Finally, required two attributes, customer_list and purchase_records are found in the Dataset pool.
Again, rfm_sort_list including rfm_score are not in the Dataset pool but customer_ID can be retrieved from the Dataset pool while rfm_sort_list including rmf_score as a feature label triggers the algorithm, RFM_scoring.
The two types of retail data were collected through the online retail business and kept in the dataset pool.
It includes the following components: an objective-feature_label table, a dataset pool, an algorithm pool, feature_label discovery function, data_attribute discovery function, data_fusion function, and algorithm_fusion function.
However, sorted_instances is not contained in the Dataset pool but it as a feature label triggers the algorithm, RFM_score_sorting in the Algorithm pool.
Each triggered algorithm is associated with its required data attributes as its input and the data attributes are associated with datasets in the dataset pool.
The data attribute discovery engine checks if the data attributes required by the triggered algorithms are contained in the dataset pool.
We analyzed the trend by testing for interaction of the social factor and survey year in a dataset pooled from all three surveys.
A TMD dataset pool 'C' was constructed starting from 20 samples described in some of the DS AMKL related articles [ 18, 21, 22].
We also re-analyzed the López-Barragán et al. dataset (pooled from 4 strand-specific libraries in [ 7]) in parallel for comparison of coverage and level of strand-specificity.
