Hewlett-Packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

Mehmet Oguz Sayal

Ming-Chien Shan

Fabio Casati

Umeshwar Dayal

Maria G Castellanos

Kemal Guler

Meichun Hsu

Burcu Aydin

Parvathi Chundi

Jerry Zhaolin Shan

Mehmet Kivanc Ozonat

Akhil Sahai

Vijay Machiraju

Fereydoon Safai

Enis Kayis

Aad Van Moorsel

Ablimit Aji

Natalia Vasileva

Yifan Li

Systems and methods are provided for performing a fast simulation using test parameter vectors as inputs. The method includes retrieving precomputed samples from a sample repository stored in a non-volatile memory, the precomputed samples being precomputed using a simulated model, predetermined parameter vectors, and random inputs; storing respective subsets of the precomputed samples in local memories of a plurality of respective hardware processors; storing the test parameter vectors in the local memories of the hardware processors; at each of the hardware processors, selecting a subset of the precomputed samples stored in the local memory of the hardware processor based on the test parameter vectors, computing test samples by executing the simulated model using the test parameter vectors and the random inputs; and combining the subset of the precomputed samples and the test samples to produce a simulation result.

Systems and methods for performing a fast simulation

A method performed by a processing system displays a graph of a portion of a rolling horizon time series corresponding to a realization of a realization time series adjacent to a graph of the realization time series.

Displaying a visualization of a portion of a rolling horizon time series

Systems, methods, and machine readable and executable instructions are provided for determining offer terms from text. A method for determining offer terms from text can include mapping keywords to a domain of a procurement event, and receiving, to a computing device, an offer text associated with the procurement event. Event-specific entities are identified, by the computing device, in the offer text. The computing device determines the domain of the procurement event from the identified event-specific entities, and using the mapped keywords corresponding to the determined domain, determines offer components from the offer text, extracts offer parameters from the offer text, and constructs the offer structure using the identified event-specific entities, derived offer components, and extracted offer parameters.

Determining offer terms from text

One embodiments of the present invention is directed to a data-analysis system, implemented as one or more electronic computers that execute one or more computer programs. The data-analysis system includes a metadata-extraction component that extracts indications of data entities and relationships between data entities from data stored on one or more electronic-memory and mass-storage devices, a relationship-inference component that analyzes the data to infer additional relationships between data entities, a context-determination component that determines one or more contexts within which the data is analyzed, and a navigational analysis tool, displayed on a computer device, that provides an interface that allows for navigation between relationship-interconnected data entities within each of one or more contexts, for viewing representations of data entities and relationships, and for editing and updating the relationships.

Method and system for analyzing data stored in a database

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.

Method and a system for process discovery

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.

System and method for developing a star schema

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.

Method and apparatus for creating a digital dashboard

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.

Method and system to determine if a composite service level agreement (SLA) can be met

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.

Correlation of web service interactions in composite web services

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., B2B service template or B2B process template) can be utilized by a user to design both quickly and efficiently a complete process (e.g., a workflow with B2B interaction points).

Method and system for integrating workflow management systems with business-to-business interaction standards

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.

Determining that a change has occured in response to detecting a burst of activity

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.

Investigating business processes

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.

System and method of data analysis

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.

Modeling tool for electronic services and associated methods and businesses

Document clustering method and system utilizing both the log-based clustering method and the content-based clustering method are disclosed. The method includes the steps of generating log-based document clusters and combining vectors from the log-based document clusters with individual document clusters for content-based clustering analysis. The log-based document clusters are generated by accessing the retrieval session log, clustering the retrieval sessions, and combining the documents opened during each of the sessions of session clusters.

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Sunnyvale, CA, United States of America

Mehmet Oguz Sayal