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基于抗体选择策略的克隆挖掘算法
引用本文:詹芹. 基于抗体选择策略的克隆挖掘算法[J]. 计算机工程, 2010, 36(10): 50-51
作者姓名:詹芹
作者单位:九江学院信息科学与技术学院,九江,332005
摘    要:针对如何有效地利用大量的原始数据分析现状来预测未来的问题,基于抗体选择策略提出一种克隆选择挖掘算法。通过评估抗体的支持度、可信度和亲和度,求得有效的关联规则。实验结果表明,该算法能较快地获得可理解的规则,并且具有较高的准确率。

关 键 词:数据挖掘  关联规则  抗体  克隆选择算法  克隆选择挖掘算法

Clonal Mining Algorithm Based on Antibodies Selection Strategy
ZHAN Qin. Clonal Mining Algorithm Based on Antibodies Selection Strategy[J]. Computer Engineering, 2010, 36(10): 50-51
Authors:ZHAN Qin
Affiliation:(School of Electronic and Information Enginerring, Ningbo University of Technology, Ningbo 315016)
Abstract:A lot of reverse nearest-neighbor query on uncertain objects can not answer whether the uncertain object is reverse nearest-neighbor of query object. Aiming at this problem, this paper proposes the notion of probabilistic reverse nearest neighbor query, devises a probabilistic reverse nearest neighbor query index and offers a reverse nearest neighbor query algorithm on uncertain objects based on this index.
Keywords:Dynamic Power Management(DPM)  prediction  Adaptive Learning Tree(ALT)  probability-based adaptive learning
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