Knowledge Discovery Toolbox Analyze graphs with this handy tool
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analyzer Analyze graph Graph Analyzer analyze graph graph analysis

Knowledge Discovery Toolbox Description

The Knowledge Discovery Toolbox, also known as KDT was developed to provide subject matter experts a simple interface to analyze very large graphs. You can use it to analyze your graphs quickly and effectively without requiring knowledge of the underlying graph representation or algorithms. Domain experts are defined as experts in a field of study that is not graphs and graph algorithms, though they may have some familiarity with graph algorithms by using them. While graphs represent many real-world relationships in a mathematically robust way, their analysis with current methods does not scale. The modern ‎"data tsunami" has created graphs in critical scientific and societal domains that are large enough to be prohibitively time-consuming to analyze with well-known methods. This has led graph-analysis experts to create more efficient graph analysis algorithms, but has also led to a gap between those experts and the non-graph subject-matter experts who need to use them. KDT counters the trend by exposing an API through the Python language that is efficiently and scalably implemented on computer clusters, while remaining suitable for domain experts by hiding the underlying implementation. KDT is intended to accelerate a virtuous cycle among: · domain experts who need to analyze graphs that don't fit in the memory of a single computer node · researchers working on improved graph algorithms · developers of tool infrastructure.

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