Abstract: Traditional methods of prediction of the likelihood of churning in a given market such as wireless telecommunications are improved by inclusion of social network analysis to predict churning by members of a population in response to churning by any given individual member of that population. A sphere of influence of individual members of the population on other members of the population are modeled and analyzed through a plurality of degrees of separation and quantitatively evaluated by a number of relational algebraic joins in which at least one such join includes weights to assert a diminishing influence with number of degrees of separation.

Abstract: Traditional methods of prediction of the likelihood of churning in a given market such as wireless telecommunications are improved by inclusion of social network analysis to predict churning by members of a population in response to churning by any given individual member of that population. A sphere of influence of individual members of the population on other members of the population are modeled and analyzed through a plurality of degrees of separation and quantitatively evaluated by a number of relational algebraic joins in which at least one such join includes weights to assert a diminishing influence with number of degrees of separation.

Abstract: A solution for evaluating an entity includes assigning an attribute score to each of a plurality of attributes of the entity. For one or more of the attributes, the corresponding attribute score is assigned by determining one of a plurality of ranges of values that corresponds to an attribute value of the entity for the attribute and assigning the attribute score based on the determined one of the plurality of ranges. A composite score is generated for the entity based on the attribute scores for the attributes, which can be further processed to, for example, evaluate whether the event is suspicious in real time.

Abstract: A solution for evaluating a plurality of entities includes assigning an attribute score to each entity for each of a multitude of attributes. For one or more of the attributes, the corresponding attribute score is assigned based on a ranking of each entity with respect to the other entities for the attribute. A composite score is generated for each entity based on the attribute scores for the attributes, which can be further processed to, for example, identify a set of suspicious entities.

Abstract: A system and a method for developing and dynamically constructing multi-tiered distributed computing applications using a framework which allows the major elements involved in enterprise software applications, namely, the user interface, the data access, and the processing logic, to be independently developed. Moreover, the applications are dynamically created at time of use with pre-built software components or objects. The specifics of the applications such as functions, capabilities, user interface (UI) characteristics, etc., may depend on, for example, the user identity, the user preferences, and the terminal capability. Software development cost and turn-around time are reduced, promoting consistent UI design thus reducing user training cost, and allowing the applications to be dynamically created according to the user profile.