Abstract: In some embodiments, an apparatus includes a geometric aggregator that receives data for a set of time periods and a location. The data has a first set of first metric values and a set of second metric values for each time period and lacks a mixture of Gaussian distributions. The geometric aggregator calculates a geometric aggregation of the data for each time period to produce a first metric value from a second set of first metric values, having a mixture of Gaussian distributions. The apparatus includes a Gaussian mixture model that predicts a set of Gaussian distributions, each uniquely associated with a season, within a set of histogram values for the data based on the second set of first metric values. The apparatus includes a presentation portion that produces a set of adjusted first metric values based on the set of histogram values, each uniquely associated with a season.

Abstract: One or more embodiments described herein relate to database and data structure management to improve the storage capabilities and processing accuracy of location data for compliance monitoring. In known database systems, the quantity of location data available and/or collected can pose storage and/or processing challenges. Some embodiments described herein relate to the management of databases and/or data structures, including when data is created, modified, and/or deleted, to improve storage efficiency and/or relevance of stored data. One or more systems and methods described herein may automate the process of monitoring, collecting, storing, analyzing, and utilizing data and information.

Abstract: One or more embodiments described herein relate to database and data structure management to improve the storage capabilities and processing accuracy of location data for compliance monitoring. In known database systems, the quantity of location data available and/or collected can pose storage and/or processing challenges. Some embodiments described herein relate to the management of databases and/or data structures, including when data is created, modified, and/or deleted, to improve storage efficiency and/or relevance of stored data. One or more systems and methods described herein may automate the process of monitoring, collecting, storing, analyzing, and utilizing data and information.