发明名称 DESCRIBING A PARADIGMATIC MEMBER OF A TASK DIRECTED COMMUNITY IN A COMPLEX HETEROGENEOUS ENVIRONMENT BASED ON NON-LINEAR ATTRIBUTES
摘要 A processor marks non-linear attributes of each member of a known cohort by marking fields associated with the non-linear attributes in a database used to store information about members of the known cohort, where the known cohort is a task directed community that has a known agenda, where each of the non-linear attributes is individually unrelated to the known agenda, and where there is no logical nexus between any of the non-linear attributes and a particular person's membership in the known cohort. The processor utilizes marked fields in the database to identify common non-linear attributes that are shared by multiple members of the known cohort, and defines a paradigmatic member of the known cohort. The processor maps and tags the paradigmatic member in the database for future retrieval.
申请公布号 US2016335573(A1) 申请公布日期 2016.11.17
申请号 US201615218169 申请日期 2016.07.25
申请人 International Business Machines Corporation 发明人 FRIEDLANDER ROBERT R.;KRAEMER JAMES R.
分类号 G06Q10/06;G06F17/30 主分类号 G06Q10/06
代理机构 代理人
主权项 1. A processor implemented method of defining a paradigmatic member of a task directed community, the computer implemented method comprising: a processor marking non-linear attributes of each member of a known cohort by marking fields associated with the non-linear attributes in a database used to store information about members of the known cohort, wherein the known cohort is a task directed community that has a known agenda, wherein each of the non-linear attributes is individually unrelated to the known agenda, and wherein there is no logical nexus between any of the non-linear attributes and a particular person's membership in the known cohort; the processor utilizing marked fields in the database to identify common non-linear attributes that are shared by multiple members of the known cohort; the processor defining a paradigmatic member of the known cohort based on the common non-linear attributes of the members of the known cohort and at least one constraint on the known cohort; the processor mapping the paradigmatic member of the known cohort to the common non-linear attributes of the members of the known cohort and said at least one constraint on the known cohort for storage of same; and the processor tagging the paradigmatic member in the database for future retrieval.
地址 Armonk NY US