- #Xlminer analysis toolpak install how to#
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- #Xlminer analysis toolpak install software#
When you have the model you want, you can deploy it in several ways: Both and XLMiner in Excel offer a scoring option on the Ribbon, that works against SQL databases as well as worksheet or CSV data. Association rules for affinity analysis.ARIMA (Auto-Regressive Integrated Moving-Average) methods, with or without seasonality.Exponential smoothing methods, with or without seasonality.Ensembles of “weak learners” from the above methods, combined via boosting, bagging and “random forests” to produce a better predictive model.Multiple Linear Regression, k-Nearest Neighbors, Regression Trees, and Neural Networks for prediction.Logistic Regression, Discriminant Analysis, k-Nearest Neighbors, Naïve Bayes, Classification Trees, and Neural Networks for classification.Concept extraction with latent semantic indexing.
#Xlminer analysis toolpak install full#
Creation of a term-document matrix with a full range of weightings.Stemming, term normalization, and vocabulary reduction.Feature Selection with filter, wrapper and embedded methods to identify explanatory variables.Principal Components Analysis for dimensionality reduction.k-Means Clustering and Hierarchical Clustering for “unsupervised” learning.Rich Set of Forecasting, Data Mining, Text Mining Featuresīoth and XLMiner SDK provide more than just predictive algorithms – they include powerful methods to explore, transform and “clean” data, partition data into “training” and “validation” sets, train one or more machine learning models, and evaluate and compare the performance of those models. R developers will appreciate the fact that XLMiner SDK provides an R package that uses R-native types, including R DataFrames - hence it can be used easily with a wide range of R packages from CRAN. For C++, C# and Java developers, XLMiner SDK should be especially welcome, since quality data mining tools have been hard to find for these popular languages.īut even R and Python developers will find that XLMiner SDK offers a far better integrated, comprehensive data mining and text mining toolkit than many alternatives available on the Web. In most interactive development environments such as Microsoft Visual Studio and R Studio, you'll benefit from automatic recognition and “command completion” for XLMiner’s objects, properties and methods. XLMiner SDK provides full API support for five popular programming languages: C++ 11 or later, C# 4.0 or later, Java 8, Python 2.7 or 3.4 (both are supported), and R 3.2 with R6 classes. You can get results with just a few high-level lines of code, and you have full control to create a workflow where you specify all aspects of data analysis, machine learning, and scoring. If you're an application developer working in C++, C#, Java, Python or R, XLMiner SDK gives you a powerful, high-level API for quickly embedding predictive analytics in your own application. The same point-and-click operations can be used in, with only your web browser. Our airline case study, originally done in Excel, shows how XLMiner users can build predictive models from Big Data that match the accuracy of a similar HortonWorks case study using a public FAA airline dataset, but without any of the complexity of Hadoop, Pig, Python and other developer tools.
#Xlminer analysis toolpak install how to#
It's all point-and-click, and if you've used XLMiner in Excel, you already know how to use.
Then you can bring in data from Excel workbooks, CSV files, SQL databases, or our Apache Spark Big Data cluster, explore and transform your data, use a wide range of machine learning methods to build a model with predictive power for your data, and evaluate and compare different models. To use, you simply visit the site and register to create an account. It offers business analysts point-and-click tools to create predictive analytics models themselves, without being expert data scientists or programmers. XLMiner for the Webĭevelopers working in C++, C#, Java, Python or R can jump down to our discussion of XLMiner SDK, but let's start with a tool that anyone can use: is a new SaaS (software as a service) platform for data mining, text mining, forecasting, and predictive analytics using only a browser.
#Xlminer analysis toolpak install pro#
The XLMiner® brand now covers predictive analytics in desktop Excel with XLMiner Pro and Platform, in Excel Online and Google Sheets with XLMiner Analysis ToolPak, on the Web for everyone with, and embedded in applications with XLMiner SDK.
#Xlminer analysis toolpak install software#
Frontline's predictive analytics tools just took two "quantum leaps": We've introduced XLMiner SDK, a new, powerful toolkit for software developers who want to use data mining and text mining in their own applications, and we've introduced, "predictive analytics software as a service" with point-and-click ease.