Changed file identification, software conflict resolution and unwanted file removal
    2.
    发明授权
    Changed file identification, software conflict resolution and unwanted file removal 失效
    更改文件识别,软件冲突解决和不需要的文件删除

    公开(公告)号:US07765592B2

    公开(公告)日:2010-07-27

    申请号:US10830334

    申请日:2004-04-22

    IPC分类号: G06F21/00 G06F12/14

    CPC分类号: G06F9/44505 G06F8/65

    摘要: As computer programs grow more complex, extensible, and connected, it becomes increasingly difficult for users to understand what has changed on their machines and what impact those changes have. An embodiment of the invention is described via a software tool, called AskStrider, that answers those questions by correlating volatile process information with persistent-state context information and change history. AskStrider scans a system for active components, matches them against a change log to identify recently updated and hence more interesting state, and searches for context information to help users understand the changes. Several real-world cases are provided to demonstrate the effectiveness of using AskStrider to quickly identify the presence of unwanted software, to determine if a software patch is potentially breaking an application, and to detect lingering components left over from an unclean uninstallation.

    摘要翻译: 随着计算机程序变得越来越复杂,可扩展和连接,用户越来越难以了解机器上发生了什么变化,以及这些更改有什么影响。 通过称为AskStrider的软件工具来描述本发明的实施例,其通过将易失性进程信息与持久状态上下文信息和变化历史相关联来回答这些问题。 AskStrider扫描系统中的活动组件,将其与更改日志进行匹配,以识别最近更新并因此更有趣的状态,并搜索上下文信息以帮助用户了解更改。 提供了几个真实案例来证明使用AskStrider快速识别不需要的软件的存在,确定软件补丁是否潜在地破坏应用程序,以及检测从不洁净卸载中遗留的剩余部件的有效性。

    Method for creating association index for the analysis of documents classified in a hierarchical structure
    3.
    发明申请
    Method for creating association index for the analysis of documents classified in a hierarchical structure 有权
    用于创建分类为分层结构的文档分析的关联索引的方法

    公开(公告)号:US20110289040A1

    公开(公告)日:2011-11-24

    申请号:US12800648

    申请日:2010-05-20

    IPC分类号: G06F17/30 G06N5/02

    摘要: The present invention is a computer-enabled method for combining information stored in a hierarchical classification structure, such as the International Patent Classification system, with the frequency of events resulting from human decision processes in order to generate an association index for a patent classification. The association index can then be used to quickly analyze a portfolio of patents.

    摘要翻译: 本发明是将存储在诸如国际专利分类系统之类的分级分类结构中的信息与由人类决定过程产生的事件的频率进行组合的计算机能力方法,以便产生专利分类的关联索引。 然后可以将关联索引用于快速分析专利组合。