Described herein are systems, methods, and computer programs that may be utilized perform ensemble-based identification of sequences of steps corresponding to executions of a Business Processes (BP). In one embodiment, a sequence parser module receives one or more streams of steps performed during interactions with an instance of a software system, which belongs to a certain organization, and selects, from among the one or more streams, candidate sequences of steps. A BP-scorer module utilizes models of the BP to calculate, for each sequence from among the candidate sequences, values indicative of whether the sequences correspond to executions of the BP. The models are generated based on sequences corresponding to executions of the BP that are associated with a plurality of organizations. An ensemble aggregator module utilizes the values calculated for each of the candidate sequences to identify among them one or more sequences that correspond to executions of the BP.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system configured to perform an ensemble-based identification of sequences corresponding to executions of a business process (BP), comprising: memory configured to store computer executable modules; and one or more processors configured to execute the computer executable modules; the computer executable modules comprising: a sequence parser module configured to receive one or more streams of steps performed during interactions with an instance of a software system, which belongs to a certain organization, and to select, from among the one or more streams, candidate sequences of steps; a BP-scorer module configured to utilize a model of the BP to calculate, for each sequence from among the candidate sequences, a value indicative of whether the sequence corresponds to an execution of the BP based on the model; and an ensemble aggregator module configured to utilize a plurality of values calculated for each of the candidate sequences to identify, from among the candidate sequences, one or more sequences that correspond to executions of the BP; wherein each of the plurality of values calculated for a sequence is calculated by the BP-scorer module utilizing a model from among a plurality of models; wherein the plurality of models comprise first and second models of the BP, generated based on sequences corresponding to executions of the BP that are associated with first and second organizations, respectively. 2. The system of claim 1, wherein the ensemble aggregator module is configured to identify a sequence as corresponding to an execution of a BP when at least a certain proportion of the plurality of values calculated for the sequence reaches a threshold, and not to identify a sequence as corresponding to an execution of a BP when the proportion of the plurality of values calculated for the sequence that reaches the threshold is below the certain proportion. 3. The system of claim 1, wherein the ensemble aggregator module is further configured to weight each value, from among the plurality of values calculated for a sequence from among the candidate sequences, based on a similarity between an organization corresponding to a model used to calculate the value and the certain organization; wherein the more similar the organization to the certain organization, the higher the weight of the value; and wherein an organization corresponds to a model when sequences of steps corresponding to executions of the BP, which are associated with the organization, are utilized to generate the model. 4. The system of claim 1, wherein an execution of a BP is associated with an organization if at least one of the following statements is true: (i) at least some steps involved in the execution of the BP are performed by a user belonging to the organization, and (ii) at least some steps involved in the execution of the BP are executed on a certain instance of a software system belonging to the organization. 5. The system of claim 1, further comprising one or more monitoring agents configured to generate the one or more streams of steps; wherein each monitoring agent generates a stream comprising steps performed as part of an interaction with the instance of the software system. 6. The system of claim 1, wherein the plurality of models of the BP comprise a model that comprises a pattern describing a sequence of steps involved in the execution of the BP. 7. The system of claim 1, wherein the plurality of models of the BP comprise a model that describes an automaton configured to recognize an execution of the BP based on a sequence of steps. 8. The system of claim 1, wherein the plurality of models of the BP comprise a model that comprises parameters used by a machine learning-based predictor configured to receive feature values determined based on a sequence of steps and to calculate a value indicative of a probability that the sequence of steps represents an execution of the BP. 9. A method for performing an ensemble-based identification of sequences corresponding to executions of a business process (BP), comprising: receiving, by a system comprising a processor and memory, one or more streams of steps performed during interactions with instances of one or more software systems, which belong to a certain organization; selecting, from among steps belonging to the one or more streams, candidate sequences of steps; calculating, for each sequence from among the candidate sequences, a plurality of values; wherein each value is calculated utilizing a model, from among a plurality of models, and is indicative of whether the sequence corresponds to an execution of the BP based on the model; wherein the plurality of models comprise first and second models of the BP, generated based on sequences corresponding to executions of the BP that are associated with first and second organizations, respectively; and utilizing the plurality of values calculated for each of the candidate sequences to identify, from among the candidate sequences, one or more sequences that correspond to executions of the BP. 10. The method of claim 9, further comprising monitoring the interactions with the instances of the one or more software systems; wherein the monitoring involves at least one of the following types of monitoring: internal monitoring, and interface monitoring. 11. The method of claim 9, further comprising identifying a sequence as corresponding to an execution of a BP when at least a certain proportion of the plurality of values calculated for the sequence reaches a threshold, and not identifying a sequence as corresponding to an execution of a BP when the proportion of the plurality of values calculated for the sequence that reaches the threshold is below the certain proportion. 12. The method of claim 9, further comprising weighting each value, from among the plurality of values calculated for a sequence from among the candidate sequences, based on a similarity between an organization corresponding to a model used to calculate the value and the certain organization; wherein the more similar the organization to the certain organization, the higher the weight of the value; and wherein an organization corresponds to a model when sequences of steps corresponding to executions of the BP, which are associated with the organization, are utilized to generate the model. 13. The method of claim 9, further comprising identifying values of an execution-dependent attribute (EDA) in at least some of the steps comprised in the one or more streams and selecting the candidate sequences such that for each candidate sequence, the steps belonging to the candidate sequence are associated with the same value of the EDA; and wherein the EDA corresponds to one or more of the following types of values: a mailing address, a Universal Resource Locator (URL) address, an Internet Protocol (IP) address, a phone number, an email address, a social security number, a driving license number, an address on a certain blockchain, an identifier of a digital wallet, an identifier of a client, an identifier of an employee, an identifier of a patient, an identifier of an account, and an order number. 14. The method of claim 9, further comprising: generating links between pairs of steps that are among steps belonging to the one or more streams; wherein at least some of the links are between pairs of steps that are not consecutively performed steps in the same stream; and selecting the candidate sequences utilizing the links; wherein for each pair of consecutive steps in a candidate sequence at least one of the following is true: the pair is a pair consecutive steps in a stream from among the streams, and the pair is linked by at least one of the links. 15. A non-transitory computer-readable medium having instructions stored thereon that, in response to execution by a system including a processor and memory, causes the system to perform steps comprising: receiving one or more streams of steps performed during interactions with instances of one or more software systems, which belong to a certain organization; selecting, from among steps belonging to the one or more streams, candidate sequences of steps; calculating, for each sequence from among the candidate sequences, a plurality of values; wherein each value is calculated utilizing a model, from among a plurality of models, and is indicative of whether the sequence corresponds to an execution of a Business Process (BP) based on the model; wherein the plurality of models comprise first and second models of the BP, generated based on sequences corresponding to executions of the BP that are associated with first and second organizations, respectively; and utilizing the plurality of values calculated for each of the candidate sequences to identify, from among the candidate sequences, one or more sequences that correspond to executions of the BP. 16. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of monitoring the interactions with the instances of the one or more software systems; wherein the monitoring involves at least one of the following types of monitoring: internal monitoring, and interface monitoring. 17. The non-transitory computer-readable medium of claim 15, further comprising identifying a sequence as corresponding to an execution of a BP when at least a certain proportion of the plurality of values calculated for the sequence reaches a threshold, and not identifying a sequence as corresponding to an execution of a BP when the proportion of the plurality of values calculated for the sequence that reaches the threshold is below the certain proportion. 18. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of weighting each value, from among the plurality of values calculated for a sequence from among the candidate sequences, based on a similarity between an organization corresponding to a model used to calculate the value and the certain organization; wherein the more similar the organization to the certain organization, the higher the weight of the value; and wherein an organization corresponds to a model when sequences of steps corresponding to executions of the BP, which are associated with the organization, are utilized to generate the model. 19. The non-transitory computer-readable medium of claim 15, further comprising instructions defining a step of identifying values of an execution-dependent attribute (EDA) in at least some of the steps comprised in the one or more streams and selecting the candidate sequences such that for each candidate sequence, the steps belonging to the candidate sequence are associated with the same value of the EDA; and wherein the EDA corresponds to one or more of the following types of values: a mailing address, a Universal Resource Locator (URL) address, an Internet Protocol (IP) address, a phone number, an email address, a social security number, a driving license number, an address on a certain blockchain, an identifier of a digital wallet, an identifier of a client, an identifier of an employee, an identifier of a patient, an identifier of an account, and an order number. 20. The non-transitory computer-readable medium of claim 15, further comprising instructions defining the following steps: generating links between pairs of steps that are among steps belonging to the one or more streams; wherein at least some of the links are between pairs of steps that are not consecutively performed steps in the same stream; and selecting the candidate sequences utilizing the links; wherein for each pair of consecutive steps in a candidate sequence at least one of the following is true: the pair is a pair consecutive steps in a stream from among the streams, and the pair is linked by at least one of the links.