Use forecasting, data mining and text mining models in your application
XLMiner SDK offers developers working in C++, C#, Java, Python or R a powerful, high-level API for predictive analytics.
Why You Should Use XLMiner SDK
What are XLMiner SDK's Core Components? DataFrames, Models, Estimators
Classification Trees With XLMiner SDK
Time Series Example with XLMiner SDK
Association Rules Example with XLMiner SDK
Everything You Need to Develop and Deploy Powerful Predictive Analytics Applications
|Common, Easy-to-Use Object-Oriented API||Use the same high-level objects (like DataFrame, Estimator and Model), properties and methods across different programming languages.|
|Parallelized Data Mining Algorithms||Exploit multiple processor cores using XLMiner SDK's built-in parallelized algorithms, without having to write parallel code yourself.|
|Thread-safe for Multi-user Applications||Call XLMiner SDK on multiple concurrent threads -- making it easy to build Web server and other applications that handle multiple clients concurrently.|
|Example Applications in Multiple Languages||Source code is included in each supported programming language for example applications, illustrating how to use the full range of XLMiner SDK features.|
|Help and Support||Our xxx-page XLMiner SDK User Guide and our highly-regarded technical support supports your efforts.|
|Straightforward Runtime Licensing||Obtain licenses to distribute XLMiner SDK with your application, or use it on your on-premise or cloud-based server(s), with simple terms that work for your application.|
A Full Range of Forecasting, Data Mining, and Text Mining Algorithms
|Fast Text Processing||Use stemming, term normalization, and vocabulary reduction to create a term-document matrix with weightings.|
|Latent Semantic Indexing||Extract concepts from text, representing common clusters of words in documents to create a concept-document matrix.|
|Unsupervised machine learning||Use k-Means Clustering and Hierarchical Clustering to structure rows, and Principal Components to reduce columns.|
|Powerful Feature Selection||Use filter, wrapper and embedded methods to identify variables with the greatest predictive power.|
|Exponential Smoothing and ARIMA models||Use exponential smoothing and ARIMA (Auto-Regressive Integrated Moving-Average) methods, with or without seasonality.|
|Linear and Logistic Regression||Use multiple linear regression and logistic regression, with automatic handling of categorical variables, automatic variable screening, and forward, backward, stepwise and exhaustive variable selection methods.|
|Ensembles of "Weak Learners"||Use boosting, bagging, and "random forest" methods to combine results from many instances of different algorithms.|
|Classification and Regression Trees||Use regression-based "decision trees" for both classification and prediction tasks.|
|Neural Networks||Use multi-layer feedforward neural networks for both classification and prediction tasks.|
|Discriminant Analysis and Naive Bayes||Use these classic, but surprisingly powerful methods for classification.|
|Association Rules||Automatically construct sets of rules for "market basket" and recommendation systems.|
Compare XLMiner SDK Platform and XLMiner SDK Pro
The comparison chart below summarizes the differences between XLMiner SDK Platform and XLMiner SDK Pro.
We're happy to assist with any questions, to help make sure you find the right product for your unique needs.
|Compare XLMiner SDK Platform and XLMiner SDK Pro|
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Whichever product you buy, we offer a full range of support internally and through external partners to help you succeed. Whether you are looking for pre-sales support on your problem and our product line, Technical Support on using our tools, or personalized Consulting Services, we are here to help you. We offer a full range of online support resources you can access anytime.
Very Cost Effective Pricing
Development licenses and runtime (deployment) licenses for XLMiner SDK Platform and XLMiner SDK Pro are an amazing value compared to enterprise software alternatives, or the cost and effort of "rolling your own" solution.
You can download and run the XLMinerSDKSetup program that installs the full-power XLMiner SDK Platform with a free 15-day trial license. You can use every feature of the software, examine and solve working examples -- in your favorite programming language -- illustrating various features of the SDK, solve real problems, examine the User Guide, and get expert technical support -- all without any obligation.
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