Abstract: The disclosed embodiments relate to a system and a method for process discovery. Embodiments of the present invention comprise extracting process data from a data source, creating a trace using the extracted process data, wherein the trace comprises a plurality of events, and detecting a process model using the plurality of events.

Abstract: Disclosed embodiments of the present invention relate to a system and method for automatic generation of a star schema. The system and method may comprise categorizing a data field into one of a plurality of data field types, one of the data field types being an enumeration type data field. The system and method may further comprise developing dimensions for a table that represents an initial star schema design using the categorization of the data, detecting functional dependencies between the data field and other data fields, and refining the initial star schema design by modifying the table based on detected functional dependencies.

Abstract: Embodiments of the invention provide a method and an apparatus for creating a digital dashboard. One embodiment provides a dashboard palette in an application. In addition, at least one object is provided for the dashboard palette, wherein at least one property of the at least one object is linked to a data source. The at least one object is then coupled with the dashboard palette to form a dashboard description. The dashboard description is then exported to a dashboard creator and publisher, wherein the dashboard creator and publisher provide a functional dashboard based on the dashboard description.

Abstract: Embodiments in accordance with the present invention include methods and systems for data prediction.

Abstract: A method and system for determining whether a composite service level agreement (SLA) may be met. An exemplary method comprises calculating a baseline metric value for a plurality component service level agreements (SLA) and comparing the baseline metric value to historical metric values for each of the plurality of component services.

Abstract: Method and apparatus for tracing operations of and interactions between components of a composite web service. An identifier code is generated at the initiation of a web service, and the identifier code is propagated in messages transmitted between components of the web service. The identifier code and message-description data are logged in a correlation database when a component receives a message and when a component sends a message.

Abstract: A method and system for integrating workflow management systems with business-to-business interaction standards. An automatic business-to-business (B2B) template generator is provided for supporting workflow design. The B2B template generator automatically generates process templates and service templates based either on a description of a business-to-business interaction standard is received or a structured representation of the business-to-business interaction standard. When the (B2B) template generator receives the description of business-to-business interaction standard as the input, the (B2B) template generator first converts the description of the business-to-business interaction standard into a structured representation of the business-to-business interaction standard. At least process template is automatically generated based on the structured representation of the business-to-business interaction standard. The template (e.g.

Abstract: A time series of data values representing occurrences of events at plural time points is received. Durations between successive events are computed, and a burst of activity based on the computed durations is detected. It is determined that a change has occurred in response to detecting the burst of activity.

Abstract: Systems and methods of investigating business processes are described. These systems and methods support real-time monitoring, analysis, management, and optimization of business processes. A graphical user interface enables users to apply data warehousing and data mining techniques to business process execution data and to visualize process execution data along multiple configurable dimensions and at different configurable levels of granularity.

Abstract: Embodiments of the present invention relate to a method of data analysis, comprising comparing a data point in a data stream and a previous data point in the data stream to identify a change direction of the data point based on a difference between the data point and the previous data point, comparing the change direction with a previous change direction to identify whether a trend change occurred for the data point, and identifying a change point that comprises a discrete data value in the data stream based on the trend change. The method also comprises comparing the change point with other data.

Abstract: Embodiments in accordance with the present invention include methods and systems for data prediction.

Abstract: An electronic services modeling tool for composite e-services and functionality, where a composite e-service is an e-service defined by composing other basic or composite e-services. Implementation of an e-service for composing e-services into a composite e-service. Characteristics of composite e-services and of their differences with respect to traditional workflow-like composition. Definition of a composition model suitable for e-services. Description of a prototype implementation, showing an approach that can be reused for implementing composition on top of any E-Services Platform. Providing composition functionality as an e-service, to be used not only by the owner of the ESP, but also by any designer-user. A specific type of e-service, meta-service, called Composition E-Service, allows the definition, execution, management, and monitoring of composite e-services. A language used for specifying the composition. Architecture and implementation of the CES to deliver the service on top of an ESP.

Abstract: Embodiments of the present invention relate to a system and method for discovering correlations among data. Embodiments of the present invention comprise detecting change points in time-series data streams, defining change point properties based on the change points, grouping together two time-series data streams that have a similar change point property, calculating a behavior index for the two time-series data streams, and assigning the two time-series data streams to a server taking into account the behavior index.

Abstract: The disclosed embodiments relate to a system and a method for process discovery. Embodiments of the present invention comprise extracting process data from a data source, creating a trace using the extracted process data, wherein the trace comprises a plurality of events, and detecting a process model using the plurality of events.

Abstract: Disclosed embodiments of the present invention relate to a system and method for automatic generation of a star schema. The system and method may comprise categorizing a data field into one of a plurality of data field types, one of the data field types being an enumeration type data field. The system and method may further comprise developing dimensions for a table that represents an initial star schema design using the categorization of the data, detecting functional dependencies between the data field and other data fields, and refining the initial star schema design by modifying the table based on detected functional dependencies.

Abstract: Embodiments of the present invention relate to a system and method for discovering time correlations among data. The method may include inputting time-series data and summarizing the time-series data at different time granularities. Additionally, the method may involve detecting change points in the time-series data, reducing a comparison of the time-series data to a one-to-one comparison, comparing the time-series data to generate correlation rules, and detecting correlations between the time-series data based on the correlation rules.

Abstract: A method and system for determining whether a composite service level agreement (SLA) may be met. An exemplary method comprises calculating a baseline metric value for a plurality component service level agreements (SLA) and comparing the baseline metric value to historical metric values for each of the plurality of component services.

Abstract: Method and apparatus for tracing operations of and interactions between components of a composite web service. An identifier code is generated at the initiation of a web service, and the identifier code is propagated in messages transmitted between components of the web service. The identifier code and message-description data are logged in a correlation database when a component receives a message and when a component sends a message.

Abstract: Systems and methods of analyzing decision points in a business process are described. In one aspect, process execution data that is generated by a workflow management system during execution of one or more instances of a business process involving a set of one or more activities and a set of one or more decision points is accessed. Based upon the accessed process execution data, a predictive quantitative model including a set of one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process is built. In another aspect, one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process are presented to a user.

Abstract: Systems and methods of investigating business processes are described. These systems and methods support real-time monitoring, analysis, management, and optimization of business processes. A graphical user interface enables users to apply data warehousing and data mining techniques to business process execution data and to visualize process execution data along multiple configurable dimensions and at different configurable levels of granularity.