Aol Advertising Inc.

The University of North Carolina at Charlotte

Alireza Darvish

Aaron Eliasib Flores

Robert Luenberger

Hans Marius Holtan

Ali Nasiri Amini

Michael Jan Grebeck

Kayvan Najarian

A method, apparatus, and computer-readable medium estimate media performance on advertising space inventory. The method selects at least one media cell that shares one or more common attributes with a target media cell. The method subsequently estimates mean revenue per impression (RPI) of the selected media cell, and then defines an initial estimate of a RPI of the target media cell based on the estimated RPI of the selected cell. The method computes the RPI of the target media cell by combining the initial RPI estimate for the target media cell with performance data associated with the target media cell.

Method and system for media initialization via data sharing

The present disclosure provides an automated method for the detection and identification of money service business transactions, including: performing a preprocessing operation, wherein the preprocessing operation includes filtering a dataset; performing a feature extraction operation, wherein the feature extraction operation includes extracting predetermined features from a transaction signal; performing a statistical analysis operation for the testing of significance of extracted features and dimension reduction; and performing one or more of a nonlinear classification operation and a linear classification operation, wherein the nonlinear or linear classification operation includes classifying data that appears to be related to a money service business transaction.

Automated methods and systems for the detection and identification of money service business transactions

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Sunnyvale, CA, United States of America

Alireza Darvish