Abstract: An example computing device includes program instructions that, when executed by one or more processors, cause the computing device to perform functions including receiving user-input financial data corresponding to a user and receiving user-input behavioral data corresponding to the user. The functions also include, based on the financial data and the behavioral data, determining a Wager Score™ for the user, where the Wager Score™ represents an estimate of financial risk of the user. The functions also include, based on the Wager Score™, determining a customized gaming rebate allocation corresponding to the financial risk of the user, where the customized gaming rebate allocation designates one or more recipients, other than the user, for a gaming rebate assigned to the user. The functions also include receiving the gaming rebate and, after receiving the gaming rebate, distributing the gaming rebate to the one or more recipients according to the customized gaming rebate allocation.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices. The data subscription unit is in communication with a virtual machine that includes backtesting utility configured to generate backtesting data using one or more statistical models and one or more non-statistical models. The backtesting utility may translate the backtesting results into one or more interactive visuals, and generate a graphical user interface (GUI) for displaying the backtesting results and the one or more interactive visuals on a user device. The backtesting utility may update one or more of the displayed backtesting results and the one or more interactive visuals without re-running the modeling steps.

Abstract: The present disclosure discloses methods and systems for managing data in a database in accordance with a data model, henceforth referred to as a “timeline store” or “timeline model”. The method includes mapping each data reference of one or more data references with a data value of a block of data in a data store. Then, each key reference of one or more key references is mapped with at least one pair of a time reference and the data reference in a timeline store, the time reference determines a point in time at which the key reference is assigned the pair of the time reference and the data reference. Thereafter, the data model is queried to retrieve a set of key references mapped to data references based on a specific ranges of keys and time or time intervals. Finally, the data model is queried to retrieve the raw data bytes associated/mapped with/to any desired data reference.

Abstract: Systems and methods for improved data conversion and distribution are provided. A data subscription unit is configured to receive data and information from a plurality of data source devices in a plurality of data formats. The data subscription unit is in communication with a virtual machine configured to generate projected data for sparse electronic data. The virtual machine and a data distribution device distribute the projected data to remote user devices.

Abstract: An exemplary aspect comprises a computer system having one or more processors, comprising: a receiving component that receives valuation data for a security; a filtering component that filters the received valuation data to remove outlier values according to a predetermined set of parameters; a transaction cost adjustment component calculates a transaction cost adjustment coefficient based on a first transaction cost adjustment regression calculation of the processed valuation data, and determines a final transaction cost adjustment value based on the transaction cost adjustment coefficient; a market adjustment component that calculates a market adjustment coefficient based on a first market adjustment regression calculation of the processed valuation data, and determines a final market adjustment value based on the market adjustment coefficient; and an output component that outputs a pricing estimation of the security based on the final transaction cost adjustment value and the final market adjustment value.

Abstract: Systems and methods for data conversion and distribution. A data collection system receives data from plural data sources; extracts data values for each data source from the data; classifies each extracted value among categories; and stores each extracted value in a database according to a data mapping based on a category index, such that the extracted value is stored according to the associated category index. A data performance system retrieves, for each category, data values associated with the category and a predetermined period, by querying the database based on the category index; and runs, for each category, the retrieved data through statistical algorithms, to generate data performance metrics representative of the data from all of the data sources. A data distribution system generates a predictive performance metric for further data based on a comparison between the further data and the data performance metrics for at least one category.

Abstract: Approaches for facilitating queries of a topic-based-source-specific search system are disclosed. In certain implementations, an input relating to a query may be received. Suggested ones of predefined sources and suggested ones of information items of the predefined sources may be determined based on the input. A set of suggestions including a group of suggestions relating to the suggested sources and a group of suggestions relating to the suggested information items may be provided for presentation on a user interface. In some implementations, metadata that indicates first, second, or other attributes relating to the predefined sources or the information items may be stored in association with the predefined sources or the information items. A second input relating to the query may be received responsive to providing the set of suggestions. A presentation of a comparison between the first attribute and the second attribute may be provided based on the second input.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: Approaches for facilitating queries of a topic-based-source-specific search system are disclosed. In certain implementations, an input relating to a query may be received. Suggested ones of predefined sources and suggested ones of information items of the predefined sources may be determined based on the input. A set of suggestions including a group of suggestions relating to the suggested sources and a group of suggestions relating to the suggested information items may be provided for presentation on a user interface. In some implementations, metadata that indicates first, second, or other attributes relating to the predefined sources or the information items may be stored in association with the predefined sources or the information items. A second input relating to the query may be received responsive to providing the set of suggestions. A presentation of a comparison between the first attribute and the second attribute may be provided based on the second input.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: The present disclosure provides a method for forming a fault-tolerant federated distributed database system, wherein the federated distributed database system includes a plurality of globally distributed local agreement groups, each globally distributed local agreement group including a plurality of computing nodes. The method includes storing data in each computing node in accordance with a temporal data model, a block corresponding to the temporal data model storing one or more keys, and time value and data reference value corresponding to each key, wherein the time value determines a point in time at which corresponding key is assigned corresponding data reference value. Then, for each globally distributed local agreement group, one or more blocks of corresponding computing nodes are updated, by updating state of corresponding one or more keys simultaneously using a local agreement algorithm.

Abstract: The present disclosure discloses a method for retrieval of similar images from a database. For a plurality of input images, each input image is disintegrated into a plurality of image patches of one or more predefined pixel sizes. A representation of each image patch is computed using a dimensional reduction method and distances between the representations of each image patch are compared. Further, the representations of each image patch into addressable hyper-cubes are quantized, wherein an address of a hyper-cube is determined by content of corresponding image patch. Then, each image patch is stored using corresponding address as a key into the database. Later, for a target image patch, a set of similar image patches is retrieved from the database using the key.

Abstract: Provided herein are devices, systems, methods and various means, including those related to providing a community internet drive that may utilize a centrally-managed hub as well as storage devices distributed among various networked machines. In some embodiments, the community internet drive can also include features to enable its users to promote and utilize the user's trusted personal relationships while also enabling an open platform for peer-to-peer and/or other types of sharing schemes.

Abstract: The present disclosure discloses a method of storing data in a distributed data storage system, the distributed data storage system including a plurality of server and client nodes. The method includes receiving unencrypted data from a client node for storing at a server node. The received data is split into one or more data chunks of one or more sizes. Further, each data chunk is encrypted using a key based on the content of corresponding data chunk, and each encrypted chunk is stored at a memory of a server node using a unique data reference. Furthermore, an index chunk is formed that contains one or more data references of one or more encrypted chunks in a predefined order, along with one or more corresponding encryption keys of one or more encrypted chunks, which after being encrypted and stored, the corresponding data reference of this encrypted index chunk is provided to the client node.

Abstract: Systems for data compression using content estimation. In one aspect, a system includes a dictionary encoder and one or more additional data compression encoders. One or more processors are configured to determine compression statistics related to a first data block, estimate a size of a first compressed data block, estimate a size of a second compressed data block, compare the estimated sizes, compress the first data block using the dictionary encoder when the estimated size of the first compressed data block is smaller than the estimated size of the second compressed data block, and compress the first data block using the additional data compression encoder when the estimated size of the second compressed data block is smaller than the estimated size of the first compressed data block.

Abstract: The present disclosure provides methods and systems for storing and accessing data in a distributed data storage system. The distributed data storage system includes a plurality of data storage nodes. The method includes receiving a data storing request. Then, a pseudo-random sequence of data storage nodes of the plurality of data storage nodes is generated, wherein the pseudo-random sequence is not sequential from any starting position and each data storage node of the pseudo-random sequence of data storage nodes is determined using a pre-determined pseudo-random function that is a function of a data reference. Finally, a data is stored into at least one data storage node of the pseudo-random sequence of data storage nodes based on a pre-defined selection criteria. The distributed data storage system includes an access server configured to store into and access data from at least one data storage node of data storage nodes.

Abstract: The transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency. Broadcast data may include packets having fields. Encoders associated with particular fields may be selected to compress those particular fields.

Abstract: Data compression using a combination of content independent data compression and content dependent data compression. In one aspect, a system for compressing data comprises: a processor, and a plurality of data compression encoders wherein at least one data encoder utilizes asymmetric data compression. The processor is configured to determine one or more parameters, attributes, or values of the data within at least a portion of a data block containing either video or audio data, to select one or more data compression encoders from the plurality of data compression encoders based upon the determined one or more parameters, attributes, or values of the data and a throughput of a communications channel, and to perform data compression with the selected one or more data compression encoders on at least the portion of the data block.

Abstract: Systems and methods for providing accelerated data storage and retrieval utilizing lossless data compression and decompression. A data storage accelerator includes one or a plurality of high speed data compression encoders that are configured to compress data. The compressed data is subsequently stored in a target memory or other storage device whose input data storage bandwidth is lower than the original input data stream bandwidth. Similarly, a data retrieval accelerator includes one or a plurality of high speed data decompression decoders that are configured to decompress data at a rate equivalent to or faster than the input data stream from the target memory or storage device. The decompressed data is then output at rate data that is greater than the output rate from the target memory or data storage device.

Abstract: Systems and methods for providing accelerated transmission of broadcast data, such as financial data and news feeds, over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency associated with data transmission of conventional systems.