Data aggregation user interface and analytic adapted for a KStore
First Claim
1. A computer implemented method for obtaining desired information from an interlocking trees datastore comprising:
- establishing aggregation parameters from received input,traversing said interlocking trees datastore comprising elemental root nodes, subcomponent nodes and end-product nodes using asCase and asResult bidirectional links for determining paths within the interlocking trees datastore structure, with said established aggregation parameters so as to establish a set of paths within said interlocking trees datastore in accord with said established aggregation parameters,wherein said interlocking trees data store has already recorded a collection of data such that relationships of said collection of data are modeled by said interlocking trees datastore, said interlocking trees datastore situated within memory accessible to a process running in a computer, said interlocking trees datastore comprising a structured collection of nodes connected by links of said nodes having pointers to other nodes of said interlocking trees datastore, wherein said nodes containing a count field, said nodes including at least nominally different kinds of nodes, a first kind called root nodes of which there are at least one primary root node and at least one elemental root node and which may include other root nodes, a second kind of node called an end of thought (EOT) node, at least one node of a third kind of node called a subcomponent node, and at least one node of a kind of node called an end product node, and wherein there exist at least two kinds of said links, Result and Case links, wherein said Result links point between a one of said root nodes and any other node, and wherein said bi-directional Result links point between a Result field of one node and an asResult list of another node, and wherein said bi-directional Case links point between the Case field of one node and an asCase list of another node.
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Abstract
Aggregation of data in an interlocking trees datastore, especially when the interlocking datastore is a KStore is described. It details consolidating data into a summary or aggregation so that some particular desired analytic type of operation may easily be performed on the data. It uses a set of data constraints across the entire data set. This redefines the data set, which may be for example, individual receipts granular by week or month. When data is learned into a KStore, aggregation parameters may be collected and these parameters may be used to constrain the dataset recorded in K, and direct performance of an analytic on a particular a field value(s). Additional features and details are provided within.
119 Citations
18 Claims
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1. A computer implemented method for obtaining desired information from an interlocking trees datastore comprising:
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establishing aggregation parameters from received input, traversing said interlocking trees datastore comprising elemental root nodes, subcomponent nodes and end-product nodes using asCase and asResult bidirectional links for determining paths within the interlocking trees datastore structure, with said established aggregation parameters so as to establish a set of paths within said interlocking trees datastore in accord with said established aggregation parameters, wherein said interlocking trees data store has already recorded a collection of data such that relationships of said collection of data are modeled by said interlocking trees datastore, said interlocking trees datastore situated within memory accessible to a process running in a computer, said interlocking trees datastore comprising a structured collection of nodes connected by links of said nodes having pointers to other nodes of said interlocking trees datastore, wherein said nodes containing a count field, said nodes including at least nominally different kinds of nodes, a first kind called root nodes of which there are at least one primary root node and at least one elemental root node and which may include other root nodes, a second kind of node called an end of thought (EOT) node, at least one node of a third kind of node called a subcomponent node, and at least one node of a kind of node called an end product node, and wherein there exist at least two kinds of said links, Result and Case links, wherein said Result links point between a one of said root nodes and any other node, and wherein said bi-directional Result links point between a Result field of one node and an asResult list of another node, and wherein said bi-directional Case links point between the Case field of one node and an asCase list of another node. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A computer system having software and hardware therein which when operating in said computer system:
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establishes aggregation parameters from received input, traverses an interlocking trees datastore comprising elemental root nodes, subcomponent nodes and end-product nodes using asCase and asResult bidirectional links for determining paths within the interlocking trees datastore structure, with said established aggregation parameters so as to establish a set of paths within said interlocking trees datastore in accord with said established aggregation parameters, wherein said interlocking trees data store has already recorded a collection of data such that relationships of said collection of data are modeled by said interlocking trees datastore, said interlocking trees datastore situated within memory accessible to a process running in a computer, said interlocking trees datastore comprising a structured collection of nodes connected by links of said nodes having pointers to other nodes of said interlocking trees datastore, wherein said nodes containing a count field, said nodes including at least nominally different kinds of nodes, a first kind called root nodes of which there are at least one primary root node and at least one elemental root node and which may include other root nodes, a second kind of node called an end of thought (EOT) node, at least one node of a third kind of node called a subcomponent node, and at least one node of a kind of node called an end product node, and wherein there exist at least two kinds of said links, Result and Case links, wherein said Result links point between a one of said root nodes and any other node, and wherein said bi-directional Result links point between a Result field of one node and an asResult list of another node, and wherein said bi-directional Case links point between the Case field of one node and an asCase list of another node.
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Specification