Abstract: The present invention provides a visualization method based on quartile graph display data, the method comprising: the step of defining a data grid (Gx) and determining the display scale of the X axis; the steps of data source configuration, scanning, and reading; the step of analyzing stored data and correcting the X axis to display the scale, and calculating the quartile of the data in each data grid (Gx) of each scale level; the step of using a quartile graph to display the data. By means of defining a data grid (Gx) to store data, the four display scales of the X axis being interchangeable, and using a quartile graph to display data, the present invention displays the distribution of two-dimensional data in extremely large-volume data or big data environments, and provides interactive functionality. The present invention also provides a visualization system based on quartile graph display data.

Abstract: A data quality measurement method based on a scatter plot, the method comprising: defining a data grid (Gxy) and fitting a plurality of trend lines; using a scatter plot to display data and according to actual trends, selecting a trend line and displaying same; generating data quality rules according to the determined trend line type and parameters; selecting appropriate data quality rules and measuring data quality according to a threshold. By means of defining the data grid (Gxy) to store data, using a scatter plot to display data, and generating data quality rules according to the determined trend line type and parameters, and further setting a threshold according to said rules and measuring data quality, applications such as display of data, analysis of abnormal data, and data error correction can be performed for enormous amounts of data. Another embodiment provides a data quality measurement system based on a scatter plot.

Abstract: Provided is a method for mining a data regular expression. The method comprises: obtaining data to be stored, and storing the data by using a dictionary tree structure; performing a node upgrade according to a regular expression rule; separately performing branch combination according to the number of subnodes having a same character; identifying an interfering branch, and performing branch deletion; and converting a rule tree to be in a character string format and outputting it. Obtained data is stored in a dictionary tree structure, so that mass data can be mined, data nodes are upgraded, branches are combined, an interfering branch is deleted, and finally, a generated rule tree is converted to be in a character string format for outputting, so as to mine a regular expression of mass data comprising erroneous data, and the rule tree can meet the requirement for mining the erroneous data and can be used to check data and find erroneous data thereof.

Abstract: The present invention provides a visualization method based on quartile graph display data, the method comprising: the step of defining a data grid (Gx) and determining the display scale of the X axis; the steps of data source configuration, scanning, and reading; the step of analyzing stored data and correcting the X axis to display the scale, and calculating the quartile of the data in each data grid (Gx) of each scale level; the step of using a quartile graph to display the data. By means of defining a data grid (Gx) to store data, the four display scales of the X axis being interchangeable, and using a quartile graph to display data, the present invention displays the distribution of two-dimensional data in extremely large-volume data or big data environments, and provides interactive functionality. The present invention also provides a visualization system based on quartile graph display data.

Abstract: The present invention provides a data quality measurement method based on a quartile graph, the method comprising: defining a data grid (Gx) and fitting a plurality of trend lines; scanning a data source and storing, and according to actual trends of the data, selecting a trend line and displaying data; generating data quality rules according to the determined trend line type and parameters; selecting appropriate data quality rules and measuring data quality according to a threshold. By means of defining a data grid (Gx) to store data, using a quartile graph to display data, and generating data quality rules according to the determined trend line type and parameters, and further setting a threshold according to said rules and measuring data quality, the present invention performs, for enormous amounts of data, applications such as display of data, analysis of abnormal data, and data error correction.

Abstract: A data processing method comprises: an Adobe Flex acquiring a user drawing command, the drawing command comprising an initial end serial number and a termination end serial number; the Adobe Flex searching for drawing data in a buffer according to the initial end serial number and the termination end serial number; when some drawing data corresponding to the initial end serial number and the termination end serial number is only found, the Adobe Flex sending a data acquisition request to java swing by using javascript, the data acquisition request comprising an initial end serial number and a termination end serial number corresponding to drawing data that are not found; and the java swing returning the corresponding drawing data to the Adobe Flex according to the initial end serial number and the termination end serial number corresponding to the drawing data that are not found. Also provided is a corresponding data processing system.

Abstract: A data processing method comprises: an Adobe Flex acquiring a user drawing command, the drawing command comprising an initial end serial number and a termination end serial number; the Adobe Flex searching for drawing data in a buffer according to the initial end serial number and the termination end serial number; when some drawing data corresponding to the initial end serial number and the termination end serial number is only found, the Adobe Flex sending a data acquisition request to java swing by using javascript, the data acquisition request comprising an initial end serial number and a termination end serial number corresponding to drawing data that are not found; and the java swing returning the corresponding drawing data to the Adobe Flex according to the initial end serial number and the termination end serial number corresponding to the drawing data that are not found. Also provided is a corresponding data processing system.

Abstract: Methods and apparatus are provided for detecting data inconsistencies. Methods are disclosed for determining whether a set of conditional functional dependencies are consistent; determining a minimal cover of a set of conditional functional dependencies and detecting a violation of one or more conditional functional dependencies in a set of conditional functional dependencies. The conditional functional dependencies comprise one or more constraints that data in a database must satisfy including at least one pattern with data values.

Abstract: Methods and apparatus are provided for detecting data inconsistencies. Methods are disclosed for determining whether a set of conditional functional dependencies are consistent; determining a minimal cover of a set of conditional functional dependencies and detecting a violation of one or more conditional functional dependencies in a set of conditional functional dependencies. The conditional functional dependencies comprise one or more constraints that data in a database must satisfy including at least one pattern with data values.

Abstract: Methods and apparatus are provided for rewriting view queries into equivalent queries on the source document. According to one aspect of the invention, methods are provided for processing a view query on a database view. The method comprises the steps of translating the view query to a mixed finite state automata representation of a document query on one or more documents underlying the database view; and evaluating the document query on the one or more documents to obtain a result to the view query. The view query may be, for example, a regular XPath query.