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    • 42. 发明申请
    • SEARCH
    • 搜索
    • WO2014053825A2
    • 2014-04-10
    • PCT/GB2013/052557
    • 2013-10-01
    • NEUTRINO CONCEPTS LTD.
    • FOODY, Patrick
    • G06F17/30
    • G06F17/3053G06F17/30333G06F17/30401G06F17/30554G06F17/30867
    • A computer system for assisting searching of a data base of a plurality of attributes, measures and content in order to answer analytical queries, the system comprising an input device for receiving word queries requesting information and/or metrics from the database a processor configured to process word queries requesting information and/or metrics from the database; and a storage memory containing a plurality of responses to word queries which responses contain and/or correspond to attributes, content and/or measures of the database, and containing one or more ordered combinations of attributes wherein the attributes of the ordered combinations are in a set order, the processor configured to match one or more words in a received word query with one or more attribute, content and/or measure in or corresponding to the stored responses, to provide relevant responses to the input word query based on the matching, and to rank the relevant responses, wherein the ranking of each relevant response is based at least partially on the position of one or more matched attributes of that relevant response within at least one ordered combination.
    • 一种用于协助搜索多个属性,度量和内容的数据库以便回答分析查询的计算机系统,该系统包括用于从数据库接收请求信息和/或度量的单词查询的输入设备,该处理器被配置为处理 从数据库请求信息和/或度量的单词查询; 以及包含对词查询的多个响应的存储存储器,所述响应包含和/或对应于数据库的属性,内容和/或度量,并且包含一个或多个有序组合的有序组合,其中有序组合的属性在 所述处理器被配置为将接收到的单词查询中的一个或多个单词与存储的响应中的一个或多个属性,内容和/或度量相匹配,以基于匹配来提供对输入单词查询的相关响应, 并且对相关响应进行排名,其中每个相关响应的排名至少部分地基于至少一个有序组合中的该相关响应的一个或多个匹配属性的位置。
    • 44. 发明申请
    • A METHOD AND A DEVICE FOR DATA ANALYSIS IN A MULTIDIMENSIONAL CUBE DATA STRUCTURE
    • 用于多维数据结构数据分析的方法和装置
    • WO2013070141A2
    • 2013-05-16
    • PCT/SE2012050854
    • 2012-07-27
    • QLIKTECH INTERNAT ABWOLGE HAAKANLINSEFORS TOBIAS
    • WOLGE HAAKANLINSEFORS TOBIAS
    • G06F17/30
    • G06F17/30333G06F3/048G06F3/04842G06F17/30312G06F17/30339G06F17/30572G06F17/30592
    • A method and a device for data analysis in a multidimensional cube data structure. In an aspect, a user interface can be generated to permit dynamic display generation to view data. The system can comprise a visualization component to dynamically generate one or more visual representations of the data to present in the state space. The method comprises processing a da- taset resulting in a first multidimensional cube data structure, the dataset having a table structure comprising one or more tables; and generating a second multidimensional cube data structure by applying one or more dimension limits to the first multidimensional cube data structure. The device comprises a memory having computer-executable instructions and a processor functionally coupled to the memory and configured, by the computer-executable instructions, to process said dataset and to apply one or more dimension limits.
    • 一种用于多维立方体数据结构中数据分析的方法和装置。 在一方面,可以生成用户界面以允许动态显示生成来查看数据。 该系统可以包括可视化组件以动态地生成呈现在状态空间中的数据的一个或多个视觉表示。 该方法包括处理导致第一多维立方体数据结构的数据集,所述数据集具有包括一个或多个表的表格结构; 以及通过对所述第一多维立方体数据结构应用一个或多个维度限制来生成第二多维立方体数据结构。 该设备包括具有计算机可执行指令的存储器和处理器,其功能地耦合到存储器并且由计算机可执行指令配置为处理所述数据集并应用一个或多个维度限制。
    • 46. 发明申请
    • RANKING DEVICE AND METHOD FOR MULTI-ATTRIBUTE DATA
    • 排名设备和多属性数据的方法
    • WO2011129522A3
    • 2011-12-08
    • PCT/KR2011001075
    • 2011-02-18
    • NAT UNIV CHUNGBUK IND ACADYOO JAE SOOJANG SU MINPARK CHOON SEO
    • YOO JAE SOOJANG SU MINPARK CHOON SEO
    • G06F17/00G06F17/30
    • G06F17/30333G06F17/3053
    • A ranking device for multi-attribute data provides: a dominance bit list generation unit for generating a dominance bit list in each datum, which indicates in bits whether there is a dominance between a plurality of data having multiple attributes (i.e., dominance is established when all attributes of first data are less than or equal to all attributes of second data, and at least one attribute of the first datum is less than one attribute of the second data); an N-level skyline extraction unit for extracting a multilevel skyline by analyzing a dominance bit list of each datum in order to extract a skyline (i.e., a skyline is a data set that is not dominated by other data) and analyzing data that excludes the extracted skyline in a plurality of data in order to extract an N-level skyline; and a Top-K preference object extraction unit for determining a priority order within the skyline data of the multilevel skyline in accordance with user preferences, then extracting as many skyline data, starting from the top of the priority order, as the number of data results that a user desire, and presenting same.
    • 用于多属性数据的排名装置提供:优势比特列表生成单元,用于在每个数据中生成优势比特列表,其以比特为单位指示在具有多个属性的多个数据之间是否存在优势(即, 第一数据的所有属性小于或等于第二数据的所有属性,并且第一数据的至少一个属性小于第二数据的一个属性); N级地平线提取单元,用于通过分析每个数据的优势比特列表来提取多层天际线,以提取天际线(即,天际线是不是由其他数据支配的数据集),并且分析不排除 提取多个数据中的天际线以提取N级天际线; 以及Top-K偏好对象提取单元,用于根据用户偏好来确定多层天际线的天际线数据内的优先顺序,然后从优先顺序的顶部开始提取多达天际线数据作为数据结果的数量 用户期望并呈现相同。
    • 47. 发明申请
    • HILBERT ORDERING OF MULTIDIMENSIONAL TUPLES WITHIN COMPUTING SYSTEMS
    • HILBERT在计算机系统内的多维导向器的订购
    • WO2008073189A3
    • 2008-09-12
    • PCT/US2007022784
    • 2007-10-29
    • COGNOS INCGROSSET ROBINHOOD DAVID
    • GROSSET ROBINHOOD DAVID
    • G06F7/00G06F17/00
    • G06F17/30327G06F17/30333
    • A system provides multidimensional tuple Hilbert ordering within a linear storage structure to enable more consistent and efficient access to stored multidimensional tuples. The database system comprises a tuple storage module that receives multidimensional data elements, where each multidimensional data element is defined by a plurality of different object types, and where each object is associated with a different dimension within a multidimensional data space. The tuple storage module further forms a respective tuple for each of the multidimensional data elements by mapping each object to an associated reference and applies a Hilbert function to the references of each of the tuples to determine a respective Hilbert ordering for each of the tuples. The system further comprises a linear data storage structure that includes a B-tree for storing the Hilbert ordering.
    • 系统提供线性存储结构内的多维元组希尔伯特排序,以便更加一致和高效地访问存储的多维元组。 数据库系统包括接收多维数据元素的元组存储模块,其中每个多维数据元素由多个不同的对象类型定义,并且其中每个对象与多维数据空间内的不同维度相关联。 元组存储模块还通过将每个对象映射到相关联的引用来形成用于每个多维数据元素的相应元组,并且将希尔伯特函数应用于每个元组的引用以确定每个元组的相应希尔伯特排序。 该系统还包括线性数据存储结构,其包括用于存储希尔伯特排序的B树。
    • 50. 发明申请
    • ONLINE SYNTHESES PROGRAMMING TECHNIQUE
    • 在线合成编程技术
    • WO01050245A2
    • 2001-07-12
    • PCT/US2000/033983
    • 2000-12-13
    • G06F7/00G06F9/00G06F17/30
    • G06F17/30333G06F2216/03Y10S707/956Y10S707/958Y10S707/99932Y10S707/99933Y10S707/99935Y10S707/99942Y10S707/99943
    • The current invention discloses methods for transforming a set of heterogeneous relations into multidimensional data cubes. A syntheses process is disclosed that dynamically and with minimal user input eliminates ambiguities in a populated hypercube. Including, ambiguities reflecting dependencies between dimensions in the hypercube as well as reflecting the need for supporting points in the cube with realistic observations. The hypercubes also support complex dimension structures, complex operations and hierarchies that are not necessary regular or of aggregation type. The methods are generic and applicable to any data warehouse design. The methods enable relational OLAP for a wider variety of data and structures than possible using current relational implementation schemas.
    • 本发明公开了将一组异构关系转换为多维数据立方体的方法。 公开了一种合成过程,动态地并且具有最小的用户输入消除了填充的超立方体中的歧义。 包括反映超立方体尺寸之间的依赖关系的模糊度,以及反映了使用现实观察在立方体中支持点的需要。 超立方体还支持不需要常规或聚合类型的复杂维度结构,复杂操作和层次结构。 这些方法是通用的,适用于任何数据仓库设计。 该方法使关系OLAP能够使用当前的关系实现模式来实现更多种类的数据和结构。