Xad, Inc.

Reza Paul Banikazemi

Carmel Zimroni

Ravi Shukla

Rupesh Verma

Jesal Deepak Janani

Zak Sellers

A method of forecasting comprises, for each respective time period of a plurality of time periods, transforming a plurality of observations from the respective time period into observation sketches. The method then proceeds to extract a set of targeted attributes and constraints from a forecast request, and construct a set expression using the targeted attributes and the associated constraints. The method further comprises selecting one or more sample periods from the plurality of time periods, and for each sample period of the one or more selected sample periods: mapping the set of targeted attributes to observation sketches in the sample period to identify a subset of sketches, and performing a set operation on the subset of sketches using the set expression to determine a cardinality corresponding to the sample period; and generating a forecast result using one or more cardinalities corresponding to the one or more sample periods.

System and method of forecasting based on periodical sketching of big data of observations

A mobile device running a software application is configured to provide initial location data to a server when it is first turned on, or reaches a predetermined movement status. The server determines, based on the initial location data, geo data including a set of geo-fences near the mobile device and a region including areas defined by the set of geo-fences, and provides the geo data to the mobile device. The mobile device is further configured to collect its locations when the mobile device is within any of the set of geo-fences and to provide the collected locations to the server. The mobile device is further configured to track its movement status after it has been outside the region and, in response to having reached a predetermined movement status, obtain updated geo data including a new region and a new set of geo-fences from the server. The software application enables efficient tracking of mobile device locations and reduces power consumption.

Systems and methods for location tracking using dynamically generated geo data

A mobile device running a software application is configured to provide initial location data to a server when it is first turned on, or achieves a predetermined movement status. The server determines, based on the initial location data, geo data including a set of areas of interest (AOIs) near the mobile device and a region including the set of AOIs, and provides the geo data to the mobile device. The mobile device is further configured to track its locations when the mobile device is within any of the set of AOIs and to provide the tracked locations to the server. The mobile device is further configured to track its movement status after it has been outside the region, and, in response to a predetermined movement status being detected for a predetermined amount of time, obtain updated geo data including a new region and a new set of AOIs from the server. The software application enables efficient tracking of mobile device locations and reduces power consumption.

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San Jose, CA, United States of America

Reza Paul Banikazemi