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    • 5. 发明申请
    • GEO-DATA SPAM FILTER
    • GEO数据垃圾邮件过滤器
    • US20120259929A1
    • 2012-10-11
    • US13084132
    • 2011-04-11
    • Krishna VitaldevaraEliot C. GillumJason D. WalterKevin H. LauGeoffrey J. Hulten
    • Krishna VitaldevaraEliot C. GillumJason D. WalterKevin H. LauGeoffrey J. Hulten
    • G06F15/16
    • H04L51/12
    • Geo-data spam filters are described. In one or more implementations, origin data and language data of a message are evaluated to establish a score for the message indicating a likelihood that the message is spam. The evaluation includes comparing the origin data and the language data to ranked lists indicating message origins and languages with which a respective message recipient interacts positively and ranked lists indicating message origins and languages with which the respective recipient interacts negatively. Interactions of the respective recipient with previously sent messages may be tracked to form these lists. Based on the score established by evaluating the origin data and the language data of the message, the message is filtered for delivery.
    • 描述了地理数据垃圾邮件过滤器。 在一个或多个实现中,消息的原始数据和语言数据被评估以建立用于指示消息是垃圾邮件的可能性的消息的分数。 该评估包括将原始数据和语言数据与排列列表进行比较,所述排序列表指示相应消息收件人与其相互作用的消息来源和语言,以及指示相应接收者与其交互的消息起源和语言的排名列表。 可以跟踪相应接收者与先前发送的消息的交互以形成这些列表。 基于通过评估消息的原始数据和语言数据建立的分数,消息被过滤以便传送。
    • 6. 发明申请
    • Relational database schema version management
    • 关系数据库模式版本管理
    • US20050198630A1
    • 2005-09-08
    • US10796613
    • 2004-03-08
    • Leela TammaKrishna Vitaldevara
    • Leela TammaKrishna Vitaldevara
    • G06F9/445
    • G06F8/65G06F17/30241G06F17/30297Y10S707/99953
    • Techniques for managing multiple versions of relational database schema data are described. Schema data associated with multiple versions of a relational database are maintained according to a database schema version management structure. Laws of set theory are applied to the structured database schema data to identify data definition language (DDL) and data manipulation language (DML) scripts that are associated with a particular version of the relational database. The identified scripts are then copied into an installation file that can be executed to create a full install of the particular version of the relational database. Similarly, laws of set theory are applied to the structured database schema data to identify DDL scripts, DML scripts, and drop scripts that are to be applied to upgrade from one version of the relational database to a newer version of the relational database.
    • 描述了管理关系数据库模式数据的多个版本的技术。 根据数据库模式版本管理结构维护与关系数据库的多个版本相关联的模式数据。 集合理论的规则被应用于结构化数据库模式数据,以识别与关系数据库的特定版本相关联的数据定义语言(DDL)和数据操作语言(DML)脚本。 然后将已识别的脚本复制到可执行的安装文件中,以创建关系数据库的特定版本的完整安装。 类似地,集合理论的法则被应用于结构化数据库模式数据,以识别要应用于从关系数据库的一个版本升级到关系数据库的较新版本的DDL脚本,DML脚本和放置脚本。
    • 9. 发明授权
    • Geo-data spam filter
    • 地理数据垃圾邮件过滤器
    • US08626856B2
    • 2014-01-07
    • US13084132
    • 2011-04-11
    • Krishna VitaldevaraEliot C. GillumJason D. WalterKevin H. LauGeoffrey J. Hulten
    • Krishna VitaldevaraEliot C. GillumJason D. WalterKevin H. LauGeoffrey J. Hulten
    • G06F15/16
    • H04L51/12
    • Geo-data spam filters are described. In one or more implementations, origin data and language data of a message are evaluated to establish a score for the message indicating a likelihood that the message is spam. The evaluation includes comparing the origin data and the language data to ranked lists indicating message origins and languages with which a respective message recipient interacts positively and ranked lists indicating message origins and languages with which the respective recipient interacts negatively. Interactions of the respective recipient with previously sent messages may be tracked to form these lists. Based message, the message is filtered for delivery. on the score established by evaluating the origin data and the language data of the
    • 描述了地理数据垃圾邮件过滤器。 在一个或多个实现中,消息的原始数据和语言数据被评估以建立用于指示消息是垃圾邮件的可能性的消息的分数。 该评估包括将原始数据和语言数据与排列列表进行比较,所述排序列表指示相应消息收件人与其相互作用的消息来源和语言,以及指示相应接收者与其交互的消息起源和语言的排名列表。 可以跟踪相应接收者与先前发送的消息的交互以形成这些列表。 基于消息,消息被过滤以进行传递。 通过评估原始数据和语言数据建立的评分