Abstract: Systems and methods perform analytics and visualization of Big Data. A multiscale geosocial network apparatus can be used for identifying prospective customers and communities of customers with shared interests. A model and visualization of customer signatures for analyzing trends in customer behaviors and making long-term forecasts about future customer activities. An analytics and visualization tool is presented for inventory management using comprehensive event analysis. A set of methods for optimizing shipping and storage costs uses historical data from a variety of data sources including social media platforms and business records of a corporation. The system and method take, as input, data and transform that data into insights that can provide guidance for a variety of decisions including new customer acquisition, managing customer portfolios, inventory management, and optimization of logistics as well as strategic business decisions and planning.

Abstract: Methods, systems, and apparatus, including computing device programs encoded on computing device storage media, for characterizing events in a data stream. In one of the methods a General Method, is used to construct a Specific Method, which performs the characterization of behavioral types of a particular system or set of systems. The Specific Method includes event extraction, dimensional reduction, and signature identification in the reduced dimensional space that map the events of a specific system into behavioral types.

Abstract: Methods, systems, and apparatus, including computing device programs encoded on computing device storage media, for characterizing events in a data stream. In one of the methods a General Method, is used to construct a Specific Method, which performs the characterization of behavioral types of a particular system or set of systems. The Specific Method includes event extraction, dimensional reduction, and signature identification in the reduced dimensional space that map the events of a specific system into behavioral types.

Abstract: A method for organizing, visualizing, and navigating data objects within a dataset is presented, including network visualization alongside a detailed information display. The method includes interactivity with the visualization through network panning, zooming, and node clicking. The network nodes represent the data objects. Node proximity and links represent similarity or other relatedness measures between respective data objects. The network can be displayed in full to illustrate large scale properties. Clicking the nodes provides further data object information of the highlighted node, which is displayed alongside the network.

Abstract: A method for validating and securing transactions involving multiple agents separated by physical space or scheduling constraints is presented. In the invention messages (informational tokens) are communicated at key junctures during a transaction (a transfer of goods or provision of services) to provide confirmation of the transaction to parties that are not present during the transaction. The transfer of informational tokens may occur by attachment to products or service related packages, through telephone, Internet or other inter-party communications channels.

Abstract: A neural network apparatus, and methods for training the neural network apparatus, for processing input information, supplied as a data array, for a prespecified application to indicate output categories characteristic of the processing for that application. In the invention, an input stage accepts the data array and converts it to a corresponding internal representation, and a data preprocessor analyzes the data array based on a plurality of feature attributes to generate a corresponding plurality of attribute measures. A neural network, comprising a plurality of interconnected neurons, processes the attribute measures to reach a neural state representative of corresponding category attributes; portions of the network are predefined to include a number of neurons and prespecified with a particular correspondence to the feature attributes to accept corresponding attribute measures for the data array, and portions of the network are prespecified with a particular correspondence to the category attributes.