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AAccurancyBagging,366-367Boosting,367-370Classification,288,290classifiermeasures,360-362CrossMine,580Evaluation,363-366Increasing,366-370predicatormeasures,362-364prediction,290Adaboost,368-369AdaptiveProbabilisticNetworks,318adhocdatamining,37agglomerativehierarchicalclustering,408-411aggregatemeasures,474aggregationcomplexdatatypesand,198-199datacube,73-75defined,70multiwayarray,164on-line,145simultaneous,165spatial,594tiltedtimeframeslots,478AGMalgorithm,538algebraicmeasure,51-52,120algorithmsassociativeclassification,322distributed,38genetic,351,374incremental,38parallel,38partitioning,401randomized,472-473alignmentbiologicalsequence,514-518defined,514multiplesequence,514,517-518pairwise,514,515-516alternativehypotheses,452alternativesubstructurepatterns,547-548aminoacids,654analyticalprocessing,146准确率装袋提升分类分类器度量评估提高预测器度量预测自适应概率网络特定的数据挖掘凝聚层次聚类聚集度量聚集复杂的数据类型数据立方体定义多路数组联机同时的空间的倾斜时间框架槽AGM算法代数度量算法关联分类分布的遗传的增量的并行的划分的随机的比对生物学序列定义多序列逐对备择假设其他子结构模式氨基酸分析处理anomalydetection,659anonymousdatabases,680ANOVA,666-667antiminitinicconstrains,,164,269-270apexcuboids,1,74-75,114,138applications,649-660biologicaldataanalysis,654-657domain-specific,684exploration,681financialdataanalysis,649-651intrusiondetection,658-660retailindustry,651-652scientific,657-658telecommunicationsindustry,652-653approximatefrequentsubstructures,549approximatequeryanswering,474approximation,594Apriori,273algorithmillustration,239defined,234-235dynamicitemsetcounting,242efficiency,240-242improving,240-242example,236-238infrequentitemsetmining,234-239hash-basedtechnique,240-241joinstep,235,238level-wisesearch,235partitioning,241property,235,253prunestep,235-236,238pruningmethod,163sampling,241-242transactionreductiontechnique,241Apriori-basedsubgraphmining,537-539AGMalgorithm,538AprioriGraph,537,538BFSstrategy,539edge-disjointpath,539framework,537FSGalgorithm,538-539Overhead,539AprioriGraph,537,538architectures异常检测匿名数据库单因素方差分析反单调约束顶点方体应用生物学数据分析特定领域的探测金融数据分析入侵检测零售业科学的电讯业近似的频繁子结构近似的查询回答近似算法说明定义动态项集计数有效性提高/改进例子频繁项集挖掘基于散列的技术连接步逐层搜索划分性质剪枝步剪枝方法抽样事物归约技术基于Apriori的子图挖掘AGM算法BFS策略边不相交路径框架FSG算法开销系统结构datawarehouse,127-137defined,39OLAM,148-150OLEDBforDataMining,692three-tier,130-133,151ARIMA,493,667arithmeticmeansassociationanalysis,23-24association-basedclassification,627associationrulesBoolean,233classificationbyanalysis,344-347clustering,258-259confidence,229correlation,233defined,229generating,239-240fromfrequenceitemsets,239-240hybrid-dimensional,255interdimensional,255interestingness,229intradimensional,254metarule-guidedmining,266-267mining,250-259,272multidimensional,24,233,254-257multilevel,233,250-254,273multimediadata,612-613periodic,513quantitative,233,250,257-259,274single-dimensional,23,233,254spatial,605-606strong,231,260,272support,229support-confidenceframework,259visualization,671associativeclassification,344-347,374algorithms,322CBA,345-346CMAR,346-347CPAR,347frequentitemsetminingversus,345asymmetricbinarydissmilarity,390-391asymmetricbinarysimilarity,391atomicmatching,497数据仓库定义用于数据挖掘的OLEDB三层自动回归的综合移动平均算术均值关联分析基于关联的分类关联规则布尔的分析的分类聚类置信度相关定义产生由频繁项集混合维的维间的兴趣度维内的元规则制导挖掘挖掘多维多层多媒体数据周期的量化的单维的空间的强的支持度支持度-置信度框架可视化关联分类算法频繁项集挖掘与非对称的二元相异度非对称的二元相似度原子匹配attribute-orientedinduction,198-218,219algorithm,205concept,199fordatacharacterization,199-204defined,199example,203-204implementation,205-206techniques,219attributescategorical,94classlabel,286complexstructure-valued,593construction,71,72continuous-valued,302defined,10evaluationmeasures,75-76generalization,202grouping,193list-valued,593multirelational,580partialordering,94partialset,96predicted,288quantitative,255,256-257redundancy,68-69removal,201sets,95set-valued,592-593attributeselectionmeasures,296-304CHAID,304defined,296gainratio,301Giniindex,302-304Informationgain,297-300MDL,304,306multivariatesplits,304attributesubsetselection,75-76,289decisiontreeinduction,76,77defined,49,73,75forwardselection/backwardeliminationcombination,76greedymethods,75,76stepwisebackwardelimination,76stepwiseforwardselection,76面向属性的归纳算法概念数据特征化定义例子实现技术属性分类的类标号复杂结构值的构造连续值的定义评估度量泛化分组列表值的多关系的偏序部分集合预测定量的冗余删除集合集合值的属性选择度量定义增益率Gini指标信息增益多元分裂属性子集选择决策树归纳定义向前选择和向后删除的结合贪心方法逐步向后删除逐步向前选择audiodatamining,613-614,670authoritativeWebpages,631-637analysis,20-21authorityweight,633block-levellinkanalysis,636block-to-agerelationship,636defined,631HITS,633,634identifying,631-637page-to-blockrelationships,636autocorrelationanalysis,491automatedWebpageclusteringandclassification,21AVC-groups,309AVC-sets,309average,183,184,474Bbackgroundknowledge,31,37backpropagation,327-336,374algorithmillustration,330-331caseupdating,333defined,328epochupdating,333error,332functioning,329-330hiddenlayers,328,331inputlayers,328interpretabilityand,334-336learningrates,332logisticfunction,332multilayerfeed-forwardneuralnetwork,328-329networkpruning,335outputlayers,328,331samplelearningcalculations,333-334sensitivityanalysis,336sigmoidfunction,332terminatingconditions,333bagging,366-367,374balancedbinarytrees,471barcharts,22,207,208basecuboids,74,114,138basefacttables,12
本文标题:数据挖掘词汇索引(全部)
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