Abstract: Systems and methods for predicting trace information include determining a plurality of trace candidates for one or more traces having missing path information, the plurality of trace candidates having path information for tasks of a business process model, which includes a plurality of independent parallel paths. Probabilities that each of the plurality of trace candidates for the business process model is an actual trace are computed using a processor for the one or more traces. One of the plurality of trace candidates is identified as the actual trace based on the probabilities to predict path information of the one or more traces.

Abstract: A method, system and computer program product for providing a best practice workflow to aid a user in completing a project. A system receives practice instances for completing a project (e.g., obtaining a job), where a “practice instance” refers to a graph of nodes and directed edges, where each node represents a task in a process for completing the project and each directed edge illustrates an execute sequence between two tasks. The system receives rankings from users (“crowdsourcing”) for each of these practice instances and computes a single ranking for each practice instance based on these received rankings. The system may then generate a workflow for completing a project based on these practice instances with a single ranking that exceeds a threshold and are directed to completing the same project. By using user feedback to rank these practice instances, a more effective and useful workflow will be generated.

Abstract: A method, system and computer program product for providing a best practice workflow to aid a user in completing a project. A system receives practice instances for completing a project (e.g., obtaining a job), where a “practice instance” refers to a graph of nodes and directed edges, where each node represents a task in a process for completing the project and each directed edge illustrates an execute sequence between two tasks. The system receives rankings from users (“crowdsourcing”) for each of these practice instances and computes a single ranking for each practice instance based on these received rankings. The system may then generate a workflow for completing a project based on these practice instances with a single ranking that exceeds a threshold and are directed to completing the same project. By using user feedback to rank these practice instances, a more effective and useful workflow will be generated.

Abstract: Embodiments relate to determining a process outcome based on a computed probability and altering the path of a process instance based on an expediting rule. An aspect includes executing, by a processing device, a process instance in a process diagram, which includes a plurality of process steps. A condition associated with a first process step is identified. An outcome for the first process step is then determined based on a computed probability. Accordingly, the first process step is bypassed and the process instance is branched to a second process step based on an expediting rule. The expediting rule includes the condition and a branching action according to a selected outcome.

Abstract: Embodiments relate to determining a process outcome based on a computed probability and altering the path of a process instance based on an expediting rule. An aspect includes executing, by a processing device, a process instance in a process diagram, which includes a plurality of process steps. A condition associated with a first process step is identified. An outcome for the first process step is then determined based on a computed probability. Accordingly, the first process step is bypassed and the process instance is branched to a second process step based on an expediting rule. The expediting rule includes the condition and a branching action according to a selected outcome.

Abstract: A method, information processing system, and computer program storage product manage connections between a virtual world and a social network. A set of virtual world information and a set of social network information are analyzed. A graph including a plurality of vertices is generated. Each vertex represents one of virtual world information and social network information. Each vertex is coupled to at least one other vertex by a respective edge. At least one edge of the graph couples a first vertex representing virtual world information and a second vertex representing social network information. At least one vertex is determined to be an articulation point having a respective edge. The removal of the respective edge of the articulation point causes a disconnection of the virtual world information from the social network information within the graph. A user is notified via a graphical user interface that the graph comprises the articulation point.

Abstract: A method and system for breaking a communications thread on a communications system includes monitoring a communications system having a plurality of users. An initial communications thread is identified between two or more of the plurality of users on the communications system. The initial communications thread is broken based on a criteria. The criteria includes a user initiated break wherein a user selectively breaks the initial communications thread. New communications threads are generated from the break in the initial communications thread which include, a first thread including communications before the break and a second thread including communications after the break. A link may be generated in each of the first and second threads referring to the other thread such that the initial communications thread is reconstituted when either of the links are selected.

Abstract: Systems and methods for data analysis include determining a patient trace as a set of medical events for a patient. Medical events of the patient trace are grouped into subsets of medical events using a processor according to a temporal relationship between the medical events. Co-occurring events are identified from the subsets of medical events as event clusters. A plurality of medical events in one or more of the subsets of the patient trace is represented using the event clusters to condense the patient trace.

Abstract: Systems and methods for data analysis include determining a patient trace as a set of medical events for a patient. Medical events of the patient trace are grouped into subsets of medical events using a processor according to a temporal relationship between the medical events. Co-occurring events are identified from the subsets of medical events as event clusters. A plurality of medical events in one or more of the subsets of the patient trace is represented using the event clusters to condense the patient trace.

Abstract: Systems and methods for data analysis include constructing patient traces as a set of medical events for each patient of a patient population, the patient population being segmented based on patient outcomes. Medical events in one or more of the patient traces are reduced to provide processed patient traces. The processed patient traces are clustered to identify a cluster of patient traces. A process model is mined, using a processor, representing an aggregation of treatment pathways in the patient traces from the cluster. Patterns from patient traces are identified that are discriminative of patient outcomes. At least one of the patterns is represented with respect to the process model to identify treatment pathways correlated with the patient outcomes.

Abstract: Systems and methods for data analysis include constructing patient traces as a set of medical events for each patient of a patient population, the patient population being segmented based on patient outcomes. Medical events in one or more of the patient traces are reduced to provide processed patient traces. The processed patient traces are clustered to identify a cluster of patient traces. A process model is mined, using a processor, representing an aggregation of treatment pathways in the patient traces from the cluster. Patterns from patient traces are identified that are discriminative of patient outcomes. At least one of the patterns is represented with respect to the process model to identify treatment pathways correlated with the patient outcomes.

Abstract: Methods and arrangements for imparting a communications delay. A delay is dynamically determined for sending an outgoing communication. The determining includes using information derived from at least one of: a social network graph and a business network graph, and the determined delay is applied to the outgoing communication.

Abstract: Activity is balanced in a media sharing environment. To balance the activity, a computer determines the uploading activity of a plurality of members of a media sharing environment, as well as the tagging activity of the plurality of members. The computer compares the uploading activity to the tagging activity and determines a scoring coefficient responsive to the comparison. The computer determines a member score for one of the plurality of members based on the scoring coefficient. The computer can subject the member to discipline if the member score violates a low threshold, or to a reward if the member score violates a high threshold. The scoring coefficient can be determined to induce the plurality of members to favor either one of the uploading activity and the tagging activity over the other.

Abstract: Systems and methods are provided for the automatic detection of different types of changes in a business process. A system includes a transformer for performing a transformation on data derived from process traces or models extracted from the processes traces to generate transformed data. The process traces are for a business process corresponding to a set of related tasks for a specified goal. Each of the models has at least a transition matrix of dimension N×N, where N is a total number of the related tasks. The system further includes a change detector for performing change detection on the transformed data to identify at least one of when a change occurs in the business process and a degree of the change.

Abstract: Embodiments of the present invention provide a method, system and computer program product for intelligent content discovery for content consumers in the global Internet. In an embodiment of the invention, a method for intelligent content discovery for content consumers includes parsing a list of previously viewed content in a content browser executing in memory of a computer to identify different content sources for the previously viewed content. The method also includes directing crawling of the content sources over a computer communications network to retrieve updated content from the content sources. The method yet further includes filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile of an end user and an end user preference of the end user. Finally, the method includes presenting a list of the subset of updated content in the content browser.

Abstract: A system for visualizing a process includes a trace manager receiving a plurality of trace sets, each trace set having a plurality of business process execution traces, each of the business process execution traces being a representation of an individual work flow, a model generator creating a model from each of the trace sets, each model being a directed graph including a work flow of an aggregate of the business process execution traces in a respective trace set, a model comparator extracting a plurality of differences between the models and creating a comparison result based on the plurality of differences, wherein the comparison result is stored to a collaborative system, and a trace set identifier configured to identify a subset of the trace set based on a selected subsection of the model, where the subset of trace set exhibits at least one difference extracted from the selected subsection of the model.

Abstract: A method for predictive analytics in a semi-structured process including receiving traces of the semi-structured process, at least one of the traces including a document content value, determining a process model from the traces, the process model comprising tasks at nodes of the semi-structured process and embodies all possible execution sequences in the process, determining a probabilistic graph including a probability at each of the tasks of the semi-structured process advancing from one task to another task, and combining the process model and probabilistic graph to determine a probabilistic process model including probabilities and strengths of transitions between tasks.

Abstract: A method, system and computer program product for determining health of a case. The method includes the steps of: obtaining at least one correlated trace from (i) task descriptions or (ii) data related to the task descriptions or a process instance; calculating at least one current metric using (i) the task descriptions, (ii) the data, (iii) the correlated trace or (iv) a first model; calculating at least one prognostic metric using a second model; and creating at least one combination metric from the current metric and the prognostic metric; where at least one of the steps is carried out using a computer device.

Abstract: A method, information processing system, and computer program storage product link information associated with a virtual world with information associated with a social collaboration platform. A virtual world user identifier and a social collaboration platform user identifier are stored. The virtual world identifier is associated with a set of virtual world contacts for the respective user. The social collaboration platform user identifier is associated with a set of social collaboration contacts for the user. The virtual world user identifier is linked to the social collaboration platform user identifier. An association is determined between at least one of the set of social collaboration contacts and the virtual world identifier set of virtual world contacts and the social collaboration platform user identifier, respectively, for the respective user.

Abstract: A computer-implemented method, system, and article of manufacture for determining a set of correlated data among heterogeneous computer applications. The method includes providing a computer system having software modules, receiving statistics on data relating to a first event and a second event, generating a confidence score for an attribute set, where the attribute set includes an attribute from the first event data and an attribute from the second event data, and selecting the attribute set as a set of correlated data if the confidence score is within a threshold value.