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Talking about XLMiner, it is a typical add-in software that is loaded on top of Excel, taking advantage of its functionalities and interfaces so familiar to a large number of users. XLMiner provides a wide range of data analysis tools, based on both statistical and machine learning methods. Assignment on XLMINER consists of similar before mentioned traits.

Fundamental Aspects of XLMINER

XLMiner is an add-in for Excel, with the macro operation, which allows many types of analysis for both cut data transversal, as temporal sequences.

Among the main features of XLMiner are:

• Management of databases, with the imputation of missing data.
• Making predictions.
• ARIMA models, Holt winters, Polynomials.
• Decision trees, cluster analysis.
• Ease of delivery of reports.
• Neural networks.

In favour of this program, it can be said that:

• It has a good manual that can be found in the help section, which describes the various methods and parameters.
• Presents user-friendly configuration and work options (interface) for each method.
• The formats for the presentation of results such as graphs, tables, and indicators of changes are very orderly and have a good format.
• There are many tutorial videos for the different methods that indicate step by step what needs to be done.

Against this program we have to:

• XLMiner is accessible as a test tool for a limited period 30 days.
• You must pay to have access to the version that does not limit the size of the database of data.
• It does not have clear error indicators.
• How XLMiner works based on Excel macros, when parameterizing an operation with inappropriate data, the operation is interrupted, making it impossible to recover the last thing done.

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WEKA, an abbreviation for Waikato Environment for Knowledge Analysis, is a set of JAVA libraries for the abstraction of knowledge from databanks. It is made up of a series of open-source packages with different modus operandi for preprocessing, classification, grouping, association and visualization. It is a software developed at the University of Waikato (New Zealand) under the GNU-GPL license which has led to it being one of the most used suites in the area in recent years. It is a very powerful tool, although it does not have implemented algorithms to carry out sequence modelling as of today.

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Oracle Data Mining (ODM) is a software tool developed by the Oracle Company to apply data mining to large volumes of data. Through this tool, the data import process, its preparation, as well as the development and deployment of the model will be carried out.

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MATLAB (short for Matrix Laboratory) is a fully integrated computing and application development oriented to carry out projects where they are involved in high math calculations and visualization graph of them. This program also has an extensive range of specific support programs, known as Toolboxes, which expressively extend the number of functions integrated into the core program. These Toolboxes cover in the today almost all major areas in the domain of simulation and engineering.

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KNIME (Konstanz Information Miner) is a platform for easy to use and understandable open source for integration data processing, analysis and exploration. This tool was originally developed in the Department of Bioinformatics and Data Mining at the University Of Constance, Germany, under the supervision of Professor Michael Berthold. Currently, KNIME.com, based in Zurich, Switzerland.

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XLMINER Assignment Sample Online

This is a glimpse of the assignment question file of XLMINER that our experts get to resolve. Our experts have resolved numerous such assignments.

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