84 results about "Data market" patented technology

Providing an open data marketplace may include identifying one or more data attributes from a plurality of applications registered with a shared data management system; mapping said one or more data attributes to a data model to create a first set of mapped data; augmenting said first set of mapped data with additional data imported into the shared data management system from other data locations to create an augmented set of mapped data; receiving one or more of second set of mapped data from one or more shared data management system associated respectively with one or more shared data management networks; enabling of composing a data set by combining and cleansing one or more of said first set of mapped data, said second set of mapped data, and said augmented set of mapped data; and offering said composed data set in a digital marketplace with associated pricing characteristics.

A system for maintaining accurate health data and for providing rewards to data market participants. A marketplace platform based on Blockchain technology leverages smart contracts to provide rewards to sellers of data assets that provide corrections or updates to medical data, such as provider demographics. A URL API is provided to a buyer of the data with an encrypted password that is used to access the data from the URL API.

An system for finding, presenting and selling compatible products includes: a pricing guide module, an affiliates module, a marketplace listing module, a trade-in website module, a transaction processing module, an inventory handling module, a database, and compatibility reference files. The compatibility input module is used to receive and store compatibility information for various goods. Using the input data, marketplace listing module creates products listing that are augmented with additional compatibility information. The product compatibility website module cooperates with the marketplace manager to interact with the client devices and provide compatible products. The product compatibility website module interacts with the user via a client device to input criteria and find compatible items and select them for purchase. The transaction processing module interacts with the user to process and complete the transaction by processing payment information, arranging for delivery of the purchased compatible item, and updating the inventory database. The present invention also includes a novel method for performing product compatibility searches and completing online transactions.

The invention provides a marketing analysis data market system. The marketing analysis data market system comprises a data access layer, a data extraction module, a data conversion module, a data cleaning module, a log and alarm sending module and a data downloading module, a data packet of the data access layer contains office data, external data and service data, and models of the system includes a data logic model and a data physics module. Firstly, necessity in designing the marketing data market is analyzed and ETL data processing including noise data processing, data uniformity and data quality and the like is analyzed by discussing a data integration method, and various data sources can be reorganized and processed by a data transition tool. In addition, the physics model in the data market is realized according to the physic list structure of the logic model. Finally, application prospect of the data market in the marketing analysis is expected.

A system for automatically locating and data-typing information originating from many Web pages, and then collecting that information in a database. The database is then made available via an online data marketplace which allows users from different organizations to buy and sell related data, associated advertisements, and access to the communities of end-users who may also view advertisements and make purchases.

A system for automatically locating and data-typing information originating from many Web pages, and then collecting that information in a database. The database is then made available via an online data marketplace which allows users from different organizations to buy and sell related data, associated advertisements, and access to the communities of end-users who may also view advertisements and make purchases.

An asset information management system is provided to facilitate investment information gathering, managing, trending, and sharing of information. In the preferred configuration, at least one computer system is connected to the Internet or other data source via a communications device. The communications device provides electronic data such as public data, market forecast data and parcel historical data based on search criteria. The electronic data can be combined with user information to create output charts, graphs, and reports including market trends, forecasting, and current valuations. The system also provides a function to exchange and/or compare information from two or more users toward buying real estate, selling real estate, exchanging real estate assets, or to offer advice on a valuation. Additionally, the system can be attached to a mapping system such as GIS, or satellite mapping. This invention allows investment messages or advertisements to be sent and received to an electronic device or many.

The invention provides a data processing method and device. The data processing method comprises the following steps: access processing, synchronously adding an online data record to a corresponding data table under a first catalogue of a distributed file system of a data market periodically according to set access frequency; merge processing which is independent from the access processing, periodically reading the newly added data record in the data table saved under the first catalogue, and merging with the previous data saved in the corresponding data table under a second catalogue of the distributed file system, and recording the current time as the latest update time whenever the data table under the second catalogue is updated; query processing, merging the data table under the second catalogue with the data record newly added after the latest update time when receiving a data query request, and executing the processing of the data query request on the merged data.

Systems and methods for the exchange of sensor data and its abstractions include one or more service hubs, including a first service hub. A query input is configured to receive a query that makes requests for sensor data on at least one of the one or more service hubs and receives processed sensor data as a context of at least one user of a mobile device. In response to a request for processed sensor data, the first service hub is configured to request sensor data from one or more mobile devices by sending a request to be scheduled by an application executed on the one or more mobile devices. The first service hub is further configured to process the sensor data and return the processed sensor data to at least one of the query and a higher-level service hub.

A method for a user to capture, configure, store, link, exchange, and set trading parameters (prices and other exchange values) for data drawn from the user's personal data file combined with other user generated data; including data resulting from the user's interactions with file creation software, data items generated from user interactions with electronic devices and components, and data automatically generated by electronic components and devices owned by a user. In combination, these combined data sources coupled with a personal data file form a digital persona or a “digital doppelganger” that may be traded or sold or retained as private in a data marketplace.

The invention provides a data value evaluation system and method, and the system comprises: a data obtaining module which is used for obtaining to-be-evaluated data; an index value determination module which is used for determining an index value of a value evaluation index for the to-be-evaluated data, wherein the value evaluation indexes comprise at least one index contained in any one of the following index types: an index for representing the value of the data, an index for representing data market influence factors and an index for representing market competition influence factors; and avalue evaluation module which is used for inputting the determined index value of the value evaluation index into a pre-constructed data value evaluation model to obtain an evaluation value of the to-be-evaluated data. According to the data value evaluation system, the influence of human subjective factors on the evaluation process of the data value is small, and the evaluation result of the business data can be obtained objectively and accurately.

The invention relates to a bilateral multi-attribute big data resource value evaluation and exchange method. According to the technical scheme, the method comprises: step one, a buyer and a seller split respective data sources into various data attributes according to service qualities; step two, the seller registers big data resources owned by the seller according to the data source and carries out data service publication to a data market; step three, a data exchange market matches data parameter and data exchange contracting parties; step four, after the exchange market determines data exchange participants, two sub populations of a buyer and a seller are obtained by division by using a vector evaluation genetic algorithm; step five, a fitness degree is calculated by using respective utility functions of the buyer and the seller; and step six, according to the utility functions of the buyer and the seller for bilateral multi-attribute resource exchange, a vector genetic algorithm optimized target is constructed. With the method, a data exchange prices that can be accepted by the buyer and the seller can be obtained rapidly.

The invention provides a day-ahead transaction strategy method and system based on market supply and demand and regional meteorological prediction, and the method comprises the steps: obtaining regional prediction meteorological data and station prediction meteorological data, and obtaining market supply and demand prediction data and historical power transaction data; carrying out data preprocessing; modeling the preprocessed data by adopting a multi-task learning method in deep learning to obtain a prediction model for electric power transaction market pre-judgment; inputting regional prediction meteorological data, station prediction meteorological data and market supply and demand prediction data of the D day, and predicting market pre-judgment information of power transaction of the Dday through the prediction model; and substituting the historical medium and long term average price, the electric field installed capacity, the short term prediction of the station and the market pre-judgment information into the optimization model, and solving the day-ahead 96-point power declaration and the expected strategy income. The method and system can adapt to scenes of multiple tasks,strong correlation among the tasks can be fully utilized, the prediction accuracy is improved, and the generalization ability of the model is greatly enhanced.

The invention provides a chart pushing method and device, and relates to the technical field of data processing. The method comprises the steps of obtaining the demand characteristics and data characteristics of a data market; respectively establishing association relationships between the demand characteristics and the data characteristics of the data marketplace and the chart characteristics ofthe chart; determining a chart of which the demand characteristics, the data characteristics and the chart characteristics all accord with a preset matching rule; and pushing and displaying the chart.The association relationship is established through the demand characteristics and the data characteristics of the data market and the chart characteristics of the chart, so that the data market andthe chart can be matched conveniently, and the chart most suitable for displaying the data market is determined and recommended to a user, and accordingly the data processing efficiency is improved, and the user experience is also improved.

The invention provides a data value evaluating method, and the method is characterized in that the method comprises the steps: 1), estimating the value of data from the angle of data; 2), estimating the value of the data from the angle of a data seller; 3), estimating the value of data from the angle of a data market; 4), estimating the value of data from the angle of a data buyer; 5), comprehensively estimating the value of data from four angles: data, data seller, data buyer and data market. The method provided by the invention solves a problem that there is no systematic data value evaluation index and unified data value evaluation model.

The invention discloses a system prototype of an intelligent regional first-aid medical treatment integrated data center. The framework is characterized in that data is collected from first-aid medical treatment points, and the data is extracted, purified and loaded to a regional first-aid medical treatment integrated data center; through aggregation treatment conducted on the data, a data warehouse is provided with the data; according to the types of first-aid medical treatments, the corresponding professional data is extracted from the data warehouse to form a data market; mapping is conducted on data of a knowledge base and library data of a business system through matching and logic merging to provide uniform analysis caliber and data services; the intelligent first-aid medical treatment integrated data center is built.

The invention discloses a credit asset distribution processing system and method based on a big data decision strategy. The system comprises an asset pool, an online distribution decision service module, an offline model training platform and an intelligent asset distribution data market module. Based on a traditional credit asset static distribution processing rule, a combined asset distributionstrategy of a priority weight rule and a big data model distribution processing rule is introduced, static rules and requirements of risk control, payment channels and the like of credit asset distribution are considered,and historical credit asset distribution characteristics are analyzed through big data, a credit asset prediction model is trained, future credit asset amount is deduced and predicted, each credit asset type is formed, and an intelligent distribution model strategy is formed by combining static rules with future asset prediction, so that distribution processing flexibility ofasset-fund matchmaking transaction links is improved, and asset matchmaking success efficiency, asset-fund matching degree and fund return rate are improved.

The invention provides a data resource access method. The method is applied to a distributed data market. The distributed data markets comprise a plurality of data markets, and each data market is provided with a corresponding user group. The data resource access method comprises the following steps of when a target user requests to access specified data resources in a specified data market, judging whether the target user has permission to access the specified data resource or not, wherein the user group corresponding to the specified data market is the specified user group, the specified data market comprises a plurality of data resources, and different data resources have corresponding access permissions for different users or different user groups in the specified user group; and if the target user has the authority to access the specified data resource, submitting an access command to the specified data market, so that the specified data market returns an access result to the target user. The invention further provides a data resource access system, a computer system and a computer readable storage medium.