关联规则隐藏是隐私保护数据挖掘(privacy-preserving data mining,PPDM)的一种重要方法.针对当前的关联规则隐藏算法直接操作事务数据、I/O开销较大的缺陷,提出一种基于FP-tree快速关联规则隐藏的算法FP-DSRRC.算法首先对FP-tree的结...关联规则隐藏是隐私保护数据挖掘(privacy-preserving data mining,PPDM)的一种重要方法.针对当前的关联规则隐藏算法直接操作事务数据、I/O开销较大的缺陷,提出一种基于FP-tree快速关联规则隐藏的算法FP-DSRRC.算法首先对FP-tree的结构进行改进,增设事务编号索引并建立双向遍历结构,进而利用改进的FP-tree对事务信息进行快速处理,避免了遍历原始数据集产生的大量I/O时间;然后通过建立和维护事务索引表实现对敏感项的快速查找,并基于分簇策略对关联规则处理,以簇为单位进行敏感规则消除,同时采用规则支持度和置信度阈值区间的思想,减少了关联规则隐藏处理对原始数据集的影响;最后通过实验测试证明:相较于传统关联规则隐藏算法,FP-DSRRC算法在保证生成的数据集质量的同时,减少了50%~70%的算法执行时间,并在大规模真实数据集上有较好的可用性.展开更多
The Einstein, Podolsky, and Rosen （EPR） entanglement problem for spin ~ particles is discussed for last moment arbitrary changes in the angles between the axes of the measurements of the spin components within the ...The Einstein, Podolsky, and Rosen （EPR） entanglement problem for spin ~ particles is discussed for last moment arbitrary changes in the angles between the axes of the measurements of the spin components within the ＂metabrain＂ dream analogy paradigm for the interpretation of quantum theory. No ＂spooky＂ action at a distance is required. The ＂metabrain＂ produces a plethora of correlated streams of consciousness which are the totality of observable reality. The mental world and the observable physical world are the same. As in a dream, there are no independently existing observable objects; for an object to exist it must be observed. In this paradigm there is mutual interaction between the streams of consciousness and the ＂metabrain.＂ The non-observable ＂metabrain＂ is the source of the non-local hidden variables which produce our observations. The currents of this ＂metabrain＂ are the quantum probability amplitudes and the firing of the ＂synapses＂ result in our conscious observations. The Born probability rule for quantum calculations is derived within this paradigm and helps to resolve the EPR paradox.展开更多
文摘关联规则隐藏是隐私保护数据挖掘(privacy-preserving data mining,PPDM)的一种重要方法.针对当前的关联规则隐藏算法直接操作事务数据、I/O开销较大的缺陷,提出一种基于FP-tree快速关联规则隐藏的算法FP-DSRRC.算法首先对FP-tree的结构进行改进,增设事务编号索引并建立双向遍历结构,进而利用改进的FP-tree对事务信息进行快速处理,避免了遍历原始数据集产生的大量I/O时间;然后通过建立和维护事务索引表实现对敏感项的快速查找,并基于分簇策略对关联规则处理,以簇为单位进行敏感规则消除,同时采用规则支持度和置信度阈值区间的思想,减少了关联规则隐藏处理对原始数据集的影响;最后通过实验测试证明:相较于传统关联规则隐藏算法,FP-DSRRC算法在保证生成的数据集质量的同时,减少了50%~70%的算法执行时间,并在大规模真实数据集上有较好的可用性.
文摘The Einstein, Podolsky, and Rosen （EPR） entanglement problem for spin ~ particles is discussed for last moment arbitrary changes in the angles between the axes of the measurements of the spin components within the ＂metabrain＂ dream analogy paradigm for the interpretation of quantum theory. No ＂spooky＂ action at a distance is required. The ＂metabrain＂ produces a plethora of correlated streams of consciousness which are the totality of observable reality. The mental world and the observable physical world are the same. As in a dream, there are no independently existing observable objects; for an object to exist it must be observed. In this paradigm there is mutual interaction between the streams of consciousness and the ＂metabrain.＂ The non-observable ＂metabrain＂ is the source of the non-local hidden variables which produce our observations. The currents of this ＂metabrain＂ are the quantum probability amplitudes and the firing of the ＂synapses＂ result in our conscious observations. The Born probability rule for quantum calculations is derived within this paradigm and helps to resolve the EPR paradox.
