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US 12,596,723 B2Granted
Dynamic valuation system using object relationships and composite object data
AssigneeChicago Mercantile Exchange Inc.
InventorsSeo Wook Jang, Jeon Ho Cho, Bo Miao, Cham Hong Po, Yaotian Zhang, Panagiotis Xythalis, Matthew Morano
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Abstract
The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.
Claims20
A computer implemented method comprising:
- identifying, by a processor coupled with a non-transitory memory, sets of base and composite data objects stored in the non-transitory memory, each composite data object characterized by a value based on two or more base data objects of the set of base data objects, the value further characterized by a level of confidence of a plurality of external sources in the value and a quantity of the plurality of external sources, and deriving, based thereon, a ranking value of each composite data object;
- identifying, by the processor, a first plurality of composite data objects of a set of composite data objects, each of which including at least one of the two or more base data objects having an object relationship with a first core data object identified by the processor from the set of base data objects based on the level of confidence corroborated by the plurality of external sources;
- storing, by the processor, in a first data structure, data indicative of each of the first plurality of composite data objects and the two or more base data objects on which the value thereof is based, the ranking value thereof, and the first core data object;
- generating, by the processor from the first data structure, a first subset of the data indicative of only the object relationships therebetween having a highest ranking value;
- and
- determining, by the processor based on generating the first subset, a value of the two or more base data objects.
3 more elements
A system comprising:
- a processor;
- and
- a non-transitory memory coupled with the processor via a network, the non-transitory memory storing computer executable instructions to cause the processor to:
- identify, sets of base and composite data objects stored in the non-transitory memory, each composite data object characterized by a value based on two or more base data objects of the set of base data objects, the value further characterized by a level of confidence of a plurality of external sources in the value and a quantity of the plurality of external sources, and deriving, based thereon, a ranking value of each composite data;
- identify a first plurality of composite data objects of a set of composite data objects, each of which including at least one of the two or more base data objects having an object relationship with a first core data object identified by the processor from the set of base data objects based on the level of confidence corroborated by the plurality of external sources;
- store, in a first data structure, data indicative of each of the first plurality of composite data objects and the two or more base data objects on which the value thereof is based, the ranking value thereof, and the first core data object;
- generate a first subset of the data indicative of only the object relationships therebetween having a highest ranking value;
- and
- determine, based thereon on the generation of the first subset, a value of each of the two or more base data objects.
6 more elements
A system comprising:
- means for identifying sets of base and composite data objects stored in a non-transitory memory, each composite data object characterized by a value based on two or more base data objects of the set of base data objects, the value further characterized by a level of confidence of a plurality of external sources in the value and a quantity of the plurality of external sources, and deriving, based thereon, a ranking value of each composite data object;
- means for identifying a first plurality of composite data objects of a set of composite data objects, each of which including at least one of the two or more base data objects having an object relationship with a first core data object identified from the set of base data objects based on the level of confidence corroborated by the plurality of external sources;
- means for storing in a first data structure, data indicative of each of the first plurality of composite data objects and the two or more base data objects on which the value thereof is based, the ranking value thereof, and the first core data object;
- means for generating from the first data structure, a first subset of the data indicative of only the object relationships therebetween having a highest ranking value;
- and
- means for determining, based thereon on generating the first subset, a value of each of the two or more base data objects.
3 more elements
Dependencies are inferred from the claim text.