Abstract: A plurality of data keys are associated with a plurality of type values; query frequencies of the data keys are known. A computer memory is divided into a plurality of tranches, each tranche including a probabilistic or non-probabilistic data structure. The data keys are stored in the tranches in accordance with their query frequencies such that, e.g., frequently queried data keys are stored in data structures having higher accuracy and infrequently queried keys are stored in data structure having less accuracy (and consequently require less memory space).

Abstract: A plurality of data keys are associated with a plurality of type values; query frequencies of the data keys are known. A computer memory is divided into a plurality of tranches, each tranche including a probabilistic or non-probabilistic data structure. The data keys are stored in the tranches in accordance with their query frequencies such that, e.g., frequently queried data keys are stored in data structures having higher accuracy and infrequently queried keys are stored in data structure having less accuracy (and consequently require less memory space).

Abstract: The present method and system relate to categorizing URLs (Uniform Resource Locators) of web pages accessed by multiple users over an IP (Internet Protocol) based data network. The method and system collect real time data from IP data traffic occurring on the IP based data network, and extract parameters from the collected real time data, the parameters including an URL of a web page. The URL is processed by a rule based categorization engine, to associate a matching category to the URL of the web page. When no matching category is inferred, the URL is transferred to a semantic based categorization engine. A matching category is associated to the transferred URL by the semantic based categorization engine, based on a semantic analysis of the textual content extracted from the web page associated to the URL.

Abstract: A subscribers' profiling system for real-time subscriber profiling includes memorizing at least one profile consisting of a criterion and subscribers' demographic data. The subscribers' demographic data is analyzed to determine a subscriber-owned device for which the demographic criteria of a specific profile are met (by the demographic data of the subscriber). Information corresponding to the IP data traffic generated by a device is extracted in real time from the IP data records; the extracted information is analyzed in real time to determine that a contextual criterion or a data usage criterion of a specific profile is met. A computer-implemented subscriber's state manager is updated in real time when all the criteria of a specific profile are met for a device.

Abstract: The present method and system relate to categorizing URLs (Uniform Resource Locators) of web pages accessed by multiple users over an IP (Internet Protocol) based data network. The method and system collect real time data from IP data traffic occurring on the IP based data network, and extract parameters from the collected real time data, the parameters including an URL of a web page. The URL is processed by a rule based categorization engine, to associate a matching category to the URL of the web page. When no matching category is inferred, the URL is transferred to a semantic based categorization engine. A matching category is associated to the transferred URL by the semantic based categorization engine, based on a semantic analysis of the textual content extracted from the web page associated to the URL.

Abstract: The present method and system perform context aware deep pack inspection in a mobile IP data network. For doing so, the method and system collect real time data from mobile IP data sessions, analyze the real time data and differentiate user data traffic from control traffic. Then, the method and system extract control information from the control traffic and create a subscriber context. The subscriber context comprises the at least one unique identifier and the corresponding IP address.

Abstract: The present relates to a method and a system for identifying applications accessing HTTP (Hyper Text Transfer Protocol) based content in IP data networks. The method and system collects, by means of at least one collecting entity, real time data from IP data traffic occurring in an IP data network. The method and system extracts information from the collected real time data, the information comprising parameters related to an application accessing HTTP based content in the IP data network. And, the method and system transmits the information from the at least one collecting entity to an analytic system. The method and system further processes the information, at the analytic system. The processing comprises: analyzing the parameters related to an application accessing HTTP based content to identify the application.

Abstract: A method for extracting data information from data traffic flowing through a mobile IP network, in view of providing a substantially real-time view of the mobile IP network comprises receiving a copy of the data traffic and extracting sequentially, in relation to a layered-structure of the data traffic, information contained in the received copy of the data traffic. A system to carry out such method comprises a receiver of a copy of the data traffic and an extractor for sequentially extracting, in relation to a layered-structure of the data traffic, information contained in the received copy of the data traffic.

Abstract: The present method and system perform context aware deep pack inspection in a mobile IP data network. For doing so, the method and system collect real time data from mobile IP data sessions, analyze the real time data and differentiate user data traffic from control traffic. Then, the method and system extract control information from the control traffic and create a subscriber context. The subscriber context comprises the at least one unique identifier and the corresponding IP address.