Abstract: A method, apparatus and computer program product for establishing a logical connection between an indirect utterance and a transaction is described. An indirect utterance is received from a user as an input to a conversational system. The indirect utterance is parsed to a first logical form. A first set of predicates and terms is mapped from the first logical form to a first subgraph in a knowledge graph. A second set of predicates and terms is mapped from a second logical form belonging to a transaction to a second subgraph of the knowledge graph. A best path in the knowledge graph between the first subgraph and the second subgraph is searched for while transforming the first logical form using the node and edge labels along the best path to generate an intermediate logical form. A system action is performed for a transaction if a graph structure of the intermediate logical form matches the graph structure of the logical form of the transaction above a threshold.

Abstract: A device may receive packet data identifying packets exchanged between client devices via a network of network devices. The device may classify the packet data based on timestamps and protocols associated with the packets and to generate classified packet data. The device may group the classified packet data into packet data sets corresponding to packet flows between pairs of the client devices. The device may select a packet data set, from the packet data sets, based on one or more filtering criteria. The device may process the packet data set to determine whether the packet data set is associated with one or more problem packets. The device may perform one or more actions based on determining whether the packet data set is associated with one or more problem packets.

Abstract: A device may receive packet data identifying packets exchanged between client devices via a network of network devices. The device may classify the packet data based on timestamps and protocols associated with the packets and to generate classified packet data. The device may group the classified packet data into packet data sets corresponding to packet flows between pairs of the client devices. The device may select a packet data set, from the packet data sets, based on one or more filtering criteria. The device may process the packet data set to determine whether the packet data set is associated with one or more problem packets. The device may perform one or more actions based on determining whether the packet data set is associated with one or more problem packets.

Abstract: A device may receive packet data identifying packets exchanged between client devices via a network of network devices. The device may classify the packet data based on timestamps and protocols associated with the packets and to generate classified packet data. The device may group the classified packet data into packet data sets corresponding to packet flows between pairs of the client devices. The device may select a packet data set, from the packet data sets, based on one or more filtering criteria. The device may process the packet data set to determine whether the packet data set is associated with one or more problem packets. The device may perform one or more actions based on determining whether the packet data set is associated with one or more problem packets.

Abstract: Various methods and systems such as in a software application are presented which may include automated purchase recommendations based on amalgamated purchase constraints (4) for business inventory maintenance, notation of events through noted event entry portals (31) for business related observation recordation, automatic facilitation of regular debut of initial suggested industry tied information (50), presentation of business performance data (65) and disparate substantially redundant business performance data (67) in a business performance display (66) for a summary review of business operations, and easy selection of inventory items (83) from a recommended hierarchical categorization of inventory items which may be used to create buying reports, ad hoc reports, and the like.

Abstract: Various methods and systems such as in a software application are presented which may include automated purchase recommendations based on amalgamated purchase constraints (4) for business inventory maintenance, notation of events through noted event entry portals (31) for business related observation recordation, automatic facilitation of regular debut of initial suggested industry tied information (50), presentation of business performance data (65) and disparate substantially redundant business performance data (67) in a business performance display (66) for a summary review of business operations, and easy selection of inventory items (83) from a recommended hierarchical categorization of inventory items which may be used to create buying reports, ad hoc reports, and the like.

Abstract: Various methods and systems such as in a software application are presented which may include automated purchase recommendations based on amalgamated purchase constraints (4) for business inventory maintenance, notation of events through noted event entry portals (31) for business related observation recordation, automatic facilitation of regular debut of initial suggested industry tied information (50), presentation of business performance data (65) and disparate substantially redundant business performance data (67) in a business performance display (66) for a summary review of business operations, and easy selection of inventory items (83) from a recommended hierarchical categorization of inventory items which may be used to create buying reports, ad hoc reports, and the like.