The system may automatically filter data according to multiple criteria. The method may be applied for the selection of a certified public accountant according to multiple criteria relevant to a particular client. The method may include receiving various criteria, requesting a plurality of target data structures, receiving various weights associated with various criteria, and then identifying which of the target data structures reflect greater or lesser correspondence to the criteria in view of the criteria weighting. The method may filter target data structures to reject target data structures lacking sufficient correspondence to the criteria and may transmit the remaining data structures to a remote selection device.

A system for managing trading orders comprises a memory operable to store a trader list that is associated with a first trader and that designates one or more other traders. The system further comprises a processor communicatively coupled to the memory and operable to receive a trading order from the first trader, wherein the trading order is for an order quantity of a first trading product. The processor is further operable to determine a first portion and a second portion of the order quantity. The processor is further operable to disclose the first portion of the order quantity to a plurality of traders. If a configurable condition is satisfied, the processor is further operable to disclose the second portion of the order quantity to one or more traders that are not designated by the trader list and to prevent the disclosure of the second portion of the order quantity to the one or more designated traders from the trader list.

A system for managing trading orders comprises a memory operable to store a trader list that is associated with a first trader and that designates one or more other traders. The system further comprises a processor communicatively coupled to the memory and operable to receive a trading order from the first trader, wherein the trading order is for an order quantity of a first trading product. The processor is further operable to determine a first portion and a second portion of the order quantity. The processor is further operable to disclose the first portion of the order quantity to a plurality of traders. If a configurable condition is satisfied, the processor is further operable to disclose the second portion of the order quantity to one or more traders that are not designated by the trader list and to prevent the disclosure of the second portion of the order quantity to the one or more designated traders from the trader list.

The system automatically selects an output data structure from among more than one output data structure generated by separate processors. For instance, the output data structures may have different performance scores, and the system and method may compute difference scores to compare the independently determined performance scores of the output data structures. Depending on the magnitude of the difference score, the output data structures can be determined to be valid or to be invalid so that further processing is performed to generate a valid output data structure. In some instances, the data structures are tax returns, and the system automatically computes a tax return, and the comparing process advantageously yields a tax return that optimizes a tax filing strategy.

A method and system for determining a set of accounting data structure (ADS) chains including a first ADS chain, a second ADS chain, a third ADS chain, and a fourth ADS chain; determining a first connection data structure (CDS); determining a second CDS; determining a set of mutually exclusive partitions including a first partition and a second partition, wherein the first partition and second partition are mutually exclusive in that no CDS links an ODS in an ADS chain associated with the first partition to an ODS in an ADS chain associated with the second partition; assigning the first partition to a first set of computational resources; and assigning the second partition to a second set of computational resources are described.

According to one aspect of the invention, health insurance claim data for a first group of individuals is obtained to generate a training corpus, including a training set of claim data and a holdout set of claim data. The first group of individuals represents enrollees of one or more first health insurance plans and the health insurance claim data represents historic insurance claim information for each individual in the first group. A Bayesian belief network (BBN) model is created by training a BBN network based on the training set of claim data using predetermined machine learning algorithms. The BBN model is validated using the holdout set of claim data. The BBN model, when having been successfully validated, is configured to identify at least one of individuals with risk for a disorder and individuals with risk who are most likely to benefit from intervention and treatment for the disorder.

The present technology is related to employing a template/macro-based order entry system. An initial order data message contains a macro that establishes the initial parameters for an order and a unique ID is associated with the template. Subsequent, and potentially smaller sized data messages contain the unique ID as well as relevant order details for placing an order. Of course, the technology described herein envisions a much broader concept of reducing message sizes to help improve overall latency and is not limited to order entry.

An electronic exchange computing system is provided that includes a computer storage system, at least one transceiver, and a processing system. The storage system stores an electronic order book. The transceiver receives data transaction requests and transmits messages of an electronic data feed. The processing system generates an identifier, which may be referred to as a transaction identifier, for received data transaction requests. The identifier may be generated in a non-sequential and increasing manner such that it is greater than previously generated identifiers. The processing system will process the data transaction request and generate an electronic data feed message based on how data transaction request is handled. The electronic data feed message is sent to client computing system and includes the generated identifier.

In one embodiment, a method includes receiving, by a payment server and from a messaging application executing on a first mobile device operated by a first user, a request to initiate a payment transaction using a payment application. The request includes a payment amount and an identifier associated with the first user. The method includes facilitating a first adjustment to a balance associated with the financial account of the first user in the data store identified based on the identifier. The method includes generating a link associated with the first adjustment and transmitting the link to the first mobile device. The method includes, upon receiving from a second user operating a messaging application, an indication that the second user has interacted with the link within the messaging application, facilitating a second adjustment of a balance of a financial account of the second user according to the payment amount.

A system and method for performing a purchase transaction using rewards points by receiving a purchase request using a financial account with associated account information, determining based on the account information that the financial account is associated with a rewards program with rewards points, and providing the option to pay for the purchase using the financial account or at least a portion of the rewards points. The purchase may be paid for using rewards points from multiple rewards programs and/or multiple financial accounts.