序列关联

  • 网络Sequential Associations;serial correlation
序列关联序列关联
  1. 基于序列关联规则挖掘的Web日志预测精度研究

    Mining Sequential Association Rule for Improving Web Document Prediction

  2. 湍流状况下的管式反应器中的速度时间序列关联维数分析

    Analysis of Correlation Dimensions of Time Series in Turbulence Pipe Reactor

  3. 基于互关联后继树的多时间序列关联模式挖掘

    Mining Relationship Patterns in Multiple Time Series Based on IRST

  4. 基于用户访问事务文法的序列关联规则发现

    Sequence Association Rule Discovery Based on User Access Transaction Grammar

  5. 污水流量序列关联维数的计算

    Calculation of the Correlative Dimension of Daily Sewage Flow Series

  6. 考虑时间序列关联的订单选择决策比较研究

    Comparative study of order selection decision considering time series association

  7. 一种计算时间序列关联维的逐步递归法

    A Novel Method of Calculating the Correlative Dimension of Time-Series

  8. 时间序列关联分析的灰色方法

    The gray method on correlation analysis of time series

  9. 时间序列关联维数在非线性系统运动性态识别中的应用

    Characteristic Identification of Nonlinear Dynamics System with the Fractal Dimension of Time Series

  10. 序列关联并行挖掘算法研究

    Parallel Data Ming Algorithm of Sequential Associations

  11. 灰元序列关联度

    The Correlate Degree of Grey Sequences

  12. 灰数序列关联分析

    Relational analysis of grey numeral sequences

  13. 基于片段模式的多时间序列关联分析

    Segment-based Multiple Time Series Association Analysis

  14. 最后应用关联规则发现算法进而发现序列关联规则。

    Subsequently , the association rule discovery algorithm is employed to discover the sequence association rules .

  15. 本文对基于片断模式的多时间序列关联分析进行了研究,提出了一种分析方法。

    In this paper , it is studied that segment-based multiple time series association rules analysis , and an ap - proach is presented .

  16. 通过分析关联维数与最大破坏应力之间的关系,研究不同应力时关联维数的变化规律,在此基础上判断声发射时间序列关联维数对于预测预报冲击地压的参考价值。

    Based on above , estimating the reference value of rockburst predicating and forecasting which is about correlation dimension of rock acoustic emission time sequence .

  17. 完善了时间序列关联挖掘,考虑了带有时滞阈值的时序关联挖掘,使分析结果具有很强的实用性。

    This article improves the time-series association mining by taking into account the time delay threshold in the time-series mining . The means make the results more real and practical meaning .

  18. 通过审计事件多角度分析、安全字段参数控制、审计序列关联分析、由时间戳控制隐蔽通道阈值、引入干扰等阻止信息传递策略,增强了系统的安全性能。

    The key measure was composed of the audit of secure parameter and the analysis of interrelated event and the timestamps of the covert channel . The system secure performance was enhanced .

  19. 该方法以网络安全事件作为风险的诱因,以实时超安全事件风险作为基础,充分考虑了超安全事件间的序列关联关系。

    It treats security events as inducements for the risk , considers real-time hyper security event risk as foundation and calculates node risk in a real-time dynamic quantitative way for the sake of risk reduction .

  20. 仿真实验结果表明,用该算法计算标准混沌时间序列关联维的相对误差由传统算法的4.4%降低到1.06%,有效地提高了计算相空间重构中不变量的精度。

    The simulated experimental results indicate that the relative error of the correlation dimension of standard chaotic time series is decreased from 4.4 % by the conventional algorithm to 1.06 % by using this algorithm . The accuracy of invariants in phase space reconstruction is greatly improved .

  21. DNA编码序列的关联特性

    A Critical Review on the Correlation Properties of Coding DNA Sequences

  22. 本文编制的同时回归出时间序列的关联维及信息熵的VB程序,对处理混沌问题具有一定的通用性。

    Correlation dimension and information entropy for the time series is calculated at same time with a Visual Basic program which adapt to deal with chaotic problems .

  23. 由于Web站点内含丰富的页面结构信息,也由于用户的访问总是要遵循一定的访问顺序,因此提出一种新的可以发现用户访问序列之间关联度的方法&序列关联规则发现方法。

    Because there is the rich structure information in the website and the access of the users conforms to some kinds of sequences , a new approach is presented in this paper to discover the association between the access sequences , which is the sequence association rule discovery .

  24. 分别计算出风速时间序列的关联维数和最大Lyapunov指数,验证风速时间序列的混沌特性,将混沌相空间重构引入到风速预测中,为风速短期预测奠定了理论基础。

    Then , the chaotic characteristics of wind speed time series is verified by the correlation dimension and maximum Lyapunov index , so chaotic phase space reconstruction can be introduced to the wind speed prediction and laid the foundation for the prediction .

  25. 多重分形去趋势交叉相关分析(MF-DCCA)方法在描述时间序列的关联性和侦测标度指数有已被证明是非常有用的。

    Multifractal Detrended Cross-Correlation analysis ( MF-DCCA ) has proved useful in describing the correlations and detecting the scaling exponent of time series .

  26. 在利用G.P.法由单一时间序列计算关联维D2的基础上,引入矩阵范数,提出了多时间序列数据联合计算关联维D2的算法。

    P. A. determining correlation dimension D2 from a single time sequence and by use of the concept of matrix norm , a method of computing correlation dimension D2 from multiple time sequences is presented in this paper .

  27. 核酸序列碱基关联的进一步研究

    Further Study on the Correlation of Bases in Nucleic Acid Sequences

  28. 系统调用序列中关联规则的挖掘及其应用

    Method and Usage of Mining Association Rules in System Call Serial

  29. 把数字拆分,并且把每个序列相关联。

    Split the number up and make an association for each sequence .

  30. 一种非线性时间序列的关联维快速算法

    A fast algorithm of correlation dimension in nonlinear time series