Abstract: An air cleaner assembly is described and shown which includes a housing having an air flow inlet, an air flow outlet and a housing body and access cover. A serviceable filter cartridge is positioned within the housing. A projection/receiver arrangement providing for engagement between the cartridge and the housing is provided. The projection/receiver arrangement can be configured in a manner that inhibits undesired motion of the cartridge, once installed. An example projection/receiver arrangement is provided, which includes a serpentine receiving groove on the access cover and a serpentine projection on the filter cartridge. Example filter cartridge features are described.

Abstract: A fuzzy matching system matching data records in one or more data sets based on user-customized selection of multiple fuzzy matching algorithms. Possible matches may be displayed to a user, who provides feedback on the accuracy of the matches, which may then be used by a machine learning algorithm to update weightings and parameters of the multiple fuzzy matching algorithms, such as based on machine learning analysis of the matching results and the user feedback.

Abstract: Systems and methods are provided for enhanced machine learning refinement and alert generation. An example method includes accessing datasets storing customer information reflecting transactions of customers. Individual risk scores are generated for the customers based on the customer information. Generating the risk score includes providing identified occurrences of scenario definitions and customer information as input to one or more machine learning models, the scenario definitions identifying occurrences of specific information reflected in the datasets, with the machine learning models assign respective risk scores to the customers. An interactive user interface is presented.