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Scientific Data Repository – Real Time Visualization and Exploration Techniques

Posted by Marcus Zillman

Scientific Data Repository – Real Time Visualization and Exploration Techniques
http://www.mlvis.com/platform.php

This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. State-of-the-art statistical techniques are combined with real-time data visualization giving the ability for researchers to seamlessly find, explore, understand, and discover key insights in a large number of public donated data sets. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner. This will be added to Open Datasets Subject Tracer™. This will be added to Deep Web Research and Discovery Resources 2017. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™. This will be added to Online Research Browsers 2017.

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