Amdocs Development Limited

Amdocs Software Systems Limited

Eitan Gal

Nir Pedhazur

Vivi Miranda

Oren Kafka

Gal Cohen

Dan Halbersberg

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. Still yet, network component usage information is identified that is related to at least one of a plurality of network components of the at least one network utilized in connection with the network usage over the predetermined amount of time, for the at least one segment of network users. To this end, network component value information is calculated that is associated with the at least one network component of the at least one network utilized in connection with the network usage over the predetermined amount of time. Further, such network component value information calculation is based on the revenue rate information and the network component usage information, for output purposes.

System, method, and computer program for calculating network value information

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.

System, method, and computer program for maintaining data dependencies during data transformation

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. The root cause analysis system then classifies which conditioned feature is a causal factor and which is a root cause of the event by using a conditional entropy equation on each branch leading to the tree leaf. The root cause analysis is repeatedly performed on sequential time-window sets of records gathered, per a sufficiently small time window for near-real-time root cause detection, yet sufficiently large records set for statistical significance.

Growing community of inventors

Tel Aviv, Israel

Eitan Gal