发明名称 OPERATIONAL DATA RATIONALIZATION
摘要 An approach is provided for rationalizing operational data. A current data profile of a current dataset utilized by a current data transaction is determined. Persisted knowledge of previous data transactions is determined to include a previous data profile of a previous dataset that matches the current data profile. If the persisted knowledge indicates that data size and shape corrections were applied to the previous dataset, filtering corrections of the current dataset based on the data size and shape corrections are determined, the persisted knowledge is rationalized based on the filtering corrections, and queries of the current transaction are modified based on the filtering corrections, or if the data size and shape corrections were not applied to the previous dataset, the persisted knowledge is rationalized based on the data profile match and the queries of the current transaction are modified based on the rationalized persisted knowledge.
申请公布号 US2016196510(A1) 申请公布日期 2016.07.07
申请号 US201514590261 申请日期 2015.01.06
申请人 INTERNATIONAL BUSINESS MACHINES CORPORATION 发明人 Kanamatareddy Ravi Kumar Reddy;Satapathy Siba P.
分类号 G06Q10/06;G06F17/30;G06N5/02 主分类号 G06Q10/06
代理机构 代理人
主权项 1. A method of rationalizing operational data, the method comprising the steps of: a computer determining a current data profile of a current dataset being utilized in a current data transaction of a business; the computer determining persisted knowledge of a plurality of previous data transactions of the business stored in a data repository includes a previous data profile that matches the current data profile, the previous data profile being a data profile of a previous dataset utilized in a previous data transaction included in the plurality of previous data transactions; based on the persisted knowledge including the previous data profile that matches the current data profile, the computer determining whether the persisted knowledge includes an indication that data size correction and data shape correction were applied to the previous dataset; and if the data size correction and data shape correction were applied to the previous dataset, the computer determining filtering corrections of the current dataset based on the retrieved data size correction and data shape correction, rationalizing the persisted knowledge based on the filtering corrections and the previous data profile matching the current data profile, and modifying queries of the current transaction based on the filtering corrections, or if the data size correction and data shape correction were not applied to the previous dataset, the computer rationalizing the persisted knowledge based on the previous data profile matching the current data profile and modifying the queries of the current transaction based on the rationalized persisted knowledge.
地址 Armonk NY US