Apparatus and method for clustering related tuples derived from content in an unstructured database

A computer implemented method, comprising:

• receiving at a server a baseline dataset from a network connected content source machine, where the baseline dataset is divisible by temporal or logical criteria;
• receiving at the server a target dataset from the network connected content source machine, where the target dataset represents a small fraction of the baseline dataset, the target dataset being segmented by the temporal or logical criteria;
• identifying, without user direction, numbers of documents containing individual terms within the baseline dataset to form baseline singles;
• identifying, without user direction, numbers of documents containing common combinations of individual terms within the target dataset to form target tuples, where each common combination of individual terms provides context for each term in the common combination;
• and
• coalescing, without user direction, combinations of the target tuples based upon baseline singles criteria to form a first coalesced dataset representing content in the target dataset, where the content includes thematic conceptual clusters in the target dataset.