Abstract: Embodiments of the present disclosure provide systems and methods for mining outcomes from a given dataset and quantifying the confidence in the outcomes. The method includes receiving an input data file for extracting a set of data attributes and a plurality of data points from the input data file based on a first machine learning model. Further, the method includes generating a plurality of outcomes based at least on the set of data attributes and the plurality of data points. The method includes computing a confidence score for each of the plurality of outcomes based on a second machine learning model. Further, the method includes determining a threshold factor for the confidence score. The method includes displaying the outcome, the confidence score, and the threshold factor associated with the outcome at a user interface (UI) rendered by an application based on selection of the outcome from the plurality of outcomes.

Abstract: In some embodiments, an apparatus includes a core network node configured to associate with a native multicast group a first client device that is associated with a first virtual local area network (VLAN) and operatively coupled to the core network node via a first access network node and an aggregation network node. The core network node can associate with the native multicast group a second client device that is associated with a second VLAN and operatively coupled to the core network node via a second access network node and the aggregation network node. The core network node can define a multicast VLAN including the first VLAN and the second VLAN based on the native multicast group. The core network node can receive a multicast data unit associated with the native multicast group and can also define a single instance of the multicast data unit for the multicast VLAN.

Abstract: In some embodiments, an apparatus includes a core network node configured to associate with a native multicast group a first client device that is associated with a first virtual local area network (VLAN) and operatively coupled to the core network node via a first access network node and an aggregation network node. The core network node can associate with the native multicast group a second client device that is associated with a second VLAN and operatively coupled to the core network node via a second access network node and the aggregation network node. The core network node can define a multicast VLAN including the first VLAN and the second VLAN based on the native multicast group. The core network node can receive a multicast data unit associated with the native multicast group and can also define a single instance of the multicast data unit for the multicast VLAN.