Abstract: 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.

Abstract: A non-transitory machine-readable storage device comprising executable instructions that, when executed cause a processor to estimate a dependence vector (104), resulting in a first dependence estimate. The processor is further caused to estimate a sampling of unobserved demand (108) using the first dependence estimate to scale observed factors. The processor is further caused to output to a display device (110) information based on the first dependence estimate or the sampling.

Abstract: A method includes obtaining an estimate value generated by an estimation process and obtaining an actual value corresponding to the estimate value. The method further includes computing a metric based on a ratio of a loss function and a weighted sum of the estimate value and the actual value. The loss function includes a penalty parameter to control a relative penalty of positive and negative prediction errors.

Abstract: According to an example, a method for supplier quantity selection may include receiving a plurality of supplier offers for one or more items to be procured by a manufacturer, and determining whether the supplier offers include price uncertainty and a most favored customer (MFC) clause. Based on the determination that the supplier offers include price uncertainty and the MFC clause, the method may include evaluating the supplier offers by analyzing the price uncertainty and the MFC clause using a stochastic multi-stage model. The method may further include determining, by a processor, an allocation of all or part of each of the supplier offers to minimize purchase price of the one or more items based on the evaluation of the supplier offers.

Abstract: 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.

Abstract: 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.

Abstract: Systems, methods, and computer-readable and executable instructions are provided for selecting data paths. Selecting data paths can include creating a support data tree structure from a number of data trees within a data set. In addition, selecting data paths can include removing a number of paths from the support data tree based on a number of evaluations of each of a number of nodes within the support data tree. Furthermore, selecting data paths can include selecting a desired set of paths based on a desired number of removed paths and an associated number of evaluations of the support data tree.

Abstract: A method and associated system comprise obtaining historical auction data, determining, from the historical auction data, a first parameter that is a function of a joint bid distribution and a density function related to the joint bid distribution, selecting a bidder, obtaining a value distribution for the selected bidder, and solving an equation. The equation may include the first parameter and the selected bidder's value distribution, and not the value distribution of other bidders. The equation computes a bid value associated with the selected bidder for a given bid.

Abstract: A method performed by a processing system includes comparing contracts having different lengths using uncertainty information corresponding to a non-overlap period between the contracts and providing an output that represents a comparison between the contracts in view of the uncertainty information.

Abstract: 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.

Abstract: 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.

Abstract: A source offer and offer parameters regarding the source offer are received. Specifications for one or more of a number of conversion parameters are also received. The source offer is converted to a target offer, based on the offer parameters and the conversion parameters specified. Where the source offer is an incremental offer, the target offer is a cumulative offer. Where the source offer is a cumulative offer, the target offer is an incremental offer. In an incremental offer, when a volume reaches a volume threshold, a price decreases by a corresponding price discount for the volume above the volume threshold, but the price does not decrease for the volume below the volume threshold. In a cumulative offer, when the volume reaches at the volume threshold, the price decreases by the corresponding price discount for the volume both below and above the volume threshold.

Abstract: A system and method comprises simulating a multiple lot auction using a sequencing rule until bidding on all lots is closed, simulating the multiple lot auction using a different sequencing rule until bidding on all lots is closed, and comparing results of the simulated auctions with both sequencing rules.

Abstract: An initial external bid of an enterprise that is based on initial component bids of plural entities is received by a tool. The tool receives margin values representing margins acceptable to the entities. A new external bid is received that is different from the initial bid, and adjusted component bids of the plural entities are generated by the tool according to the new external bid and the margins of the entities.

Abstract: 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.

Abstract: An exemplary embodiment of the present invention provides a method of correcting data in a database table. The method includes processing a database table to identify an incorrect data field value of a data field in the database table. The method also includes obtaining a search keyword from the database table that corresponds with the incorrect data field value. The method also includes generating a regular expression based, at least in part, on a data field type corresponding with the incorrect data field value. The method also includes searching a secondary source using the search keyword and the regular expression to identify a target data value. The method also includes replacing the incorrect value in the database table with the target data value.

Abstract: Methods and associated apparatus comprise, among other features, organizing previously acquired auction data into a plurality of sub-samples, each sub-sample comprising bid data associated with auctions having a common number of bidders, applying an inverse bid function to at least two sub-samples, pooling results from applying the inverse bid function to form a first pool, applying a direct bid function on the first pool to generate sample bids, matching bids from at least one sub-sample to the sample bids, and pooling results from the matching with the first pool to form a second pool.

Abstract: A computer-implemented method for estimating bidder valuation. A probability that a bid of a first bidder in an auction is not greater than a first value is determined, wherein a second bidder has a valuation in the auction equal to a second value. A rate at which the probability changes is determined. The ratio of the probability to the rate of change is determined. The ratio is added to the rival bid to determine an estimate of the first bidder's valuation.

Abstract: A computer-implemented method for determining a bid for a auction. A valuation for the auction, a risk preference, and a rate of change of the risk preference are received. A joint distribution is determined based on historical auction information and at least one updated valuation for an historical auction. A density of the joint distribution is determined. The bid is determined based on the risk preference, the rate of change of the risk preference, the valuation, the joint distribution, and the density of the joint distribution.

Abstract: A method and system for selecting feedback rules for an online auction. An exemplary method may comprise controlling feedback by customizing feedback rules for an online auction substantially no earlier than entry of auction rules into an auction program by an end-user, storing the customized feedback rules for future use by the auction program, and conducting the online auction by the auction program using the feedback rules.