Abstract: A method includes a processing computer receiving a processing request message comprising user data from a remote server computer. The processing computer can then determine latent values associated with the processing request message based on the user data and a multiplex graph. The processing computer can then normalize the latent values based on a community group in the multiplex graph. The community group can include at least a part of the user data. The processing computer can transmit a processing response message comprising at least one normalized latent value to the remote server computer.

Abstract: A method includes a processing computer querying a data store for plurality of network data since a last epoch of data. The processing computer can generate matrices based on the plurality of network data and then perform tensor factorization on the matrices, to obtain latent values in the network data. The processing computer can then determine that the latent values satisfy a predetermined criterion. The processing computer can input the latent values into a model associated with the signal, wherein the model generates output data. The processing computer can then generate an alert comprising the output data and then transmit the alert to a remote server computer.

Abstract: In one aspect, a computing apparatus includes: a data warehouse configured to store transaction data, geo-demographic data, attitudinal data and lifestyle data of a plurality of customers; a profile generator coupled with the data warehouse to determine a profile for each respective customer of the plurality of customers, the profile including at least one profile parameter to cluster customers based on the transaction data, the geo-demographic data, the attitudinal data and the lifestyle data; and a segment detector coupled with the data warehouse to segment the plurality of customers in a space having at least one first dimension corresponding to the at least one profile parameter, a second dimension for a value score indicative of a level of profitability value of each respective customer, and a third dimension for a current status of each respective customer in connection with a goal.