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    • 3. 发明公开
    • SYSTEM AND METHOD FOR PERFORMING BLENDED DATA OPERATIONS
    • 用于执行混合数据操作的系统和方法
    • EP3188042A1
    • 2017-07-05
    • EP16002728.0
    • 2016-12-22
    • Business Objects Software Ltd.
    • Fung, AlfredMoosavi, AliSchmidt, ErikMosimann, DavidHan, Jung-Rung
    • G06F17/30
    • G06F17/30554G06F17/30498G06F17/30592
    • Embodiments relate to techniques for performing data blending operations across multiple different data sets comprising data structures with columns and rows. The data sets may be classified and displayed in a visualization (i.e., chart) in a client interface. Columns and rows from the blended data sets may be mapped together (i.e., linked). Updates to the visualization, including adding elements from the data sets, may trigger a data blending process on the backend server in communication with a database. The server may blend the specified data by generating a runtime artifact representing a calculation graph for the blend operation and query the database to retrieve a resulting data set. The data blending operation may comprise collapsing dimensions of a primary data set with linked dimensions of a secondary data sets into a blended column and aggregating values of measures in rows of the blended column of the resulting data structure.
    • 实施例涉及用于跨包括具有列和行的数据结构的多个不同数据集执行数据混合操作的技术。 数据集可被分类并显示在客户端界面中的可视化(即,图表)中。 来自混合数据集的列和行可以被映射在一起(即,被链接)。 对可视化的更新(包括从数据集中添加元素)可能会触发后端服务器上与数据库通信的数据混合过程。 服务器可以通过生成表示混合操作的计算图的运行时工件并查询数据库以检索结果数据集来混合指定的数据。 数据混合操作可以包括将具有辅助数据集的链接维度的主要数据集的维度折叠到混合列中,并聚集所得到的数据结构的混合列的行中的度量值。
    • 5. 发明公开
    • AUTOMATED APPROACH FOR INTEGRATING AUTOMATED FUNCTION LIBRARY FUNCTIONS AND ALGORITHMS IN PREDICTIVE ANALYTICS
    • 自动化的方法集成自动功能库函数和算法在预测分析
    • EP3035189A1
    • 2016-06-22
    • EP15003423.9
    • 2015-12-01
    • Business Objects Software Ltd.
    • Pallath, PaulO'Connell, RonanO'Brien, RobbieKalasa Ganesh Pai, GirishRoy, JayantaSingh, Satinder
    • G06F9/44G06F17/30
    • G06F8/70G06F8/33G06F8/34G06F8/36G06N5/04G06N99/005
    • The disclosure generally describes computer-implemented methods, software, and systems, including a method for generating executable components. One method includes identifying a user request to create a new function based pre-existing algorithms, the new function to be used in an application used by a user; providing a set of available algorithms from an algorithm library; receiving a selection by a user of an algorithm from the available algorithms; providing a set of available parameters associated with the selected algorithm; receiving an election by the user of one or more parameters from the set of available parameters; generating an executable component in response to receiving the selection of the algorithm and the election of the one or more parameters, the executable component performing the selected algorithm using at least the elected one or more parameters; and storing the executable component for subsequent execution in response to the requested new function.
    • 本发明基因的反弹描述的计算机实现的方法,软件和系统,包括用于产生可执行组件的方法。 一种方法包括:识别一个用户请求创建一个新的功能基于预先存在的算法,要使用的新功能上由用户使用的应用程序; 提供一组从算法库中可用的算法的; 通过从可用的算法的算法的用户接收选择; 提供一组与所选择的算法相关联的可用参数; 通过从该组可用的参数中的一个或多个参数的用户接收在选举; 响应于可执行部件产生于接收到所述算法的选择和所述一个或多个参数的选举中,可执行部件执行使用至少选出的一个或多个参数选择的算法; 和存储响应于所请求的新功能,用于后续执行的可执行部件。
    • 6. 发明公开
    • Multivariate insight discovery approach
    • Vorgehensweise zur Entdeckung von多元化Einblicken
    • EP3007078A1
    • 2016-04-13
    • EP14004373.8
    • 2014-12-22
    • Business Objects Software Ltd.
    • Moser, Flavia SilvanaMacaulay, Alexander KennedyGosper, Julian
    • G06F17/30
    • G06F17/30592G06F17/30554G06F17/30563G06F17/30572G06T11/206
    • A raw dataset including measures and dimensions is processed, by a preprocessing module, using an algorithm that produces a preprocessed dataset such that at least one type of statistical analysis of the preprocessed dataset yields equal results to the same type of statistical analysis of the raw dataset. The preprocessed dataset is then analyzed by a statistical analysis module to identify subsets of the preprocessed dataset that include a non-random structure or pattern. The analysis of the preprocessed dataset includes the at least one type of statistical analysis that produces the same results for both the preprocessed and raw datasets. The identified subsets are then ranked by a statistical ranker based on the analysis of the preprocessed dataset and a subset is selected for visualization based on the rankings. A visualization module then generates a visualization of the selected identified subset that highlights a non-random structure of the selected subset.
    • 预处理模块使用生成预处理数据集的算法来处理包括度量和尺寸的原始数据集,使得预处理数据集的至少一种类型的统计分析产生与原始数据集的相同类型的统计分析相同的结果 。 然后通过统计分析模块分析预处理数据集,以识别包括非随机结构或模式的预处理数据集的子集。 预处理数据集的分析包括对预处理数据集和原始数据集产生相同结果的至少一种类型的统计分析。 然后,基于预处理数据集的分析,所识别的子集由统计学家排序,并且基于排名选择用于可视化的子集。 然后,可视化模块生成突出显示所选子集的非随机结构的所选确定的子集的可视化。
    • 10. 发明公开
    • Method and system for specifying, preparing and using parameterized database queries
    • 用于指定的方法和系统,准备和使用参数化数据库查询
    • EP2453370A1
    • 2012-05-16
    • EP11007721.1
    • 2011-09-22
    • Business Objects Software Limited
    • Wong, Joseph
    • G06F17/30G06F21/00
    • G06F17/30389G06F17/30427
    • A representative parameterized query in a second database query language is generated from a parameterized query in first database query language. By randomly generating a query in the first database query language, translating this query into the second database query language, and then identifying locations of relevant parameters in the translated query, parameter placeholders can then be substituted at the identified locations to provide a parameterized query in the second database query language. A representative parameterized query in the second database query language can be selected by randomly generating multiple parameterized queries and applying statistical methods including Monte Carlo methods.
    • 在第二数据库中的查询语言的代表性参数化查询从在第一数据库查询语言参数化的查询生成的。 通过随机生成在第一数据库查询语言的查询,翻译该查询到第二数据库查询语言,然后在翻译后的查询识别相关的参数的位置,参数占位符然后可以在所识别的位置substituiertem在提供参数化查询 第二个数据库查询语言。 在第二数据库查询语言的代表性参数化查询可以通过随机地生成多个参数化的查询和应用统计方法,包括蒙特卡洛方法来选择。