Yahoo! Inc.

Oath Inc.

International Business Machines Corporation

Ncr Corporation

Ashutosh Singh

Varun Bhagwan

Jaikit Savla

Rahul Teotia

Ramachandran Natarajan Iyer

Patrick Mason

Tanveer Fathima Syeda-Mahmood

Guy Maring Lohman

Peter Haas

John Michael Lake

Jignesh M Patel

Navin Kabra

Disclosed herein is a system to validate information about a user, or users, derived from publicly-accessible data. The system comprises a validation system that uses private data about the user to validate the user information derived from the publicly-accessible data. The validation system may receive a validation request in connection with an inconclusive result derived from the publicly-accessible data.

System and method for privacy aware information extraction and validation

System and method for privacy-aware information extraction and validation

Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to implement a queuing system with an adjustable scalability/reliability level.

Method of queuing signals

A method for monitoring dependent metric streams for anomalies including identifying a plurality of sets of dependent metric streams from a plurality of metric streams of a computer system by measuring an association of the plurality of metric streams using a statistical dependency measure analysis, wherein each set includes a plurality of the dependent metric streams and each metric stream includes a plurality of data, determining a subset of the plurality of sets of dependent metric streams to monitor by selecting a quantity of the sets of dependent metric streams that have a highest statistical dependency, cleaning the data of each set of dependent metric streams of the subset by identifying and removing outlier data, fitting a probability density function to the cleaned data of each set of dependent metric streams of the subset, wherein the probability density function is a likelihood function that provides a likelihood of an occurrence of the cleaned data, determining a detection threshold that is a lower threshold on the likelihood of the occurrence of the cleaned data of each set of dependent metric streams of the subset based on the likelihood function, detecting an anomaly if a likelihood of an occurrence of a new data of one of the sets of dependent metric streams of the subset is less than the detection threshold, and transmitting an alert signal in response to detecting the anomaly.

Method for monitoring dependent metric streams for anomalies

One or more embodiments of the invention provide the ability to utilize the Java programming language as a stored procedure language. One or more embodiments of the invention provide for Java abstract data types (ADT) that map to ADT attributes from a database. The Java ADT can then be manipulated in an application written in the Java programming language such as a stored procedure. Each ADT attribute from a database is mapped to a Java class by wrapping the ADT definition (which is commonly written in C &plus;&plus;) in a Java wrapper. The wrapping process enables a user to write any client side Java application. Once the ADTs are wrapped and a stored procedure is created, the stored procedure must be able to execute. Enhancements permit a stored procedure written in the Java programming language to execute. Such enhancements include a server side cursor that the stored procedure can use to run SQL queries. Additionally, the server has been enhanced to link to a Java virtual machine that can be used to execute the bytecodes of the stored procedure written in the Java programming language.

Method and apparatus for using Java as a stored procedure language and as an embedded language on a client

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San Jose, CA, United States of America

Ashutosh Singh