未来Orbitz的复杂事件处理还具有事件模式监测能力，包括实时点击序列(click stream)相关的分析和纠错能力。
The future of complex event processing at Orbitz includes event pattern monitoring capabilities. This includes real-time click stream analysis with correlation capabilities.
其次，分析了数据挖掘中所使用的关联规则和序列模式，对关联规则和序列模式的各种挖掘算法进行了比较。
Secondly, it analyzed association rule and sequence mode used in the process of data mining and compared the main algorithms of association rule and sequence mode.
在本文研究中，基于利用五个间隔序列的叶绿体dNA单倍型分析，我们提出了猪笼草种群的遗传变异模式。
In this study, we present the patterns of genetic differentiation of pitcher plant populations based on chloroplast DNA haplotype analysis using the sequences of five spacers.
本文在研究当前比较流行的一些序列模式挖掘算法的基础上，重点分析了MEMISP算法的不足。
Based on some sequential pattern mining algorithm, the dissertation analyzed the shortage of the MEMISP algorithm, and proposed an improved MEMISP algorithm.
先介绍序列模式挖掘中的基本概念，然后描述几个重要算法，最后给出性能分析。
This paper firstly introduces the basic concept of sequential pattern mining, then describes the main algorithms and finally analyzes their performance.
表达序列标签）测序分析技术广泛应用于基因功能和表达模式的分析研究。
The technology of expressed sequence tags (ESTs) was broadly applied in analysis of gene function and expression pattern.
通过寻找过程相似的有效指标，建立了一个适合于时间序列分析的相似预报模式。
After defining a effective index for process similarity, an analogue model, which is suitable for doing similarity forecast for a time series, was established.
这一结果提示，水稻作为禾本科植物的模式物种，应与竹类植物存在良好的基因组共线性关系，水稻基因组序列信息对竹类植物基因组研究与分析具有重要参考价值。
The results suggested that rice, as model plant for Poaceae, should have significant genomic synteny with bamboos, and its genomic sequences are important resource for bamboo genome research.
它涉及到统计，分析和模式识别，行为分析，时间序列分析，预测建模，可视化，因果的研究等等。
It involves statistics, profiling and pattern recognition, behavioral analysis, time series analysis, predictive modeling, visualization, cause-and-effect studies and more.
灰靶理论是处理模式序列的灰关联分析理论，其核心概念是靶心度，可以依据靶心度进行模式分级。
Grey target theory is grey relational theory of dealing with the lists of mode and its core concept is approaching degree. According to it, we can classify the modes.
论文研究了序列模式挖掘在网络告警分析中的具体应用。
Applications of alarm sequential pattern mining are studied in this paper.
在分析已知各类DNA的图形表示模式的基础上，提出一种DNA序列的“双符三阶”图形编码，并以此对一些特异DNA编码序列进行分析。
After analyzing different formats of DNA graphic representations, a new graphic coding pattern for DNA sequence with binote and tristave method was suggested.
序列模式挖掘作为一种时序数据分析的有效手段，能够自动从告警中提取出有助于关联分析的情景规则。
As an effective means to analyze timed data sequential pattern mining can extract episode rules from alarms, which is helpful to analyze correlation.
对这几种不同gre -EPI序列的时序图和K空间填充模式进行分析之后，选定与BEST序列相结合的GRE - EPI序列来改进SWI。
During analyzing the timing diagrams and K space-filling models of these several different GRE-EPI sequences, the BEST series is selected to combine with GRE sequence to improve SWI.
这作为全文研究的基础，贯穿于时间序列部分周期模式挖掘和增量挖掘分析的全过程。
They are the foundation of research on Algorithm of Mining Partial Periodic Patterns and they can be used in the whole paper.
采用聚类分析方法对交通流时间序列进行分析可以发现典型的交通流变化模式。
By clustering of traffic flow time series, the typical traffic fluctuation patterns can be found.
对时间序列的趋势性和相似性进行分析，研究了序列模式的挖掘算法等。
We also research the time series and series patterns mining, analysis tendencies and similarity of the time series, study the mining algorithms of the time series.
首先从理论上分析了基于伪随机序列的并行多模式实现原理。
Firstly the theoretical foundation of parallel multi-mode parallel pseudo-random number is analyzed.
在研究中比较了不同识别分子与靶序列DNA结合的强弱，发现双萘酰亚胺衍生物4对此序列DNA具有高亲合性的结合，并分析了识别分子与DNA复合物的碎裂机理以及结合模式。
It revealed that imide derivative 4, a potent binder of HIV-1 DNA, had the higher binding affinity with the duplex DNA among six DNA-recognizing mole-cules.
在研究中比较了不同识别分子与靶序列DNA结合的强弱，发现双萘酰亚胺衍生物4对此序列DNA具有高亲合性的结合，并分析了识别分子与DNA复合物的碎裂机理以及结合模式。
It revealed that imide derivative 4, a potent binder of HIV-1 DNA, had the higher binding affinity with the duplex DNA among six DNA-recognizing mole-cules.
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