Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: The invention relates to a method, system and computer program product for provisioning in a communications network. The provisioning method includes at least a step for sending at least one request for defining measures relating to customers and/or services and/or network elements, the method including processing (20-23) each request, executing tasks according to the results of the processing step, and reporting the results to the requesting entity. In accordance with the invention, the processing steps are performed in functional layers (20-21) and the method steps of at least one layer (22) are performed by independently mountable and dismountable functional modules (30-34).

Abstract: The invention relates to a method, system and computer program product for provisioning in a communications network. The provisioning method includes at least a step for sending at least one request for defining measures relating to customers and/or services and/or network elements, the method including processing (20-23) each request, executing tasks according to the results of the processing step, and reporting the results to the requesting entity. In accordance with the invention, the processing steps are performed in functional layers (20-21) and the method steps of at least one layer (22) are performed by independently mountable and dismountable functional modules (30-34).