KnowledgeMiner Insights OS X: Self-Organizing, Cost-Sensitive, Data Modeling
New features include purpose-driven, self-organizing, cost-sensitive modeling from imbalanced data sets which allow building cost-optimized classification models in an easy and automated way, particularly useful in biotech, medicine, life sciences, and chemistry.
July 29, 2013
Berlin, Germany - KnowledgeMiner Software today is pleased to announce
Insights 2.0 for Mac OS X, an update to its innovative application that brings conventional data mining to a new level of sophistication and applicability. The critically acclaimed application now includes purpose-driven, self-organizing, cost-sensitive modeling from imbalanced data sets.
With Insights 2.0, it is now possible to develop tailored, purpose-driven, cost-optimized classification models in an easy and automated way, particularly useful in biotech, medicine, life sciences, and chemistry. Capable of computationally intensive, self-organizing modeling, the app supports multi-core, parallel processing. Insights is currently used by NASA, Boeing, MIT, Columbia University, Merck, Mobil, Notre Dame, Pfizer, Apple, and many other corporations, universities, research institutes, and individuals worldwide.
- Brings high-performance, cost-sensitive, predictive modeling to users, with unprecedented ease of model building and deployment, and it takes full advantage of the computing power of parallel processing, available on multi-core Macs
- Hides all complex processes of knowledge extraction, model development, dimension reduction, variables selection, noise filtering, and model validation from the user
- Automatically develops models and model ensembles from data, and it generates the equation that describes the data as a mechanistic interpretation of how the model works
- Live Prediction Validation technology - for the first time, Insights instantly provides direct information about the model applicability domain vis-a-vis new data
- Checks if, and the extent to which, the developed model reflects a valid relationship, or if it just models noise, making the model useless for predictive purposes
While Insights is capable of modeling data sets of any kind, its latest update has been especially optimized for researchers affiliated with biotech firms, chemical companies, and research institutes. Many applications in biotech, medicine, life sciences, and chemistry can take advantage of this powerful tool to improve customer safety, reduce health and environmental risks of chemical products, substantially decrease research and development costs, and clearly help to minimize animal tests by using alternative, computer-based testing methods, known as QSARs.
Insights comes with several examples of modeled data sets, such as cost-optimized models for fetal state monitoring, gene expression of tumor tissue, and QSAR models for screening and regulatory purposes. More than 15 such examples are included for illustrative purposes, taken from the fields of Climate Change, Energy, Life Sciences, Chemistry, Engineering, and Business. Also included is a helpful tutorial.
Pricing and Availability:
Insights 2.0 is available as a free trial version exclusively from the KnowledgeMiner Software website. Insights 2.0 Ultimate, the high-end enterprise edition with cost-sensitive modeling, as well as an academic version, can be purchased by contacting KnowledgeMiner Software directly.
For more information, and to download, visit