Abstract: Contextual graph matching based anomaly detection may include evaluating computer-generated log file data to create a master directed graph that specifies known events and transitions between the known events. The master directed graph may be processed to determine a plurality of decomposed master graph walks. Incoming computer-generated log file data may be evaluated to create an incoming directed graph that specifies unknown events and transitions between the unknown events. The incoming directed graph may be processed to determine a decomposed incoming walk. Overlap, distance difference, and correlation scores may be determined for each walk pair of a plurality of walk pairs including each of the plurality of decomposed master graph walks and the decomposed incoming walk. One of the decomposed master graph walks may be selected based on the overlap score, the difference score, and the correlation score, to detect an anomaly.

Abstract: Contextual graph matching based anomaly detection may include evaluating computer-generated log file data to create a master directed graph that specifies known events and transitions between the known events. The master directed graph may be processed to determine a plurality of decomposed master graph walks. Incoming computer-generated log file data may be evaluated to create an incoming directed graph that specifies unknown events and transitions between the unknown events. The incoming directed graph may be processed to determine a decomposed incoming walk. Overlap, distance difference, and correlation scores may be determined for each walk pair of a plurality of walk pairs including each of the plurality of decomposed master graph walks and the decomposed incoming walk. One of the decomposed master graph walks may be selected based on the overlap score, the difference score, and the correlation score, to detect an anomaly.

Abstract: Contextual graph matching based anomaly detection may include evaluating computer-generated log file data to create a master directed graph that specifies known events and transitions between the known events. The master directed graph may be processed to determine a plurality of decomposed master graph walks. Incoming computer-generated log file data may be evaluated to create an incoming directed graph that specifies unknown events and transitions between the unknown events. The incoming directed graph may be processed to determine a decomposed incoming walk. Overlap, distance difference, and correlation scores may be determined for each walk pair of a plurality of walk pairs including each of the plurality of decomposed master graph walks and the decomposed incoming walk. One of the decomposed master graph walks may be selected based on the overlap score, the difference score, and the correlation score, to detect an anomaly.

Abstract: Contextual graph matching based anomaly detection may include evaluating computer-generated log file data to create a master directed graph that specifies known events and transitions between the known events. The master directed graph may be processed to determine a plurality of decomposed master graph walks. Incoming computer-generated log file data may be evaluated to create an incoming directed graph that specifies unknown events and transitions between the unknown events. The incoming directed graph may be processed to determine a decomposed incoming walk. Overlap, distance difference, and correlation scores may be determined for each walk pair of a plurality of walk pairs including each of the plurality of decomposed master graph walks and the decomposed incoming walk. One of the decomposed master graph walks may be selected based on the overlap score, the difference score, and the correlation score, to detect an anomaly.

Abstract: A system provides location-based services through an enhanced mobile device. The system determines a current location of the mobile device, and determines whether the current location of the mobile device falls within one or more geographic regions defined in a database. If the current location falls within one or more of the geographic regions, the system identifies services available within the one or more geographic regions that the mobile device is determined to be within. The system generates a customized menu based on the identified services and displays the customized menu on the mobile device.

Abstract: A method, in one embodiment, can include encoding knowledge about a topic domain into a data modeling technique. Additionally, a set of candidate conditional functional dependencies can be generated based on a data set of the topic domain. Moreover, the set of candidate conditional functional dependencies and the data modeling technique encoded with the topic domain knowledge can be applied to the data set to obtain a plurality of data quality rules for the data set.

Abstract: Systems and methods consistent with the present invention allow an energy consumption index to be generated from DR response data and influencer data. The energy consumption index may indicate the energy consumption of a consumer before receiving a DR signal, the change in the consumption after the consumer receives a DR signal, and the consumer's propensity to respond to a DR signal. Systems and methods consistent with the present invention also allow energy providers to monitor, forecast, and plan for changes in consumer demand for energy. Various energy planning tools may facilitate an energy provider's ability to monitor, forecast, and plan for such changes.

Abstract: A method for implementing a closed-loop business process management lifecycle. The method comprising producing at least one to-be process model during a process analysis phase. Storing a copy of the at least one to-be process model. Automating the at least one to-be process model during a process automation phase. Producing data logs by applications implementing the automated to-be process models. Data mining the produced data logs during a process monitoring phase, to produce emerging to-be process models and updated to-be process models of automated to-be process models. Storing the emerging to-be process models and the updated to-be process models; and selecting ones of the stored emerging and updated to-be process models to provide to a new process analysis phase.

Abstract: Electrical distribution network (EDN) improvement method for plug-in electric vehicles receives and stores in a database EDN configuration information, demography information and load information for simulating load of the EDN assets. The method dynamically updates the EDN configuration, demography information and/or load information to provide an efficient and customizable method of simulating a PEV load impact on an EDN configuration and apply improvements to the EDN in real time.

Abstract: A system provides location-based services through an enhanced mobile device. The system determines a current location of the mobile device, and determines whether the current location of the mobile device falls within one or more geographic regions defined in a database. If the current location falls within one or more of the geographic regions, the system identifies services available within the one or more geographic regions that the mobile device is determined to be within. The system generates a customized menu based on the identified services and displays the customized menu on the mobile device.

Abstract: Enhanced delivery of services are provided through a wireless mobile device and one or more location service channels, preferably at the direction of the user of the mobile device requesting the desired service through common context-based user interfaces. The mobile device communicates with local and remote service providers. The context is determined by accessing information in the user profile, by sensors on the mobile device identifying items of interest, or by identifying the location of the mobile device. An aggregator server maintains a registry of location service channels and manages the access to the channels by the mobile device users and the service providers.

Abstract: A driving management system includes a driving data collection module and a processing module. The driving data collection module, which is deployed within a vehicle, collects individual vehicle operation information for the vehicle in response to operation of the vehicle. The processing module compares the individual vehicle operation information with collective empirical vehicle operation information to provide individual comparison results. The processing module also provides vehicle operation feedback information to at least one user associated with the vehicle based on the individual comparison results. The collective empirical vehicle operation information is at least based on vehicle operation information for a plurality of other vehicles.

Abstract: A method for implementing a closed-loop business process management lifecycle. The method comprising producing at least one to-be process model during a process analysis phase. Storing a copy of the at least one to-be process model. Automating the at least one to-be process model during a process automation phase. Producing data logs by applications implementing the automated to-be process models. Data mining the produced data logs during a process monitoring phase, to produce emerging to-be process models and updated to-be process models of automated to-be process models. Storing the emerging to-be process models and the updated to-be process models; and selecting ones of the stored emerging and updated to-be process models to provide to a new process analysis phase.

Abstract: Systems and methods consistent with the present invention allow an energy consumption index to be generated from DR response data and influencer data. The energy consumption index may indicate the energy consumption of a consumer before receiving a DR signal, the change in the consumption after the consumer receives a DR signal, and the consumer's propensity to respond to a DR signal. Systems and methods consistent with the present invention also allow energy providers to monitor, forecast, and plan for changes in consumer demand for energy. Various energy planning tools may facilitate an energy provider's ability to monitor, forecast, and plan for such changes.

Abstract: A method, in one embodiment, can include encoding knowledge about a topic domain into a data modeling technique. Additionally, a set of candidate conditional functional dependencies can be generated based on a data set of the topic domain. Moreover, the set of candidate conditional functional dependencies and the data modeling technique encoded with the topic domain knowledge can be applied to the data set to obtain a plurality of data quality rules for the data set.

Abstract: A system for analyzing a document in a repository is provided. The system receives a document that includes data and a document type. The document type has an associated physical structure. The system determines a logical structure of the document based in part on the data and selects a subset of the data based on at least one of the group including the associated physical structure and the logical structure. The system also stores a document segment that includes the selected subset of the data.

Abstract: “Context” of an environment or area is considered to be one or more characteristics of the environment or area, manifested by the presence of various types of equipment or devices. Detection of various types of devices and equipment in a localized area is by way of short-range wireless signals over which data about the devices is transmitted to one or more subscriber units. The subscriber units can forward context-determinative data and information to a service provider which can vicariously use the equipment or devices in the area via the subscriber device.

Abstract: A system for analyzing a document in a repository is provided. The system receives a document that includes data and a document type. The document type has an associated physical structure. The system determines a logical structure of the document based in part on the data and selects a subset of the data based on at least one of the group including the associated physical structure and the logical structure. The system also stores a document segment that includes the selected subset of the data.

Abstract: A system including a document repository is provided. The system determines, automatically, a level of similarity between at least two of a plurality of discrete elements stored in the document repository. The system then stores data representative of a link between the elements based in-part on the level of similarity. In another embodiment, the system determines a relationship between documents by retrieving a plurality of documents from a document repository. The system segments at least two documents of the plurality of documents into a plurality of conceptually meaningful segments. The system determines if a segment of one document is related to a segment of another document and stores data representative of the relationship.

Abstract: The present invention provides for a user interface of changeable images of selected goals from a plurality of goals, each image changing in appearance based upon preferences selected for each selected goal. First, a plurality of images are displayed in a frame. Each of the images represent a goal of a user. In operation, the user is permitted to select from the images in the frame. Further, a user is permitted to adjust preferences related to the goal represented by the selected image in the frame. The appearance of one or more of images in the frame is then altered based on the adjusted preferences of the goal represented by the selected image.