摘要:
Using a computer, a database comprising a field is identified. A query relating to the field is identified. Prior to processing the query, the field is dynamically altered to conform to a desired bit size. The query is processed. The results of the query are returned.
摘要:
Systems and methods are presented that may involve specifying an availability condition associated with a data hierarchy in a database. It may also involve storing the availability condition in a matrix and using the matrix to determine access to data in the data hierarchy. In embodiments, the data hierarchy may be a flexible data hierarchy wherein a selected dimension of data within the hierarchy may be held temporarily fixed while flexibly accessing other dimensions of the data. In embodiments, the process may further involve specifying an availability condition, wherein the specification of the availability condition does not require modification of the datum or restatement of the database.
摘要:
Systems and methods are presented that may involve storing a core information matrix in a partition within a partitioned database, wherein the partition is associated with a data characteristic. It may also involve associating a master processing node with a plurality of slave nodes, wherein each of the plurality of slave nodes is associated with a partition of the partitioned database. It may also involve submitting a query to the master processing node, wherein the query relates to a projection. It may also involve assigning analytic processing to at least one of the plurality of slave nodes by the master processing node, wherein the assignment is based at least in part on the partition association. It may also involve processing the projection-related query by the assigned slave node, wherein the analysis produces a partial projection result at the assigned slave node.
摘要:
A general technique using semantic analysis is provided that can be used for converting a specific automation test script (and its underlying test case), generated from generally available or proprietary test automation tools, into an abstract test case representation. The abstract test case representation is based on a test case representation model that includes application states (state information), external interaction sequences (control flow information) and input data. The abstract representation in essence provides a platform independent representation of test cases. An application object model provides the representational capabilities required for capturing structural and behavioral properties of the application under test. The abstract test case representation can be validated against and further enriched by specific object information from an application metadata repository. Finally, object information and input data can be separated from control flow information to provide automatic parameterization of the test script.
摘要:
A general rule-based technique is provided for generating a test case from an abstract internal test case representation. The abstract internal test case representation is based on a test case representation model that includes application states (state information), external interaction sequences (control flow information) and input data. The abstract representation in essence provides a platform independent representation of test cases. An application object model provides the representational capabilities required for capturing structural and behavioral properties of the application under test. Rules can be specified to define which application states (state information), external interaction sequences (control information) and input data sets should be used in the generation of the test case. A technique based on platform mapping is provided to convert a test case into an automation test script for any specific test script execution environment for any specific application platform.
摘要:
The present invention provides a method for updating data sources. The method may include identifying a plurality of data sources, identifying a plurality of overlapping attribute segments to use for comparing the data sources, calculating a factor as a function of each of the plurality of overlapping attribute segments, and using the factors to update a first group of values in the second data source to reduce bias. Further, at least a first data source is more accurate than a second data source.
摘要:
The methods and systems disclosed herein include an analytic platform, with a customized retailer portal application, that may be used to perform data projection and release methodologies in order to create an integrated, flexible, actionable view of data such as data relating to consumers, consumer behavior, commodity sales, and other commercial activities like those pertaining to relationships between consumers and stores.
摘要:
The methods and systems disclosed herein include an analytic platform, with a data visualization application, that may be used to perform data fusion methodologies in order to create an integrated, actionable view of consumers, consumer behavior, commodity sales, and other commercial activities, such as the relationship between consumers and stores.
摘要:
A method for reading the altered data field in accordance with the field alteration data is provided. The method may include altering a data field characteristic of a data field in a data table, saving the field alteration datum associated with the alteration in a data storage facility, submitting a query requiring the use of the data field in the dataset and reading the altered data field in accordance with the field alteration data. The alteration may generate a field alteration datum and a component of the query may consist of reading the field alteration data.
摘要:
In embodiments of the present invention, a method is described for reducing bias by data fusion of a household panel data and a loyalty card data. In embodiments, a method is provided for receiving a consumer panel dataset in a data fusion facility, receiving a consumer point-of-sale dataset in a data fusion facility, receiving a dimension dataset in a data fusion facility, fusing the datasets received in the data fusion facility into a new panel dataset based at least in part on an encryption key, estimating a consumer behavior using a first model based on the consumer panel dataset, estimating a consumer behavior using a second model based only on those consumers present in both the consumer panel dataset and the consumer point-of-sale dataset, and refining the first model based at least on the results of the second model.