CREATING WORK ORDER PLANS AND STEPS BASED ON MAPPED FIELDS

    公开(公告)号:US20220414609A1

    公开(公告)日:2022-12-29

    申请号:US17360032

    申请日:2021-06-28

    摘要: Creating work order plans and steps based on mapped fields is described. A database system receives an input associated with a work order, and then identifies a work plan template object, a work plan instance object, a work step template object, and a work step instance object associated with the work order. The database system identifies work plan fields which are mapped from the work plan template object to the work plan instance object, and work step fields which are mapped from the work step template object to the work step instance object. The database system creates at least one work plan which includes the mapped work plan fields in the work plan instance object and work steps which include the mapped work step fields in the work step instance object. The database system outputs the work order which includes the at least one work plan.

    Dense subset clustering
    3.
    发明授权

    公开(公告)号:US10956450B2

    公开(公告)日:2021-03-23

    申请号:US15082267

    申请日:2016-03-28

    摘要: Some embodiments of the present invention include a method for determining a dense subset from a group of records using a graphical representation of the group of records, the graphical representation having nodes and edges, a node associated with a record from the group of records, an edge connecting two nodes associated with two related records, wherein a node is associated with a weight corresponding to a number of edges connected to the node, wherein a record is added to the dense subset based on its associated node having a highest weight and a density that satisfies a density threshold, the density being based on the content of the dense subset, and wherein the content of the dense subset is to be processed as including duplicate records.

    Generating work plans which include work steps when creating new work orders

    公开(公告)号:US11164118B1

    公开(公告)日:2021-11-02

    申请号:US16880058

    申请日:2020-05-21

    摘要: Generating work plans which include work steps when creating new work orders is described. A database system trains a machine learning model to use inputs for creating work orders to select work plan templates, which include sets of work steps, from a training set of work plan templates, in response to receiving the inputs for creating the work orders. The database system receives an input for creating a work order and identifies work plan criteria based on the input for creating the work order. The trained machine learning model uses the work plan criteria to select at least one work plan template, which includes work steps, from work plan templates. The database system creates a work order that includes work plan(s) corresponding to the selected work plan template(s) and includes at least part of the input for creating the work order. The database system outputs the created work order.

    Typeahead and autocomplete for natural language queries

    公开(公告)号:US11055353B2

    公开(公告)日:2021-07-06

    申请号:US15885430

    申请日:2018-01-31

    摘要: Embodiments are described for enabling a user to query a database using natural language and receive results without requiring the user to manipulate or know details of the database contents. The user is guided in the creation of the natural language query by suggested predetermined queries from a template. Natural language is parsed using the template. The approach allows a user's query words to be completed automatically from the template as the user inputs the words. The approach further allows the next suggested parts of the query to be automatically typed from the template ahead of the user's cursor. Other features provide feedback to the user for invalid or irrelevant queries that cannot be parsed, including suggesting complete predetermined queries from the template. The approach helps the user focus the query on exactly what the user seeks to learn from the database without complex, process-intensive parsing.

    Database schema for efficient data assessment

    公开(公告)号:US10387388B2

    公开(公告)日:2019-08-20

    申请号:US15438434

    申请日:2017-02-21

    IPC分类号: G06F17/30 G06F16/21 G06F16/22

    摘要: A computing system may create a database schema representing tables for data assessment, organization identification (ID), rule ID, data source ID, and data assessment ID. The data assessment table may include a first field representing an organization ID, a second field representing a rule ID, a third field representing a data source ID, wherein the fields correspond to a records in the organization ID table, rule ID table and data source ID table, respectively. The data assessment table may also include a fourth field representing a match status indicating whether a record in data assessment ID table matches a record of a data source associated with the third field, a fifth field representing a data assessment record ID and corresponding to a record in data assessment record ID table, and a sixth field configured as a column family and representing a field of the business object.

    SPAM FLOOD DETECTION METHODOLOGIES
    7.
    发明申请
    SPAM FLOOD DETECTION METHODOLOGIES 有权
    垃圾邮件检测方法

    公开(公告)号:US20170026267A1

    公开(公告)日:2017-01-26

    申请号:US15285094

    申请日:2016-10-04

    发明人: Dai Duong Doan

    摘要: A computer-implemented method and system are provided in which characteristics of a website are analyzed to determine whether the website represents a potential source of spam, and, in response to the analyzing, flags content of the website as spam content. To analyze the website, a total number of posts associated with the website is computed and a publication frequency for the total number of posts can then be calculated. Based on the computed total number and the calculated publication frequency, it can be determined whether the website in its entirety represents spam content. For instance, the calculated publication frequency can be compared to a threshold frequency, and when the calculated publication frequency is greater than the threshold frequency, the website in its entirety as can be identified and flagged as spam content.

    摘要翻译: 提供了一种计算机实现的方法和系统,其中分析网站的特征以确定网站是否代表潜在的垃圾邮件源,并且响应于分析,将网站的内容标记为垃圾内容。 为了分析网站,计算与该网站相关联的总数,并且可以计算出总数的出版频率。 基于计算出的总数和计算的出版频率,可以确定网站是否全部表示垃圾内容。 例如,计算的出版物频率可以与阈值频率进行比较,并且当所计算的出版物频率大于阈值频率时,整个网站可被识别并标记为垃圾内容。

    Spam flood detection methodologies
    8.
    发明授权
    Spam flood detection methodologies 有权
    垃圾邮件洪水检测方法

    公开(公告)号:US09553783B2

    公开(公告)日:2017-01-24

    申请号:US14021941

    申请日:2013-09-09

    发明人: Dai Duong Doan

    摘要: A computer-implemented method analyzes a website to determine whether the website represents a potential source of spam, and, in response to the analyzing, flags content of the website as spam content. The determination can be made by computing a total number of content items associated with the website, calculating a publication frequency of the content items, and determining whether the website in its entirety represents spam content based on the total number and the publication frequency. The determination could also be made by generating a signature of a webpage containing a content item, obtaining an occurrence count for the generated characterizing signature, and, when the obtained occurrence count is greater than a threshold count, identifying the content item as spam.

    摘要翻译: 计算机实现的方法分析网站以确定网站是否代表垃圾的潜在来源,并且响应于分析,将网站的内容标记为垃圾内容。 可以通过计算与网站相关联的内容项目的总数量,计算内容项目的发布频率,以及基于总数量和出版频率来确定网站是否全部表示垃圾内容来进行确定。 还可以通过生成包含内容项目的网页的签名,获得所生成的特征签名的发生计数,以及当所获得的发生次数大于阈值计数时,将内容项目识别为垃圾邮件来进行确定。

    SPAM FLOOD DETECTION METHODOLOGIES
    9.
    发明申请
    SPAM FLOOD DETECTION METHODOLOGIES 有权
    垃圾邮件检测方法

    公开(公告)号:US20140082182A1

    公开(公告)日:2014-03-20

    申请号:US14021941

    申请日:2013-09-09

    发明人: Dai Duong Doan

    IPC分类号: H04L12/26

    摘要: A computer-implemented method analyzes a website to determine whether the website represents a potential source of spam, and, in response to the analyzing, flags content of the website as spam content. The determination can be made by computing a total number of content items associated with the website, calculating a publication frequency of the content items, and determining whether the website in its entirety represents spam content based on the total number and the publication frequency. The determination could also be made by generating a signature of a webpage containing a content item, obtaining an occurrence count for the generated characterizing signature, and, when the obtained occurrence count is greater than a threshold count, identifying the content item as spam.

    摘要翻译: 计算机实现的方法分析网站以确定网站是否代表垃圾的潜在来源,并且响应于分析,将网站的内容标记为垃圾内容。 可以通过计算与网站相关联的内容项目的总数量,计算内容项目的发布频率,以及基于总数量和出版频率来确定网站是否全部表示垃圾内容来进行确定。 还可以通过生成包含内容项目的网页的签名,获得所生成的特征签名的发生计数,以及当所获得的发生次数大于阈值计数时,将内容项目识别为垃圾邮件来进行确定。