Abstract: A computer implemented method for mining risks includes providing a set of risk-indicating patterns on a computing device; querying a corpus using the computing device to identify a set of potential risks by using a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with the corpus; comparing the set of potential risks with the risk-indicating patterns to obtain a set of prerequisite risks; generating a signal representative of the set of prerequisite risks; and storing the signal representative of the set of prerequisite risks in an electronic memory. A computing device or system for mining risks includes an electronic memory; and a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with a corpus stored in the electronic memory.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that enable clients to create custom conditional segments on which other clients can claim a spot. In one aspect, a front-end server receives, over a data communication network and from an electronic device of a creator, one or more data packets that specify attributes of a segment created by the creator through a graphical interface presented at the electronic device. A back-end server detects, based on data received from the device, interaction with an interface control that designates the segment as a conditional segment and, in response obtains, from the device, an expiration time specifying how long the conditional segment is available to others. After obtaining the expiration time, clients are notified that the conditional segment is available and enabled to claim a spot on the conditional segment through a client-side application.

Abstract: In one example, a processor may generate a graph of vertices representing distribution areas of a telecommunication network and links between vertices of adjacent distribution areas, calculate similarity measures for the links based on distance scores between vertices joined by the links relating to: percentages of aerial infrastructure and percentages of multi-unit buildings in distribution areas represented by the two vertices, and whether or not the distribution areas represented by the two vertices are on a same route from a central office of the telecommunication network. The processor may label the links with the similarity measures to create a link-weighted adjacency graph, perform community detection on the link-weighted adjacency graph to generate sub-graphs, each sub-graph including at least one of the vertices, and provide a map of construction zones based upon geographic areas covered by distribution areas associated with vertices in the sub-graphs.

Abstract: Systems and methods for processing qualitative responses from a plurality of user devices whereby a selection of a next thought object, to deliver to a first user device, may be based on a plurality of qualitative responses received from a plurality of user devices. In a preferred embodiment, a thought object selection computer may compute the selection by determining a filtered set of thought objects by custom selection. In some embodiments, if the quantity of the filtered set of thought objects is greater than a pre-configured amount the selection may be computed by randomly selecting a subset of the filtered set of thought objects. Further filtering the filtered set of thought objects by determining one or more least seen thought objects, and selecting a most diverse thought object, updating the filtered set of thought objects and sending the filtered set of thought objects to the first user device.

Abstract: A method includes receiving hierarchy data indicating a capability hierarchy associated with a customer network, the capability hierarchy indicating that a first capability is a sub-capability of a second capability. The method further includes receiving application data from a MID server of the customer network, the application data associated with an application utilized by the customer network for the first capability. The method further includes determining, based on the application data, an application score indicating an effectiveness level of the application for the first capability. The method further includes determining, based on the application score, a first capability score associated with the first capability. The method further includes determining, based on the first capability score and the capability hierarchy, a second capability score of the second capability, the second capability score indicating a health metric of the second capability within the customer network.

Abstract: A computer-implemented system is configured to, responsive to failure of anonymity threshold criteria of a payment card transaction based dataset including a geographical region definition including solely a first geographical region, query a geographical information service for data indicative of geographical regions neighboring a first geographical region; iteratively query the payment card transaction based dataset using queries modifying the geographical region definition to include the first geographical region and one or more neighboring geographical regions; test returned results against the anonymity threshold criteria; and responsive to a positive test result, generating an approval indication for a data set.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: parameterizing with training data one or more model that expresses, for a set of historical activities, a known outcome as a function of a plurality of factors, the plurality of factors including one or more activity factor and a worker factor; solving the one or more model to learn by machine learning values of the worker random effect vector associated to the set of historical activities, wherein the values of the worker random effect vector provide an indication of learned worker skill level for respective workers identified by the worker identifiers; and providing, by the one or more processor, one or more output based on the solving.

Abstract: Participant-provided qualitative or comment-style responses to inquiries may be processed to generate processed responses, which may then be evaluated by participants for ranking. The processed responses may reflect groups of similar qualitative responses to, among other things, simplify and reduce the amount of data that needs to be reviewed by the participants for ranking. On the other hand, the processed responses may have a one-to-one correspondence with the qualitative responses, and the grouping of similar responses may occur after the participant ranking. Grouping after participant ranking may have the benefit of, among other things, simplifying the grouping, as only highest ranked responses may need to be grouped.

Abstract: A method includes receiving hierarchy data indicating a capability hierarchy associated with a customer network, the capability hierarchy indicating that a first capability is a sub-capability of a second capability. The method further includes receiving application data from a MID server of the customer network, the application data associated with an application utilized by the customer network for the first capability. The method further includes determining, based on the application data, an application score indicating an effectiveness level of the application for the first capability. The method further includes determining, based on the application score, a first capability score associated with the first capability. The method further includes determining, based on the first capability score and the capability hierarchy, a second capability score of the second capability, the second capability score indicating a health metric of the second capability within the customer network.

Abstract: Systems, methods, and other embodiments associated with a shortest path engine for warehouse management are described. In one embodiment, a method determines a shortest path between a first location and a second location. The method includes receiving a request for a shortest path between a first location and a second location and accessing a first data structure. The first data structure maps the first location to a first reference point and the second location to a second reference point. A shortest path between the first reference point and the second reference point is determined and the determined shortest path is returned.

Abstract: A computer-implemented method is provided for determining a net throughput time between process steps of a process instance, wherein a processor is used for determining the net throughput time of the process instance in a calendar, in which a number of time intervals is stored, which are to be considered for the determination of the net throughput times, and the processor performs a matching procedure between the time specifications stored for the process steps and the time intervals stored in the calendar, wherein subsequently to the matching procedure, a net throughput time between two process steps is calculated.

Abstract: A customer database system may store historic customer satisfaction information. A CSR terminal may facilitate an interaction between a service representative and a first customer, and a survey platform may: (i) detect that the CSR terminal is currently interacting with the first customer and that the first customer has an entry in the customer database system, and (ii) automatically trigger an analytics action at the CSR terminal. A relational database may receive solicited customer feedback information along with a structured escalation level category entered via the analytics action. The solicited customer feedback information may be parsed into unstructured text, and a big data application platform may: (i) execute an algorithm to assign a sub-category to the first customer interaction based on the unstructured parsed text, and (ii) assign the solicited customer feedback to positive, neutral, and/or negative sentiment pools.

Abstract: Embodiments are directed to managing data models for managing resource allocation. A data model portion may be provided. Allocation information based on resource allocations associated with pass-through objects that may be included in the data model portion. A memory buffer may be configured to include allocation ratio information and fixed resource value information. A reciprocal model based on the memory buffer and the data model portion may be provided. Providing the reciprocal model may include providing an effective resource value engine based on solving a linear system corresponding to the allocation ratio information and the fixed resource value information. If resource information for a pass-through object associated with the reciprocal model may be requested, the reciprocal model may be employed to provide the resource information to the data model.

Abstract: A server has a processor and a memory storing instructions executed by the processor to access scheduling tools including an entity workload profile with a work flow tasks schedule and work flow task dependencies. Processed data associated with a work flow task within the entity workload profile is identified. The work flow task dependencies are analyzed to alter the work flow tasks schedule to prioritize work flow tasks that rely upon the processed data.

Abstract: In some examples, a service provider may receive, from a buyer device, an order for an item from a merchant for delivery to a delivery location. The service provider may determine predicted courier travel times to the merchant location and from the merchant location to the delivery location, and may determine a first payment amount based on the predicted courier travel times. The service provider may further predict other courier time associated with the order, other than travel time, such as based on a courier wait time associated with the merchant. The service provider may determine a second payment amount based on the predicted courier other time. The service provider may send, to a courier device of a courier selected to deliver the order, information about the order including a payment amount for the order based on the first payment amount and the second payment amount.

Abstract: Methods and computer systems are used to create context-based event entries. In one aspect, the method includes, at a computer system with one or more processors and memory: (1) receiving a content-less request to create an event entry; (2) selecting an applicable rule from a set of rules stored at the computer system in accordance with one or more context items, the one or more context items comprising one or more context items for the user, the set of rules comprising a plurality of distinct rules; (3) creating an event entry in accordance with the selected applicable rule and at least one of the one or more context items for the user, the event entry including one or more fields having content determined in accordance with the at least one of the one or more context items for the user; and (4) providing the event entry for display.

Abstract: A salesperson may be paid commissions for products sold from the inventory of a merchant. In some examples, the commissions for different products may be determined and changed dynamically, throughout the course of a business day, in response to changing sales rates and inventory conditions. Specifically, commissions may be changed to increase the sales rates of certain products over others. As an example, it may be desired to increase the sales rates of products having relatively high inventory counts and/or that are nearing the expiration of their shelf lives. The changing commission amounts are published or advertised to the salespersons throughout the day so that the salespersons can see which products will produce the highest commissions. The commissions may be paid electronically, immediately or soon after the transactions in which the commissions were earned.