XLMiner offers point-and-click, enterprise-strength data mining, text mining, forecasting, and predictive analytics in your browser. You can try it for free. It's supported by Solver developer Frontline Systems.
Easily retrieve or sample data or text from CSV or Excel files, SQL databases, or Apache Spark Big Data clusters.
Handle missing data, bin continuous data, and transform categorical data. Use clustering and principal components to reduce your data. Use vocabulary reduction, term normalization and stemming for text.
Easily partition your data into training, validation, and test datasets, with no limits on dataset size.
Use feature selection to automatically identify variables with the greatest explanatory power.
Use exponential smoothing and Box-Jenkins (ARIMA) methods with seasonality to forecast time series, such as sales and inventory, from historical data.
Automatically transform free-form text into structured data, identifying most frequent terms and extracting key concepts with latent semantic indexing.
Use multiple linear regression with variable selection, k-nearest neighbors, and ensembles of trees and neural networks to predict prices, votes or other numbers.
Use logistic regression, discriminant analysis, k-nearest neighbors, naive Bayes, and ensembles of trees and neural networks to classify buyers or fraudsters.
Use association rules for market basket analyses and recommender systems.