公开(公告)号：US09378250B2

公开(公告)日：2016-06-28

申请号：US13893330

申请日：2013-05-13

Applicant: XEROX CORPORATION

Inventor： Andres Quiroz Hernandez ,  Saurabh Kataria ,  David R Vandervort

IPC: G06F7/00 ,  G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30539 ,  G06F17/30398

Abstract: Systems and methods of data analytics, which in various embodiments enable business analysts to apply certain machine learning and analytics algorithms in a self-service manner by binding them to generic business questions that they can be used to answer in particular domains. The general approach may be to define the application of an algorithm to solve specific problems (questions) for particular combinations of a business domain and a data category. At design time, the algorithm may be linked to canonical data within a data category and programmed to run with this canonical data set. At runtime, given a dataset and its category, and a business domain, a user may choose from the corresponding questions and the system may run the algorithm bound to that question.

Abstract translation: 数据分析的系统和方法，其在各种实施例中使得业务分析人员能够以自助服务的方式将某些机器学习和分析算法绑定到可以用于特定域中回答的通用业务问题。 一般方法可以是定义算法的应用以解决特定的业务领域和数据类别组合的问题（问题）。 在设计时，该算法可以链接到数据类别内的规范数据，并被编程为运行该规范数据集。 在运行时，给定数据集及其类别和业务域，用户可以从相应的问题中进行选择，并且系统可以运行绑定到该问题的算法。