首页> 外国专利> Network server equipment configuration and related methods for handling non-parametric, multi-dimensional, spatial and temporal human behavior or a wide range of technical observations

Network server equipment configuration and related methods for handling non-parametric, multi-dimensional, spatial and temporal human behavior or a wide range of technical observations

机译:网络服务器设备配置和相关方法,用于处理非参数,多维,空间和时间人类行为或广泛的技术观察

摘要

This invention generally discusses wireless devices, servers and communications networks. In particular the invention pertains to performing observations in one or more mobile terminals and processing and distributing the related data in a server side system through layered data processing activities, and conversion of non-parametric data into parameterized form through the utilization of statistical filtering and semantic data structures. It is further explained how such multi-layer, parametrized data can be utilized for predictive purposes, and how feedback loops can be built with the physical world to improve future predictions. The invention is applicable in various applications, for example in systems where precise digital profiles of users need to be built on a continuous basis, and such profiles need to be dynamically linked to one or several actions triggered by emerging characteristics in the data. The multi-layer approaches makes it possible to structure output statistics into continuous and standardized, periodic datasets, even though input data is highly unorganized, non-chronological, and sporadic. Similarly, the invention describes how the multi-layer data storage structure and chosen statistical operations make it possible to build virtually an infinite number of further aggregations and averages based on the output data streams.
机译:本发明一般地讨论无线设备,服务器和通信网络。特别地,本发明涉及在一个或多个移动终端中执行观察以及通过分层的数据处理活动在服务器侧系统中处理和分配相关数据,以及通过利用统计过滤和语义将非参数数据转换为参数化形式。数据结构。进一步说明如何将此类多层参数化数据用于预测目的,以及如何与物理世界构建反馈环以改善未来的预测。本发明可应用于各种应用中,例如在需要连续地建立用户的精确数字简档的系统中,并且这种简档需要动态地链接到由数据中新出现的特征触发的一个或几个动作。多层方法使将输出统计数据构造为连续且标准化的周期性数据集成为可能,即使输入数据是高度无序,不按时间顺序排列且不固定的。类似地,本发明描述了多层数据存储结构和所选择的统计操作如何使得基于输出数据流实际上构建无限数量的进一步的聚合和平均值成为可能。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号