Identification and Retrieval of Personal Records from a Statistical Data Bank
Identification and Retrieval of Personal Records from a Statistical Data Bank
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DOI：
10.1055/s-0038-1635690
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发表时间：
1975-01
影响因子：
1.7
通讯作者：
J. Schlörer
中科院分区：
文献类型：
--
作者：
J. Schlörer
从包含匿名但可通过对话评估的个人记录的统计数据库中，通过输入系统通过返回绝对频率来回答的逻辑条件，通常可以检索个人记录。首先，用户必须使用先前的知识来识别有问题的记录。真实数据的实验描述提供一些信息的量识别所需的先验知识。一旦被识别，可以通过各种技术检索记录的部分或全部。已经知道的技术的效率进行了研究。一种新的技术允许检索完整的个人记录，这是抵抗传统的输出限制。只要AND加上至少一个逻辑运算NOT和OR可用，它就变得可行。并对可能的对策进行了讨论。
From a statistical data bank containing anonymous but individual records which may be evaluated by dialogue—e.g., by entering logical conditions which the system answers by returning absolute frequencies—personal records may often be retrieved. First a user has to identify the record in question, using previous knowledge. An experiment with authentic data is described providing some information on the amount of preknowledge needed for identification. Once identified, parts or the whole of a record may be retrieved by various techniques. The efficiency of a technique already known is studied. A new technique permitting retrieval of complete personal records is described, which is resistant to conventional output restrictions. It becomes feasible as soon as AND plus at least one of the logical operations NOT and OR are available. Some possible countermeasures are discussed.