Use mind maps Our ideas don't usually come in a sequential patterns.
我们的观点不总是按照先后顺序出现的。
The Concept Lattice is suitable to discover various knowledge including sequential patterns.
概念格适用于挖掘包括序列模式在内的各种知识。
Therefore it gets very important to study how we can mine the fuzzy sequential patterns efficiently.
因此，研究如何有效地挖掘模糊序列模式变得尤为重要。
Considering the characters of the sequential patterns mining, Fequent Concept Lattice can improve the mining efficiency.
依据序列模式发现的特点，频繁概念格可以改善模式发现的时空性能。
Formerly, Sequential patterns Mining often only calculates some ordinal patterns, but it ignores some out-of-order patterns.
以往的序列模式挖掘往往只考虑一些顺序的模式，而将一些重要的非顺序的模式忽略了。
Based on the hierarchical clustering framework, an effective algorithm CSP is developed to mine compressed sequential patterns.
基于层次聚类框架，设计了一种有效的挖掘压缩序列模式的算法CSP。
To speed up mining sequential patterns, reducing the time cost is very important during discovering sequential frequent sequence.
提高序列模式挖掘算法效率的关键在于减少发现频繁序列的时间。
In order to improve the quality of the recommended pages, the page recommendation method for access sequential patterns is proposed.
为了提高页面推荐质量，给出面向访问序列模式的页面推荐方法。
It also discusses some techniques of data mining such as mining association rules, mining sequential patterns and data classification.
对常用于入侵检测系统中的数据挖掘技术如关联规则，序列分析，分类分析等进行了分析。
How to generate candidate frequent sequential pattern and calculate its support is a key problem in mining frequent sequential patterns.
如何确定候选频繁序列模式以及如何计算它们的支持数是序列模式挖掘中的两个关键问题。
Mining moving sequential patterns has great significance for effective and efficient location management in wireless communication systems.
在移动通信环境中，移动序列模式挖掘对于有效的提高位置管理的服务质量具有重大的意义。
An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub-sequences in a sequence database.
数据挖掘领域一个活跃的研究分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub - sequences in a sequence database.
数据挖掘领域的一个活跃分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
Mining sequential patterns is an important branch of data mining, and the GSP and PSP are the main two algorithms for mining sequential patterns.
序列模式挖掘是数据挖掘的重要分支，GSP算法与PSP算法是序列模式挖掘中的两种典型算法。
The discovered sequential patterns represent the most common subsequences with the database sequences and can be used to determine their similarity.
已发现的序列模式代表了数据库序列中最一般的子序列，因此可用它来确定数据序列的相似性。
Absrtact: An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub - sequences in a sequence database.
摘要：数据挖掘领域一个活跃的研究分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
Mining sequential patterns is one of the central content in data mining. There have been many models of sequential patterns and algorithms for mining sequential patterns.
挖掘序列模式是数据挖掘的主要内容之一，目前已有许多序列模式模型和相应的挖掘算法。
Then, large sequence and sequential patterns are all out pass the vector of matrix multiplication operator corresponding to the elements and simple addition operations have been.
接下来的大序列、序列模式等都是通过矩阵的列向量对应元素的相乘运算和简单的加法运算而得到。
The result reveals that conversation process is of negotiation, there are two general sequential patterns of invitations in Chinese context:single adjacency pair and multi-adjacency pair.
分析结果表明，邀请是一个磋商的互动过程，有单邻对和多邻对两种话轮结构模式。
Sequential analysis USES statistical modeling to detect patterns in data.
顺序分析使用统计建模来检测数据中的模式。
Sequential scans are typical in decision support system (DSS) applications but rare with OLTP access patterns.
顺序扫描一般在决策支持系统(DSS)应用程序中很常见，但很少出现在OLTP访问模式中。
Sequential pattern mining, which discovers frequent subsequences as interesting patterns in a sequence database.
序列模式挖掘就是发现序列数据库中的频繁子序列作为用户感兴趣的模式。
The access patterns to system memory and graphics local memory are averaged because there is no time-based sequential pattern to make them exact.
对系统存储器和图形本地存储器的访问模式是平均的，因为没有使它们准确的基于时间的顺序模式。
In pattern generation for sequential circuits at RTL, simulation-based methods avoid the large search space used in time-frame expansion methods, but the quality of patterns cant be guaranteed often.
在时序电路的RTL激励生成中，基于模拟的方法避免了帧扩展法庞大的搜索空间，但采用该方法常存在向量过多，质量不高等问题。
According to the presenting patterns, we can categorize them into two dimensions: simultaneous presenting and sequential presenting.
依据呈现方式否以划开为同时呈现和继时呈现。
According to the presenting patterns, we can categorize them into two dimensions: simultaneous presenting and sequential presenting.
依据呈现方式否以划开为同时呈现和继时呈现。
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