Data Miner Nodes Dialogs
- Statistics
- Graphs
- Input Data and Data Acquisition
- Data Cleaning and Filtering
- Data Transformation
- TextMiner
Provide powerful tools to process unstructured (textual) information, extract meaningful numeric indices from the text, and, thus, make the information contained in the text accessible to the various data mining (statistical and machine learning) algorithms available in the STATISTICA system. Information can be extracted to derive summaries for the words contained in the documents or to compute summaries for the documents based on the words contained in them. Hence, you can analyze words, clusters of words used in documents, etc., or you could analyze documents and determine similarities between them or how they are related to other variables of interest in the data mining project. - General Slicer, Dicer, and Explorer
- Classification and Discrimination
- Regression Modeling and Multivariate Exploration
- General Forecaster and Time Series
- Neural Network Architectures
- Probability Calculator
- Comparing and Merging Multiple Data Sources
- Interpretation of Variable Lists
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