Abstract: There is provided a method that includes (a) receiving data from a data source, (b) attributing the data source in accordance with rules, thus yielding an attribute, (c) analyzing the data to identify a confounding characteristic in the data, (d) calculating a qualitative measure of the attribute, thus yielding a weighted attribute, (e) calculating a qualitative measure of the confounding characteristic, thus yielding a weighted confounding characteristic, (f) analyzing the weighted attribute and the weighted confounding characteristic, to produce a disposition, (g) filtering the data in accordance with the disposition, thus yielding extracted data, and (h) transmitting the extracted data to a downstream process. There is also provided a system that executes the method, and a storage device that contains instructions for controlling a processor to perform the method.

Abstract: There is provided a transient dynamic semantic clustering engine that transforms disassociated dynamic data into a recursively curated and attributed, use-case specific association that is enhanced for consumption with structures for opining on the strength or other characteristics of usefulness of association attribution, and provenance of the association through a set of recursively evolving operations.

Abstract: A multidimensional recursive and self-perfecting process used to discover dyadic or multi-counterparty relationships between parties, the process comprising: (a) collecting information from a plurality of data sources; (b) discovering dyadic or multi-counterparty relationships between the parties from the collected information; (c) clustering the parties to infer the dyadic or multi-counterparty relationships between the parties based on common or partially intersecting attributes between the parties, thereby forming clustered parties; (d) evaluating the clustered parties for business linkage potential by integrating the collected information and contextually assessing indicia from the data sources to detect and measure consistency and inconsistency for a given party or dyadic or multi-counterparty relationship; (e) positing and evaluating relationship type and role said party plays in each relationship; and (f) assessing the confidence level regarding the likelihood that the dyadic or multi-counterparty rela

Abstract: Embodiments of a system and methods therefor including an optimized classifier builder and diagnostic engine that derandomizes event data for atypical yet coordinated behavior of actors that appears random to conventional predictors. The system is configured to diagnose and build Artificial Intelligence and machine learning classifiers that identify, differentiate and predict behaviors for entities and groups of entities that can be masked by conventional predictive classification.

Abstract: There is provided a method that includes parsing a string of characters into its graphemes, and generating a pattern of characters that represents an abstraction of the graphemes. There is also provided a system that performs the method, and a storage device that contains instructions for controlling a processor to perform the method.

Abstract: There is provided a method that includes (a) receiving an inquiry to initiate a search for data for a specific individual, (b) determining, based on the inquiry, a strategy and flexible predictiveness equations to search a reference database, (c) searching the reference database, in accordance with the strategy, for a match to the inquiry; and (d) outputting the match. The method may also output flexible feedback related to the match that reflects inferred quality of the match experience which can be used by an end-user to determine the degree to which the matched entity meets that end-user's quality-based criteria. There is also provided a system that performs the method, and a storage medium that contains instructions that control a processor to perform the method.

Abstract: A system and a method used for data discovery in accordance with an inquiry in which multiple sources, which may be web sites or other data sources, are examined for data relevant to the inquiry. The process and method is performed recursively an indeterminate number of iterations, using data and metadata from multiple sources to corroborate discovered data and metadata from other sources, until no further relevant data or sources are found, or adjudication or exception rules have been met. Discovered data and metadata are curated, adjudicated to assess reliability, synthesized, and clustered into composite records using precedence rules and provenance to determine the most reliable data sources as well as terms of use for each source. Data, metadata, and information about each search are retained and can be used for subsequent purposes, such as subsequent searches or other downstream activities.

Abstract: There is provided a method that includes (a) receiving data from a data source, (b) attributing the data source in accordance with rules, thus yielding an attribute, (c) analyzing the data to identify a confounding characteristic in the data, (d) calculating a qualitative measure of the attribute, thus yielding a weighted attribute, (e) calculating a qualitative measure of the confounding characteristic, thus yielding a weighted confounding characteristic, (f) analyzing the weighted attribute and the weighted confounding characteristic, to produce a disposition, (g) filtering the data in accordance with the disposition, thus yielding extracted data, and (h) transmitting the extracted data to a downstream process. There is also provided a system that executes the method, and a storage device that contains instructions for controlling a processor to perform the method.

Abstract: There is provided a method that includes (a) receiving data that describes a location, (b) extrapolating, from the data, an address associated with the location, (c) identifying a segment of a thoroughfare that includes the address, (d) defining a polygon that has a perimeter that encompasses a geographic region that is in a vicinity of the segment, (e) obtaining geo-coordinates of a point within the polygon, (f) identifying an address at the geo-coordinates, and (g) identifying an entity that is associated with the address at the geo-coordinates. There is also provided a system that performs the method, and a storage device that contains instructions that control a processor to perform the method.

Abstract: A multidimensional recursive and self-perfecting process used to discover dyatic or multi-counterparty relationships between parties, the process comprising: (a) collecting information from a plurality of data sources; (b) discovering dyatic or multi-counterparty relationships between the parties from the collected information; (c) clustering the parties to infer the dyatic or multi-counterparty relationships between the parties based on common or partially intersecting attributes between the parties, thereby forming clustered parties; (d) evaluating the clustered parties for business linkage potential by integrating the collected information and contextually assessing indicia from the data sources to detect and measure consistency and inconsistency for a given party or dyatic or multi-counterparty relationship; (e) positing and evaluating relationship type and role said party plays in each relationship; and (f) assessing the confidence level regarding the likelihood that the dyatic or multi-counterparty rela

Abstract: A system and method for deriving a material change attribute over time to predict a future change in at least one predictor, the method comprising: collecting precursor data from at least one data source; processing the precursor data by assessing at least one characteristic of the precursor data; generating at least one material change signal from the processed precursor data; evaluating the material change signal to determine the signal's value in predicting future changes in the predictor and, optionally, reverting to the collection and processing steps above to process additional precursor data; and generating at least one the material change attribute from the evaluated material change signal.

Abstract: There is provided a method that includes (i) receiving a first record that contains an identity of an individual, a name of a business, and a role of the individual in the business, (ii) matching the first record to data that provides a unique business identifier for the business, (iii) matching the first record to data that provides a unique individual identifier for the individual, (iii) appending to the first record (a) the unique business identifier, (b) the unique individual identifier, and (c) a unique role identifier for the role of the individual in the business, (iv) matching the first record to a second record based on the unique business identifier, the unique individual identifier, and the unique role identifier, and (v) consolidating the first and second records into a resultant record.

Abstract: There is provided a method that includes parsing a string of characters into its graphemes, and generating a pattern of characters that represents an abstraction of the graphemes. There is also provided a system that performs the method, and a storage device that contains instructions for controlling a processor to perform the method.

Abstract: There is provided a method that includes (a) receiving data that describes a location, (b) extrapolating, from the data, an address associated with the location, (c) identifying a segment of a thoroughfare that includes the address, (d) defining a polygon that has a perimeter that encompasses a geographic region that is in a vicinity of the segment, (e) obtaining geo-coordinates of a point within the polygon, (f) identifying an address at the geo-coordinates, and (g) identifying an entity that is associated with the address at the geo-coordinates. There is also provided a system that performs the method, and a storage device that contains instructions that control a processor to perform the method.

Abstract: There is provided a method for searching a database to obtain data. The method includes (a) prioritizing a set of keys that are derived from a match inquiry, thus yielding a prioritized set of keys, wherein the prioritizing is based on, for each key of the set, an efficacy of using the key, (b) determining a subset of the prioritized set, and (c) retrieving, using the subset, a set of candidates for satisfying the match inquiry.

Abstract: There is provided a method that includes matching records from a plurality of international import/export databases, to unique corporate identifiers, and merging data from the records into a global database. There is also provided a system that employs the method, and a storage device that contains instructions that cause a processor to execute the method.

Abstract: A method for generating a relevance score for at least one candidate retrieved in a search, the method comprising: initiating a query seeking at least one the candidate based upon at least one filter selected from the group consisting of: product name, product category, company name, HS code, SIC code and any other product-related qualifier; searching at least one database for matches between the candidate and the filter, thereby generating at least one matched candidate; generating an initial relevance score for each the matched candidate; generating at least one additional score for each the matched candidate, wherein the additional score is at least one selected from the group consisting of: a reputation score, a score boost, a past behavior score, a profile match score, a preference match score and a web behavior score; and generating a final relevance score based upon the initial relevance score and the at least one additional score for each the matched candidate.

Abstract: A system and a method used for data discovery in accordance with an inquiry in which multiple sources, which may be web sites or other data sources, are examined for data relevant to the inquiry. The process and method is performed recursively an indeterminate number of iterations, using data and metadata from multiple sources to corroborate discovered data and metadata from other sources, until no further relevant data or sources are found, or adjudication or exception rules have been met. Discovered data and metadata are curated, adjudicated to assess reliability, synthesized, and clustered into composite records using precedence rules and provenance to determine the most reliable data sources as well as terms of use for each source. Data, metadata, and information about each search are retained and can be used for subsequent purposes, such as subsequent searches or other downstream activities.

Abstract: There is provided a method that includes (a) receiving an inquiry to initiate a search for data for a specific individual, (b) determining, based on the inquiry, a strategy and flexible predictiveness equations to search a reference database, (c) searching the reference database, in accordance with the strategy, for a match to the inquiry; and (d) outputting the match. The method may also output flexible feedback related to the match that reflects inferred quality of the match experience which can be used by an end-user to determine the degree to which the matched entity meets that end-user's quality-based criteria. There is also provided a system that performs the method, and a storage medium that contains instructions that control a processor to perform the method.

Abstract: There is provided a method that includes (a) receiving an inquiry to initiate a search for data for a specific individual, (b) determining, based on the inquiry, a strategy and flexible predictiveness equations to search a reference database, (c) searching the reference database, in accordance with the strategy, for a match to the inquiry; and (d) outputting the match. The method may also output flexible feedback related to the match that reflects inferred quality of the match experience which can be used by an end-user to determine the degree to which the matched entity meets that end-user's quality-based criteria. There is also provided a system that performs the method, and a storage medium that contains instructions that control a processor to perform the method.