Federal Home Loan Mortgage Corporation (freddie Mac)

Keenan Moukarzel

Annette M Best

Ankit Goel

Sukhdeep Kaur Sherry

Deepthi Ganta

Thomas C Schweikert

Deanna Jo Dabney

Matthew Brian Maycott

Domenico Cacciavillani

Samuel Edward Oliver, Iii

Chengcheng Xiong

Tatyana Krol

In an illustrative embodiment, systems and methods for predicting network service outages gather log data from processes executing on computing device(s), produce training data from the log data for training tree-based machine learning model(s) and metrics calculated therefrom, periodically apply data sets derived from future log data and metrics calculated therefrom to the machine learning model(s) to predict critical error(s)/system outage(s), and periodically update the trained machine learning models using the periodically applied data sets.

Tree-based system problem prediction and mitigation

In an illustrative embodiment, an automated system links data files associated with loan submissions that have different identification attributes. The system may include computing systems and devices for receiving requests from a number of remote computing systems to identify loan products associated with a data file. The system can generate a matching input matrix comparing identification attributes from a first data file to identification attributes of candidate data files. The system can apply attribute matching rules to the matching input matrix to identify other data files that correspond to the same loan product as the first data file despite the data files having different identification attributes. The system can link data files corresponding to the same loan product within a data repository with a product linking key and output the linking key or other data for the loan product to a receiving computing system.

Systems and methods for detecting and linking data objects across distributed platforms

Growing community of inventors

Falls Church, VA, United States of America

Keenan Moukarzel