Abstract: A system, method, and computer program product are provided for calculating network component value information. In use, network user information is received that is related to a plurality of network users in connection with at least one network. Such plurality of network users are organized into segments of network users, based on the network user information. Further, network usage charge information is identified that is related to charges for network usage over a predetermined amount of time, for at least one of the segments of network users. Also identified is network usage information related to network usage over the predetermined amount of time, for the at least one segment of network users. Based on this information, revenue rate information is calculated.

Abstract: A system, method, and computer program product are provided for performing real-time data model transformations. In operation, a data transformation system receives data from one or more source streams of data. The data transformation system identifies one or more target storage areas to store the data. The data transformation system identifies dependencies associated with the data based on relationship metadata associated with the data. Further, the data transformation system automatically transforms the data into a format associated with the one or more target storage areas such that the dependencies associated with the data are maintained. Moreover, the data transformation system stores the transformed data in the one or more target storage areas in the format associated with the one or more target storage areas such that the dependencies associated with the data are maintained.

Abstract: A system, method, and computer program product are provided for automatic root cause analysis. In operation, a root cause analysis system identifies at least one event associated with one or more records for which to perform a root cause analysis. The root cause analysis system performs a root cause analysis of the event by automatically generating a decision tree based on all records in the current time-window such that each leaf in the decision tree represents the probabilities for class labels of a target variable and each branch in the decision tree represents a feature that leads to a corresponding class label probability. The root cause analysis system automatically generates the decision tree by automatically selecting at each step the feature that maximizes information gain based on a current subset of data.

Abstract: In one aspect, the present invention is directed to a vehicular anti-theft system, comprising: sealed housing (31), interposed between the power brake boost (12) and the brake pump (14) of a wheel of a vehicle, the housing generating a closed space with the hydraulic space of the brake; an indication module (110), for indicating whether the vehicle is locked; a pushing mechanism (112), for pushing the transmission (24) of the hydraulic pump (14) of the wheel; and a controller (32), for activating the pushing mechanism (112) to push the transmission (24) upon indicating by the indication module (110) that the vehicle is locked; thereby braking the wheel upon locking the vehicle.