Oracle International Corporation

Americo Caves

Reza M B'Far

Kent Arthur Spaulding

Yasin Cengiz

Elizabeth Lingg

Chengxiao Fu

Paiting Ou

Christopher Hluchan

Fun Goh

Venkata Sree Ramya Manchikanti

Yenal Kal

Yemin Shi

User profiles can be analyzed to identify profiles matching to the same identity. For example, profiles from different social network systems are analyzed to determine if the profiles are associated with the same user of the social network systems. Multiple heuristics may be calculated using different algorithms. The calculated heuristics may then be combined to generate a match score that indicates whether two profiles match.

Semi-supervised identity aggregation of profiles using statistical methods

Reputation metrics are used to gauge risk of individuals to an organization, such as employees of a business. The reputation metrics may be calculated from both internal and external data sources, including social network profiles of the individuals. Calculations of risk are used to make determinations regarding the activities the individuals are authorized to engage in.

Reputation-based auditing of enterprise application authorization models

Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

Techniques for application tuning

Application configuration generation

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Irvine, CA, United States of America

Americo Caves