Abstract: A convertible covering shelf structure for dividing a rear portion of a rear seat and a cargo space of a trunk compartment in a vehicle includes a first covering shelf provided behind the rear seat, a second covering shelf which is hingedly connected to a first end portion of the first covering shelf and is folded and horizontally deployed so that its upper surface faces the upper surface of the first covering shelf, and a pair of guide brackets fixed to a rear seat back frame of the vehicle and including a slit into which first and second sides of a second end portion of the first covering shelf is inserted to move the first covering shelf.

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: A method and apparatus for generating and/or using a customer frustration score are disclosed. In one embodiment, the method comprises generating a customer frustration index for a customer; and performing one or more operations based on the customer frustration index.

Abstract: A method and apparatus for generating and/or using a customer frustration score are disclosed. In one embodiment, the method comprises generating a customer frustration index for a customer; and performing one or more operations based on the customer frustration index.

Abstract: A system and method for using a data genome to identify suspicious financial transactions.

Abstract: A system and method for using a data genome to identify suspicious financial transactions.

Abstract: Briefly described, embodiments of the present invention pertains to a key performance indicator (KPI)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone KPI applications or pure-play centralized KPI solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques.

Abstract: Briefly described, embodiments of the present invention pertains to a key performance indicator (KPI)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone KPI applications or pure-play centralized KPI solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques.

Abstract: Briefly described, embodiments of the present invention pertains to a key performance indicator (KPI)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone KPI applications or pure-play centralized KPI solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques.

Abstract: An enterprise application may include logic to form an association between multiple memory regions each representing a document zone, logic to form memory regions representing collaborative states for each zone and to maintain the collaborative states independently of other zones, and logic to form memory regions representing workflow states for each zone and to maintain the workflow states independently of other zones.