Abstract: Disclosed herein is a computer implemented method of determining a similarity score of a plurality of data records with a target data record in a data set. The similarity score allows a user to identify secondary data records, or pairs of data records, that disclose similar concepts. Also disclosed herein is a computer implemented method for presentation and visual navigation of a data set including related data records. The presentation of a data set using the disclosed method allows users of to quickly identify data records that are very similar to a data record of interest. The data set may include directly connected or indirectly connected patents.

Abstract: Disclosed herein is a computer implemented method of determining a similarity score of a plurality of data records with a target data record in a data set. The similarity score allows a user to identify secondary data records, or pairs of data records, that disclose similar concepts. Also disclosed herein is a computer implemented method for presentation and visual navigation of a data set including related data records. The presentation of a data set using the disclosed method allows users of to quickly identify data records that are very similar to a data record of interest. The data set may include directly connected or indirectly connected patents.

Abstract: Disclosed herein is a computer implemented method of determining a similarity score of a plurality of data records with a target data record in a data set. The similarity score allows a user to identify secondary data records, or pairs of data records, that disclose similar concepts. Also disclosed herein is a computer implemented method for presentation and visual navigation of a data set including related data records. The presentation of a data set using the disclosed method allows users of to quickly identify data records that are very similar to a data record of interest. The data set may include directly connected or indirectly connected patents.

Abstract: A method of preparing data for analysis, comprising the steps of receiving an initial data set including a plurality of records, each of the plurality of records including an identifier attribute and an associative attribute that identifies a further one or more records; receiving the further one or more records identified by the associative attribute in each of the plurality of records; and associating the further one or more records with the initial data set to form a final data set.

Abstract: Disclosed herein is a computer implemented method of determining a similarity score of a plurality of data records with a target data record in a data set. The similarity score allows a user to identify secondary data records, or pairs of data records, that disclose similar concepts. Also disclosed herein is a computer implemented method for presentation and visual navigation of a data set including related data records. The presentation of a data set using the disclosed method allows users of to quickly identify data records that are very similar to a data record of interest. The data set may include directly connected or indirectly connected patents.

Abstract: A method of preparing data for analysis, comprising the steps of receiving an initial data set including a plurality of records, each of the plurality of records including an identifier attribute and an associative attribute that identifies a further one or more records; receiving the further one or more records identified by the associative attribute in each of the plurality of records; and associating the further one or more records with the initial data set to form a final data set.

Abstract: A method for identifying clusters within a network including a plurality of nodes and links, comprising the steps of: determining a link value for each node in the network; determining a local maxima within the network by locating node values where the sum of link values are higher than the sum of link values for all adjacent nodes; determining a list of the shortest pathways between a local maximum and all other nodes in the network; collapsing the pathways in accordance with a predetermined algorithm; and associating all nodes that remain connected to each local maximum along the pathways.

Abstract: A method of preparing data for analysis, comprising the steps of receiving an initial data set including a plurality of records, each of the plurality of records including an identifier attribute and an associative attribute that identifies a further one or more records; receiving the further one or more records identified by the associative attribute in each of the plurality of records; and associating the further one or more records with the initial data set to form a final data set.