Abstract: The GENERALIZED DATA MINING AND ANALYTICS APPARATUSES, METHODS AND SYSTEMS (“GDMA”), in various embodiments, may identify statistical relationships among query terms by analyzing a corpus of electronic documents. Inputs may be automatically generated automatically and/or user provided. In one embodiment, a method includes: accessing a term tensor associated with at least one term in a corpus of documents, wherein the term tensor comprises a plurality of data type vectors corresponding respectively to a plurality of term-correlated data types correlated with the at least one term in the corpus and each data type vector comprising a plurality of binned data type values with corresponding weighted occurrence values derived from the corpus; providing at least one of the plurality of term-correlated data types for selectable display; receiving at least one term-correlated data type selection; and providing data type values associated with the at least one term-correlated data type selection for display.