Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.

Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.

Abstract: Disclosed are various embodiments for generating relevant notifications of content generated by third party data sources. In some embodiments, a system comprises a computing device and machine readable instructions. The computing device includes a processor and a memory. The machine-readable instructions can be stored in the memory that, when executed by the processor, cause the computing device to receive content from a third party data source based at least in part on a keyword topic. An embedding for the content is generated. The system can classify a portion of the content as associated with the keyword topic. Organizations can be identified from the portions of the content. The system can generate a list from the organizations identified in the content and transmit a notification to a client device regarding the content.

Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.

Abstract: A system and method may allow for improved accuracy for address matching. The system may receive an address input and preprocess the address input. The address input may be standardized to create a standardized address input. The standardized address input may be compared to a stored address. The system may calculate a first address matching score based on the comparison. The system may reinvestigate the standardization of the address input and calculate a second address matching score based on a second comparison. The system may compare the first address matching score to the second address matching score to improve accuracy in address matching.

Abstract: A distributed file system may store a plurality of entity attributes. A node consolidating system may identify similarities between entity attributes for different entities. The node consolidating system may generate an entity graph which displays relationships and similarities between entities in a graphical user interface.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.

Abstract: A system and method may allow for improved accuracy for name matching. The system may receive a name input and preprocess the name input. The name input may be tokenized to create a name token. The name token may be compared to a stored name. The system may calculate a first name matching score based on the comparison. The system may permute the name token to form a second level permutation name, compare the second level permutation name with the stored name, and calculate a second name matching score based on the comparison. The first name matching score may be compared with the second name matching score to improve accuracy in name matching.

Abstract: A distributed file system may store a plurality of entity attributes. A node consolidating system may identify similarities between entity attributes for different entities. The node consolidating system may generate an entity graph which displays relationships and similarities between entities in a graphical user interface.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.