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This Concept Map, created with IHMC CmapTools, has information related to: 08. Remarks, classification variables can be continuous, product Y necessary for use of product X, Remarks BACK Logic of Phenomenal Data Mining, Subpopulations e.g. women, Customer buying product X, A Relation between observations, Subpopulations could be deduced, grouping baskets by customers, mounting service is purchased, Never Returns could be detected by grouping baskets, Never Returns would not show as direct correlation, deduced without prior knowledge, classification variables can be discrete, discoverable by approximate factor analysis, number of types = rank k, Customer but not buying product Y, Customer must go to another store, direct correlation in the data, Customer i with probability P(i,j), Linear is probably discoverable