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    • 5. 发明申请
    • MOBILE APPLICATION MIGRATION SERVICE
    • 移动应用移动服务
    • US20120117558A1
    • 2012-05-10
    • US12939429
    • 2010-11-04
    • Joseph FuttyMatthew Graham DyorDanny LangeMiller T. Abel
    • Joseph FuttyMatthew Graham DyorDanny LangeMiller T. Abel
    • G06F9/445
    • G06F9/44505G06F8/61
    • A mobile application migration service is usable to receive recommendations for replacement and/or alternative mobile applications for potential mobile device upgrades. Additionally, the service may be usable to compare legacy mobile applications to potential target mobile applications and simulate operation of selected target applications on a new target device. Further, a service may be usable to provide one-click purchase of one or more target applications, one-click installation of the selected target applications, and/or one-click migration of associated user and/or application data from a legacy device to a new device. Such recommendations, comparisons, simulations, and one-click migrations may be used to facilitate migration from one mobile device to another, even when legacy devices are customized with highly useful and/or often used applications.
    • 移动应用迁移服务可用于接收针对潜在移动设备升级的替换和/或替代移动应用的建议。 此外,该服务可以用于将传统移动应用与潜在的目标移动应用进行比较,并且模拟所选择的目标应用在新的目标设备上的操作。 此外,服务可以用于提供一次性购买一个或多个目标应用程序,一键安装所选择的目标应用程序,和/或一次性将相关用户和/或应用程序数据从遗留设备迁移到 一个新的设备。 这样的建议,比较,模拟和一键迁移可以用于促进从一个移动设备迁移到另一个移动设备,即使传统设备被定制为非常有用和/或经常使用的应用程序。
    • 10. 发明申请
    • IDENTIFYING OUTLIERS IN A LARGE SET OF OBJECTS
    • 在大型对象中识别出来的人
    • US20130346466A1
    • 2013-12-26
    • US13530140
    • 2012-06-22
    • Xiong ZhangHung-chih YangDanny Lange
    • Xiong ZhangHung-chih YangDanny Lange
    • G06F15/16
    • G06F16/35
    • Described herein are various technologies pertaining to identifying global outlier candidates from a relatively large collection of computer-readable objects in a distributed computing environment. The collection of computer-readable objects is partitioned into a plurality of sets of objects, and local outlier candidates are identified from each set of objects in the plurality of sets of objects. The local outlier candidates are updated through a hierarchical pairwise similarity analysis until global outlier candidates are identified. Thereafter, a pairwise similarity analysis is undertaken with respect to the global outlier candidates and the sets of objects in the plurality of sets of objects to identify true global outliers.
    • 这里描述的是关于从分布式计算环境中的相对较大的计算机可读对象集合中识别全局异常值候选的各种技术。 计算机可读对象的集合被分割成多组对象,并且从多组对象中的每组对象中识别局部离群候选。 通过分层成对相似性分析更新本地离群候选者,直到识别全球离群候选者。 此后,对于全局异常值候选和多组对象中的对象集合进行成对相似性分析,以识别真正的全局异常值。