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    • 3. 发明授权
    • Predictive event tracking method
    • 预测事件跟踪方法
    • US5889993A
    • 1999-03-30
    • US730418
    • 1996-10-15
    • Thomas M. KroegerDarrell D. E. Long
    • Thomas M. KroegerDarrell D. E. Long
    • G06F12/08G06F12/12G06F17/30G06F11/00
    • G06F12/0862G06F17/30067G06F12/0866G06F12/121G06F2212/6024G06F2212/6026
    • A method of tracking events and their sequences in a computer system and predicting the probability of future events using a data structure that represents the predictive nature of the system after an initial event correlating to an object in the system. The invention reduces memory requirements and computational complexity by partitioning a trie into subtries where each subtrie represents a set of sequences of events, statically limiting the size of the partitions by limiting the number of descendants below the node defining the partition, and refreshing parts of the set of children and releasing slots occupied by particular descendants when additional space is needed. In addition, each partition can be attached to the object which it represents and moved in and out of memory with that object. In this way, data structures which would otherwise grow as large as N.sup.O and which have a computational complexity of predictions on the order of O.times.N, where N is the number of objects modeled and O is the model order, will be limited in size to N which, in turn, limits the computational complexity to order O.
    • 在计算机系统中跟踪事件及其序列的方法,并且在与系统中的对象相关联的初始事件之后使用表示系统的预测性质的数据结构来预测未来事件的概率。 本发明通过将三进制划分为子区域来减少存储器需求和计算复杂度,其中每个子代表一组事件序列,通过限制限定分区的节点下面的后代的数量来静态地限制分区的大小,并且刷新部分 当需要额外的空间时,一组儿童和释放特定后裔占领的时间段。 此外,每个分区可以附加到它所表示的对象,并与该对象一起移入和移出内存。 以这种方式,数据结构否则将增长到大于NO,并且具有关于OxN的顺序的预测的计算复杂度,其中N是建模的对象的数量,并且O是模型顺序,将被限制为N 这反过来又限制了计算复杂度。