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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Cloud computing has proved to be good ground for SQL and NoSQL open source databases, making new technologies readily available as services to users, while benefiting the cloud providers and database ...

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 Moreover, unique (and unpublished) database schemas per tool require ...

Few problems in data mining are as deceptively simple to state and as brutal to solve as finding patterns that recur across a ...