The Nielsen Comapny (us), LLC

Argyle Data, Inc.

Padraig Stapleton

David Petersen

David Aaron Staub

Hing On Ngai

Arshak Navruzyan

Benjamin Ip

In one example, a method includes receiving a feature vector that characterizes a call history for a telephone network subscriber, wherein the feature vector comprises respective categorical values for one or more categorical features and respective continuous values for one or more continuous features, and applying, to the categorical values, a first algorithm to determine a categorical score for the feature vector. The example method further includes applying, to the continuous values, an isolation forest algorithm to determine a continuous score for the feature vector, and outputting, in response to determining at least one of the categorical score for the feature vector and the continuous score for the feature vector indicate the feature vector is anomalous, an indication that the feature vector is anomalous.

Anomaly detection in streaming telephone network data

Example methods and apparatus to collect information on a wireless device are disclosed. A disclosed example method involves executing collecting information instructions in a firmware layer of a wireless device and outside of an operating system context to store collected information about the usage of the wireless device and to send the collected information to a data center separate from the wireless device. The collected information indicates when a media access occured on the wireless device.

Methods and apparatus to collect wireless information

Example methods, apparatus, and articles of manufacture to collect wireless information are disclosed. A disclosed example method involves installing an operating system and a data collector to execute outside a context of the operating system on a wireless handheld device. A testing process is performed to ensure functionality of the wireless handheld device. An application is installed on the wireless handheld device to execute in the context of the operating system. The data collector is to collect usage information regarding the application and to provide the usage information to a network provider.

Methods and apparatus to monitor communication system transceivers are disclosed. For example, the disclosed system may determine the number and locations of available cellular stations. An example method includes receiving a first message from a base station, receiving a second message from the base station, extracting a first parameter from the first message, extracting a second parameter different from first parameter from the second message, determining if the first message and the second message were received from the same base station based on the first parameter and the second parameter, and reporting that the first message and the second message were from the same base station if the first message and the second message were received from the same base station. Some implementations of the disclosed methods and apparatus enable pseudorandom number codes received over-the-air from base stations to be grouped by base station.

Methods and apparatus to analyze communication system transceivers

A method of collecting information on a wireless device. A wireless device may comprise a processor, a transceiver, a memory and a data collecting component. The data collecting component is operable to monitor the wireless device and collect information (e.g., wireless network information, wireless device information and wireless device usage information). In one embodiment, at least a portion of the data collecting component is installed within and/or below the operating system. For example, at least a portion of the data collecting component may be embedded within the operating system, the kernel, the firmware and/or on top of the firmware, the kernel or any combination thereof. In one embodiment, the collected information may be processed, stored and transmitted. Accordingly, the data collector component operates in a non-intrusive/transparent manner by utilizing less memory space and produces fewer errors without causing a system slowdown while maintaining high level of privacy and security.

Growing community of inventors

Pleasanton, CA, United States of America

Padraig Stapleton