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 |
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代理人 |
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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 |