A machine learning application's value is dependent on the quality of data used to train and deploy it. Organizations are responsible for creating or acquiring enough data, that this data is useful ...

Is there gold in them there mountains of data? The average large enterprise has terabytes of data on hand — customer information, supplier exchanges, and internal company records that contain data.

CS, a cuckoo search-based algorithm with specialized indexing, deduplication, and discrete update strategies that mines high ...

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Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all. Moreover, unique (and unpublished) database schemas per tool require ...

Both process mining and data mining can help business leaders gain a competitive edge, but they work in different ways. Here's a look at what process mining and data mining do and how they are ...

Process mining bridges the gap between data mining and the modelling, control and improvement of business processes. Going forward, Gartner expects process mining and analysis will evolve to process ...