Knowledge-Miner For Excel

Version: 2.9.1 || Release Date: 2012-01-22 || License: Freeware App Owner: joymlarson

KnowledgeMiner (yX) for Excel Free – Entry-Level Knowledge and Data Mining for Everybody.
Simple, objective, fast. Develop reliable predictive models in only two steps.

KnowledgeMiner (yX) for Excel Free is a knowledge mining tool that works with data stored in Microsoft Excel for building predictive and descriptive models from this data autonomously.
Start developing predictive models from low to high-dimensional and noisy data of a few up to 50,000 input variables in our Gold Edition. Automatically and amazingly easy.
Export your developed models back to Excel to further predict, analyze, and deploy models in the familiar environment of Excel.

KnowledgeMiner (yX) for Excel Free is forecasting software, where you can analyze and forecast processes that take place over time, statistical analysis and modeling software to better understand how a complex problem can be described mathematically, and classification software in one tool. It provides a fast and unique way for scientists and business users to generate and apply reliable models from low- to high-dimensional noisy data for a wide range of problems.

Features & Benefits
• Brings Entry-Level Personal Knowledge Mining to Excel users with unprecedented ease of model building and ease of model deployment likewise.
• Hides all complex processes of knowledge extraction, model development, dimension reduction, variables selection, noise filtering for avoiding overfitted models, and model validation to the user.
• Uses the familiar interface and functionality of Microsoft Excel for storing and organizing the data, building models, and working with the developed models.
• Self-organizes linear or nonlinear, static or dynamic regression models along with the equation that describes the data from up to 50,000 input variables in our Gold edition.
• High-dimensional modeling by implementing unique model validation methods, which significantly help answering a key question if and to which extent the developed model reflects a causal relationship or if it just models noise. This leads to the concept of Descriptive Power of a model.
• Generated analytical models can be used for Status Quo or What-If prediction, analysis, simulation, or optimization problems in Excel.
• Nonparametric forecasting models for fuzzy objects based on Similar Patterns technology.

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