SECURE, LIMITED-ACCESS DATABASE SYSTEM AND METHOD
    2.
    发明公开
    SECURE, LIMITED-ACCESS DATABASE SYSTEM AND METHOD 审中-公开
    系统和方法对于安全的访问有限的数据库

    公开(公告)号:EP1238347A2

    公开(公告)日:2002-09-11

    申请号:EP00943344.2

    申请日:2000-06-30

    IPC分类号: G06F17/30

    摘要: A limited-access database system is designed for rapid access of data records with reduced memory storage requirements. The database system employs a set of obfuscated data records stored in data crystals that can only be accessed and read by an iterator, which is not directly accessible by the users of the database. The iterator accesses information responsive to a predefined query sent from a customer application. Rather than providing general tools to customers for constructing any possible queries, such as is done in structured query language database systems, database systems embodying the present invention allow only predefined types of queries to be used by customer applications. By restricting the types of queries customer applications can call, valuable data records remain secure from unauthorized reconstruction or duplication while still allowing limited access for specific purposes.

    ONLINE DATABASE MINING
    5.
    发明授权
    ONLINE DATABASE MINING 有权
    在线数据库开采

    公开(公告)号:EP1034489B1

    公开(公告)日:2002-12-04

    申请号:EP98945396.4

    申请日:1998-09-29

    IPC分类号: G06F17/30

    摘要: A computer method is provided of online mining of quantitative association rules which has two stages, a preprocessing stage followed by an online rule generation stage. The required computational effort is reduced by the preprocessing stage, defined by preprocessing data to organize the relationships between antecedent attributes to create a hierarchically arranged multidimensional indexing structure. The resulting structure facilitates the performance of the second stage, online processing, which involves the generation of quantitative association rules. The second stage, online rule generation, utilizes the multidimensional index structure created by the preprocessing stage by first finding the areas in the data which correspond to the rules and then uses a merging step to create a merged tree in order to carefully combine interesting regions in order to give a hierarchical representation of the rule set. The merged tree is then used in order to actually generate the rules.