Abstract: A set of SKUs is divided into a plurality of different Mean Field clusters, and a tracker (or sensor) is identified for each cluster. Product decisions for each Mean Field cluster are generated based on the tracker (or sensor) and each Mean Field cluster is then deconstructed to obtain product decisions for individual SKUs in the Mean Field cluster.

Abstract: A set of SKUs is divided into a plurality of different Mean Field clusters, and a tracker (or sensor) is identified for each cluster. Product decisions for each Mean Field cluster are generated based on the tracker (or sensor) and each Mean Field cluster is then deconstructed to obtain product decisions for individual SKUs in the Mean Field cluster.

Abstract: A set of SKUs is divided into a plurality of different Mean Field clusters, and a tracker (or sensor) is identified for each cluster. Product decisions for each Mean Field cluster are generated based on the tracker (or sensor) and each Mean Field cluster is then deconstructed to obtain product decisions for individual SKUs in the Mean Field cluster. An interrogation system operates an interpretation of rules that were used to generate the product discussion.

Abstract: A system facilitates dynamic data visualizations. The system includes an analysis component that periodically processes one or more incoming data streams to determine a visualization form from a plurality of visualization forms. A visualization component dynamically generates the visualization form based in part on the processing of the incoming data streams.

Abstract: A mobile computing device based expense capture and reporting system is provided. A mobile expense capture application is an integral part of a networked expense management service such as a Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP) service. A user interface enables users to enter expense related information and accept/reject/edit prompted values for various entries. Upon completion of the entries, the information is transmitted to the networked service and/or stored locally. At least a portion of the information is automatically provided based on a location and/or action of the user. Furthermore, the mobile computing device is capable of capturing an expense document and retrieving at least some of the expense information from the captured document.

Abstract: A collection of rules are translated into a mathematical constraint model for a business application to effectively encode the knowledge, apply the model, and suggest results in a highly consistent, highly performant manner. An integrated feedback mechanism enables the system to learn weights and relationships between related rules that may not be obvious to the knowledge workers and to detect the emergence of new factors for adjustments to the model. Constraints that may affect the outcome of the optimization may be considered instead of all constraints allowing the optimizer to run much more quickly. Parallelism may be enabled allowing execution of multiple optimization processes to evaluate multiple scenarios. Furthermore, outcome of the optimizations may be explained back to the user by providing the constraints that were considered.

Abstract: Providing for generation of a task oriented data structure that can correlate natural language descriptions of computer related tasks to application level commands and functions is described herein. By way of example, a system can include an activity translation component that can receive a natural language description of an application level task. Furthermore, the system can include a language modeling component that can generate the data structure based on an association between the description of the task and at least one application level command utilized in executing the computer related task. Once generated, the data structure can be utilized to automate computer related tasks by input of a human centric description of those tasks. According to further embodiments, machine learning can be employed to train classifiers and heuristic models to optimize task/description relationships and/or tailor such relationships to the needs of particular users.

Abstract: A mobile computing device based expense capture and reporting system is provided. A mobile expense capture application is an integral part of a networked expense management service such as a Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP) service. A user interface enables users to enter expense related information and accept/reject/edit prompted values for various entries. Upon completion of the entries, the information is transmitted to the networked service and/or stored locally. At least a portion of the information is automatically provided based on a location and/or action of the user. Furthermore, the mobile computing device is capable of capturing an expense document and retrieving at least some of the expense information from the captured document.

Abstract: A visualization development system is provided. The system includes a visualization tool to develop one or more visualizations and a grammar engine that operates with the visualization tool to automatically detect visualization problems during the development of the visualizations.

Abstract: A visualization development system is provided. The system includes a visualization tool to develop one or more visualizations and a grammar engine that operates with the visualization tool to automatically detect visualization problems during the development of the visualizations.

Abstract: A system facilitates dynamic data visualizations. The system includes an analysis component that periodically processes one or more incoming data streams to determine a visualization form from a plurality of visualization forms. A visualization component dynamically generates the visualization form based in part on the processing of the incoming data streams.

Abstract: Providing for generation of a task oriented data structure that can correlate natural language descriptions of computer related tasks to application level commands and functions is described herein. By way of example, a system can include an activity translation component that can receive a natural language description of an application level task. Furthermore, the system can include a language modeling component that can generate the data structure based on an association between the description of the task and at least one application level command utilized in executing the computer related task. Once generated, the data structure can be utilized to automate computer related tasks by input of a human centric description of those tasks. According to further embodiments, machine learning can be employed to train classifiers and heuristic models to optimize task/description relationships and/or tailor such relationships to the needs of particular users.

Abstract: The location of a drawing of an activity, a property of an element in the drawing and the structural relationship of elements in the drawing are stored in a database. The database is accessed to form a user interface that provides a hierarchical representation of activities and the elements within activities.