Oracle Corporation.
• PSeven: platform for automation of engineering simulation and analysis, multidisciplinary optimization and data mining provided by DATADVANCE.
• Qlucore Omics Explorer: data mining software.
• RapidMiner: An environment for machine learning and data mining experiments.
• SAS Enterprise Miner: data mining software provided by the SAS Institute.
• SPSS Modeler: data mining software provided by IBM.
• STATISTICA Data Miner: data mining software provided by StatSoft.
• Tanagra: Visualisation-oriented data mining software, also for teaching.
• Vertica: data mining software provided by Hewlett-Packard.

 

[marious]

It depends on what you are trying to do.
R is my personal preference for large data sets (over 104,576 rows) and engineer calculations.
You need to sharp your statistics skills if you want to use R.

 

[Johnny C]

I'd go with marious, R is free and has a large online community of help. It's used in a lot of universities to teach data mining.