Abstract: Provided are techniques for testing pairings to determine whether they are publically known. It is determined whether a pairing from a record is publicly known by searching public data stores. The pairing is marked with an outcome of the determining. An operation is performed on the pairing based on the outcome.

Abstract: Provided are techniques for testing pairings to determine whether they are publically known. It is determined whether a pairing from a record is publicly known by searching public data stores. The pairing is marked with an outcome of the determining. An operation is performed on the pairing based on the outcome.

Abstract: According to one embodiment of the present invention, a system for determining related entities includes at least one processor. The system identifies one or more candidate entities for a data object associated with an entity based on one or more features. The entity and candidate entities are each associated with one or more features and each feature is associated with one or more behaviors. The identified candidate entities related to the entity are determined based on the associated behaviors of the features of the identified candidate entities and the entity. Embodiments of the present invention further include a method and computer program product for determining related entities in substantially the same manner described above.

Abstract: Embodiments relate to reconciling different entity identifiers. A method of reconciling different entity identifiers of a same entity is provided. The method receives a plurality of series of location-time data items from a plurality of tracking systems that each track one or more entities. Each series of location-time data items is associated with an entity identifier. The method categorizes each location-data item into a space-time region. The method generates a track for each of the plurality of series of location-time data items based on the space-time regions into which the location-data items are categorized, and generates a track signature for each of the generated tracks based on a segment of the generated track. The method compares the track signatures to find matching track signatures. Based on a plurality of matching signatures, the method reconciles the plurality of entity identifiers associated with the plurality of matching signatures to a particular entity.

Abstract: Embodiments relate to reconciling different entity identifiers. A method of reconciling different entity identifiers of a same entity is provided. The method receives a plurality of series of location-time data items from a plurality of tracking systems that each track one or more entities. Each series of location-time data items is associated with an entity identifier. The method categorizes each location-data item into a space-time region. The method generates a track for each of the plurality of series of location-time data items based on the space-time regions into which the location-data items are categorized, and generates a track signature for each of the generated tracks based on a segment of the generated track. The method compares the track signatures to find matching track signatures. Based on a plurality of matching signatures, the method reconciles the plurality of entity identifiers associated with the plurality of matching signatures to a particular entity.

Abstract: Provided are techniques for testing pairings to determine whether they are publically known. It is determined whether a pairing from a record is publicly known by searching public data stores. The pairing is marked with an outcome of the determining. An operation is performed on the pairing based on the outcome.

Abstract: Provided are techniques for testing pairings to determine whether they are publically known. It is determined whether a pairing from a record is publicly known by searching public data stores. The pairing is marked with an outcome of the determining. An operation is performed on the pairing based on the outcome.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: Techniques are disclosed for using spheres-of-influence to characterize network relationships, where a graph depicts stronger relationships as being closer to an entity than more tenuous relationships. That is, while an entity may have many first-degree relationships, some relationships are closer than others. Thus, relationships where one entity may have a greater degree of influence over another are characterized as being closer to an entity in a graph. Similarly, a tenuous first-degree relationship may be characterized as being at a greater “depth” from the entity in the graph.

Abstract: Methods for evaluating an original resolved entity in an entity resolution engine. A resolved entity is selected. The resolved entity includes two or more observed entities. It is attempted to separate the selected resolved entity into two or more virtual resolved entities based on a number of like features. In response to detecting that more than one virtual entity remains after decomposing the selected resolved entity, an entity resolution process is iteratively performed on each remaining virtual resolved entity until no further entity resolution events are triggered, and in response to detecting that two or more virtual resolved entities remain after the entity resolution process, the resolved entity is unresolved.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for evaluating an original resolved entity in an entity resolution engine. A resolved entity is selected. The resolved entity includes two or more observed entities. It is attempted to separate the selected resolved entity into two or more virtual resolved entities based on a number of like features. In response to detecting that more than one virtual entity remains after decomposing the selected resolved entity, an entity resolution process is iteratively performed on each remaining virtual resolved entity until no further entity resolution events are triggered, and in response to detecting that two or more virtual resolved entities remain after the entity resolution process, the resolved entity is unresolved.

Abstract: Method, system, and computer program products, implementing and using techniques for processing data representing observations of entities. An anonymized key is generated. The anonymized key represents a spacetime region with which an entity is associated. The spacetime region represents a spatial region and a time interval. The entity is associated with the spacetime region based on spacetime coordinates for the entity.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: A similarity between character strings is assessed by identifying first and second character strings as candidate similar character strings, determining a frequency of occurrence for at least one of the first and second character strings from a collection of character strings, and designating the first and second character strings as similar based on the determined frequency of occurrence.

Abstract: Method, system, and computer program products, implementing and using techniques for processing data representing observations of entities. An anonymized key is generated. The anonymized key represents a spacetime region with which an entity is associated. The spacetime region represents a spatial region and a time interval. The entity is associated with the spacetime region based on spacetime coordinates for the entity.

Abstract: Embodiments relate to reconciling different entity identifiers. A method of reconciling different entity identifiers of a same entity is provided. The method receives a plurality of series of location-time data items from a plurality of tracking systems that each track one or more entities. Each series of location-time data items is associated with an entity identifier. The method categorizes each location-data item into a space-time region. The method generates a track for each of the plurality of series of location-time data items based on the space-time regions into which the location-data items are categorized, and generates a track signature for each of the generated tracks based on a segment of the generated track. The method compares the track signatures to find matching track signatures. Based on a plurality of matching signatures, the method reconciles the plurality of entity identifiers associated with the plurality of matching signatures to a particular entity.

Abstract: Embodiments relate to reconciling different entity identifiers. A method of reconciling different entity identifiers of a same entity is provided. The method receives a plurality of series of location-time data items from a plurality of tracking systems that each track one or more entities. Each series of location-time data items is associated with an entity identifier. The method categorizes each location-data item into a space-time region. The method generates a track for each of the plurality of series of location-time data items based on the space-time regions into which the location-data items are categorized, and generates a track signature for each of the generated tracks based on a segment of the generated track. The method compares the track signatures to find matching track signatures. Based on a plurality of matching signatures, the method reconciles the plurality of entity identifiers associated with the plurality of matching signatures to a particular entity.

Abstract: Methods for processing data. A first spacetime event observation is received. A second spacetime event observation is received. A singularity of presence indicator is received for a zone of space and a range of time corresponding to one or more of: the first spacetime event observation and the second spacetime event observation. It is determined whether the first spacetime event observation and the second spacetime event observation belong to a same entity using the singularity of presence indicator.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for processing data. A first spacetime event observation is received. A second spacetime event observation is received. A singularity of presence indicator is received for a zone of space and a range of time corresponding to one or more of: the first spacetime event observation and the second spacetime event observation. It is determined whether the first spacetime event observation and the second spacetime event observation belong to a same entity using the singularity of presence indicator.