Software
We've compiled a list of 5 free and paid alternatives to AdvancedMiner. The primary competitors include Stata, Orange Data Mining. In addition to these, users also draw comparisons between AdvancedMiner and STATISTICA, Tableau Prep, H2O.ai. Also you can look at other similar options here: About.
We've compiled a list of 5 free and paid alternatives to AdvancedMiner. The primary competitors include Stata, Orange Data Mining. In addition to these, users also draw comparisons between AdvancedMiner and STATISTICA, Tableau Prep, H2O.ai. Also you can look at other similar options here: About.
Stata is a software product for statistical data analysis. It is widely used in research, social sciences, economics, and other fields. Stata allows you performin a variety of statistical analyses, including regression models, hypothesis testing, ti…
Open-source software for visual data analysis and machine learning. It is developed in the Python programming language and provides an intuitive graphical user interface. Orange provides a wide range of tools for working with data, including visuali…
H2O.ai is an open-source AI platform for building and deploying machine learning models. It enables data scientists and developers to create scalable, fast predictive analytics with automated tools and supports integration with Python, R, and other …
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Windows
Main features:
- Performing a wide range of operations on data, such as sampling, joining datasets, dividing into testing/training/validating sets, assigning roles to attributes
- Graphical and interactive data exploration
- Outlier filtering, supplying missing values, PCA, various data transformations, etc.
- Building association models, clustering analyses, variable importance analyses, etc.
- Constructing various analytical models with the use of diverse Data Mining and statistical algorithms (such as classification trees, neuron networks, linear and logistic regression, K-means)
- Creation of scoring code so that the models can be integrated with other IT applications (scoring code may include the models as well as data transformations)
- Model quality evaluation and comparison of Data Mining models (LIFT, ROK, K-S, Confusion Matrix)
- Generation of model quality reports (MS Office)
Complex analytical processes can be defined in a simple way using drag & drop technique. Advanced users can create their own scripts and new node types.
AdvancedMiner offers limitless, additional funcionalities for advanced users that can be easily created and/or extended within the application.
Advanced features:
- Support for SQL language (including analytical functions)
- Integration with the R package
- Integration with Java and Hadoop Hive
Machine Learning
Automatic models building
Data Mining
Predictive Modeling
Data analytics
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