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- α-stable分布α-stable distribution
- α-stable过程α-stable process
- FP-growthFP-growth
- Alpha-stable分布Alpha-stable distribution
- FP_growthFP_growth
- 低指数Stable函数low exponent stable laws
- 暂留对称stable过程transient symmetric stable processes
- 生成一个干净的stable版存储列表Get a clean list of repositories for stable
- stable fixed point (稳定区的)稳定固定点
- 针对Apriori算法和FP-growth算法存在的问题，本文主要开展并完成了以下研究工作：This paper has completed the following research work to solve the problems of the Apriori algorithm and the FP-growth algorithm.
- 研究了关联规则的基本理论,描述并分析了经典关联规则算法Apriori算法和FP-growth算法。Basic theory of Association Rules is researched. The typical algorithms such as Apriori and FP-growth of mining association rules are discussed and analyzed.
- stable_id在其中应用了权限的表或视图的表号。Stable_id The table number of the table or view to which the permissions apply.
- 只有当日志文件使用较小的size和growth_increment值定义时,虚拟日志文件才会影响系统性能。The only time virtual log files affect system performance is if the log files are defined by small size and growth_increment values.
- stable bituminous dispersion (即慢裂乳化沥青)稳定沥青分散液
- FP-Growth算法是一种基于模式增长的频繁模式挖掘算法，避免了大量候选项集的产生，只需要两次扫描数据库。FP-Growth algorithm adopts pattern fragment growth method and only scans database twice.
- ttable_id在Adaptive Server Anywhere的当前版本中,该表号始终与stable_id相同。Ttable_id In the current version of Adaptive Server Anywhere, this table number is always the same as stable_id.
- 人胰岛素样生长因子2(Insulin-like growth factor 2，IGF2)和H19即为研究较早的一对相互毗邻的印记基因。Insulin-like growth factor 2 (IGF2) and H19 are two imprinted genes located adjacent to each other at chromosome 11p15.5 in humans.
- 目的：探讨生长激素(Growth hormone,GH)对阿霉素(Adriamycin,ADR)心肌病大鼠心肌细胞凋亡的影响及其机制。Objective To explore the effects and the mechanisms of growth hormone (GH) on cardiomyocyte apoptosis in adriamycin (ADR)-induced cardiomyopathy in rats.
- 一个发行版经常既可以由代号(如woody、sarge)也可由状态名(如oldstable、stable、testing、unstable)表示。A release can often be referred to by both its codename (e. G. Woody, sarge) and by its status name (i. E. Oldstable, stable, testing, unstable).
- 提出的MAGO-FP算法,使用Gene Ontology(GO)的概念分层结构,通过对FP-Growth算法的扩展,具有一定的性能优势。Improved from FP-Growth algorithm,MAGO-FP,a highly efficient data mining technique for discovering the multilevel association rules from biological data based on the concept hierarchy of Gene Ontology(GO)has been proposed.
