Software Screenshot:
Software Details:
Version: 6.3.2 updated
Upload Date: 4 May 20
Developer: KnowledgeMiner Software
Distribution Type: Freeware
Downloads: 52
Size: 118108 Kb
Insights is 64-bit parallel data mining software that takes conventional data mining to a new level of sophistication and applicability. Users in nearly any field can employ the easy-to-use software to analyze noisy data sets and build powerful models, which can be used to help to gain new insights into complex phenomena, predict future behavior, simulate "what-if" questions, and identify methods of control processes.
Taking observational data that describes a problem, system, or process, the software constructs a working mathematical model.compatible with data stored in a variety of popular formats (e. g. , Microsoft Excel), its AI-powered, self-organizing, modeling algorithms allow users to easily extract new and useful knowledge to support decision-making. Whether applied to sales prediction, resource planning, engineering problems, climate change, health or life sciences related questions, or mining collections of data from government agencies, Insights opens up a wealth of new possibilities to individuals, small business owners, and scientists that were previously available only to large entities that could afford expensive data mining applications. Insights comes with documentation, extra literature, sample data and models such as: world Oil Price prediction and simulation till 2025, monthly Global Temperature, Ozone, concentration, or Sun activity predictions till 2017, reproductive Toxicity prediction of chemicals, housing value or computer system activity prediction, to help you getting started with your data.
Taking observational data that describes a problem, system, or process, the software constructs a working mathematical model.compatible with data stored in a variety of popular formats (e. g. , Microsoft Excel), its AI-powered, self-organizing, modeling algorithms allow users to easily extract new and useful knowledge to support decision-making. Whether applied to sales prediction, resource planning, engineering problems, climate change, health or life sciences related questions, or mining collections of data from government agencies, Insights opens up a wealth of new possibilities to individuals, small business owners, and scientists that were previously available only to large entities that could afford expensive data mining applications. Insights comes with documentation, extra literature, sample data and models such as: world Oil Price prediction and simulation till 2025, monthly Global Temperature, Ozone, concentration, or Sun activity predictions till 2017, reproductive Toxicity prediction of chemicals, housing value or computer system activity prediction, to help you getting started with your data.
What is new in this release:
- macOS 10.15 Catalina supportt
- Maintenance, bug fixes, and performance improvement
What is new in version 6.1.4:
- Minor bug fixes
- Maintenance and performance improvement release
What is new in version 6.1.2:
- Fixes a few issues under macOS 10.13 High Sierra
- Maintenance and performance improvement release
What is new in version 6.1:
- System models: Self-organized regression equations of all models of a system are added to the model report
- System model graph: The relevance of a model input is now displayed when selected
- Maintenance and performance improvement release
What is new in version 5.0:
- Model complexity optimization option to get most parsimonious, most compact models in result of automated model self-organization from data.
- Generation of an explicit model equation from data of the form y = f(x) for linear, multi-linear, and non-linear models, which represents new extracted knowledge and which significantly helps interpreting models.
- For multi-linear models, Insights now ensures that the obtained final model is full multi-linear, not only the neuron transfer functions.
- Calculation of the importance of the model inputs for both model composites and individual models developed with Insights version 5.
- New plots added for composite and individual models developed with Insights version 5:
- Importance of model inputs and variables for all parametric models;
- ROC and Cost Curves as valuable tools for binary classification models;
- Maintenance and performance optimization.
What is new in version 4.0.1:
- Significantly improved processing speed by new In-Memory database; option between fast In-Memory DB or file-based DB for large amount of data records.
- New model export to Python and Objective-C. Integrate ready-to-use source code of your developed models into your web applications or other projects. Works on both individual models and model ensembles.
- Display of model accuracy of predictions in model plots on-the-fly as an immediate measure of model performance on new data.
- For classification models, additional display of key discrimination parameters in scatter plot for easy evaluation of the power of the model on predicted data.
- Updated and new examples added:
- Gene expression of 2000 genes (inputs) for modeling tumor tissue as an example for underdetermined, high-dimensional modeling;
- Network intrusion detection as an example for the problem of detecting rare events;
- Ionosphere modification and analysis of pulsed high-power radar signals from a phased array of antennas;
- Daily ozone level detection.
- General maintenance and bug fixing.
- Version 4.0 runs on Mac OS X 10.10 or higher.
What is new in version 3.5.1:
- Maintenance and bug fixing for OS X 10.11 El Capitan.
- A new modeling option that allows to replace the current model by the the new model has been added. This reduces the size of the modelbase and makes it more manageable.
- An additional parameter, the Area under the ROC Curve, often used to rank classification models is now calculated and reported for all classification models.
- The default number of training and forecast data to work with, which is copied to a model after modeling, can be set now manually in the preference pane.
- Labeling of plots has been redesigned.
What is new in version 3.5:
- A new modeling option that allows to replace the current model by the the new model has been added. This reduces the size of the modelbase and makes it more manageable.
- An additional parameter, the Area under the ROC Curve, often used to rank classification models is now calculated and reported for all classification models.
- The default number of training and forecast data to work with, which is copied to a model after modeling, can be set now manually in the preference pane.
- Labeling of plots has been redesigned.
- Maintenance and bug fixing.
What is new in version 3.4.2:
- Maintenance and stability release.
- New feature for self-detection respectively manual specification of stationarity of time processes for Similar Patterns.
- Improved self-optimization of Similar Patterns composites.
- Option for deleting all models in a model base.
What is new in version 3.4.1:
- New example on Congressional voting behavior added.
- Feature for self-detection respectively manual specification of stationarity of time processes for Similar Patterns added.
- Improved self-optimization of Similar Patterns composites.
- Option for deleting all models in a model base added.
- Maintenance and stability release.
What is new in version 3.4:
- Feature for self-detection and manual specification of stationarity of time processes for Similar Patterns added.
- Improved self-optimization of Similar Patterns composites.
- Option for deleting all models in a model base added.
- Maintenance and stability release.
What is new in version 3.3:
- Adds the step width parameter to Similar Patterns search for direct specification of the pattern search behavior in modeling.
- Maintenance and stability release.
What is new in version 3.2.4:
- Fixes a problem when migrating the app to an other computer.
What is new in version 3.2.2:
- Yosemite update.
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