频繁项集是挖掘流数据挖掘的基本任务。
Mining frequent items is a basic task in stream data mining.
舞狮是一项集武术、舞蹈、音乐于一体的综合艺术。
The lion dance is an art which combines martial arts, dance and music together.
挖掘事务库中的频繁项集是数据挖掘的重要任务之一。
The mining of frequent items in transactional database is an important task of data mining.
摇摇 -无疑是一项集创意与挑战性于一身的运动。
实验表明，该算法对于频繁项集挖掘具有比较高的效率。
The experiments show that FP-DFS has good efficiency in frequent item-set mining.
旅游时一项集观光、娱乐、健身为一体的愉快而美好的活动。
Tourism is a nice and pleasant activity that combines sightseeing, recreation and health care.
遥感信息技术是一项集现代高新技术于大成的复杂系统工程。
The information technology of remote sensing is a multidisciplinary and complicated system engineering.
第二步是求基于多维的频繁项集的算法的实现及关联规则生成。
Secondly we mine multidimensional frequent items set and generate association rules.
最后还给出了无关项集的概念及其在多项式阶的计算过程中的应用。
In the last the concept of irrelative sets and its application in the computation of polynomial order are given.
在此基础上，给出了在伪装后的数据集上生成频繁项集的挖掘算法。
On this basis, the algorithm of generating frequent items from transformed data sets is proposed.
频繁项集挖掘是一个非常基本的，但最重要的任务，在数据流处理。
Frequent items mining is a very basic but important task in the data stream processing.
引入扩展频繁项集的概念，大大减小了检查频繁项集是否闭的搜索空间。
Furthermore, the concept of an expanded frequent itemset is introduced to greatly decrease the searching range for adjusting whether a frequent itemset is closed or not.
NET提供支援各种装置的核心行动控制项集，以符合大多数网站的行动需求。
NET provides a core set of mobile controls that support devices for the mobile requirements of most Web sites.
拦截斜板沉淀是一项集拦截、斜板沉淀技术优点于一体的新型水处理工艺与技术。
The intercepting and inclined plate sedimentation is a new water treatment process or technique which involves the advantages of intercepting sedimentation and inclined plate sedimentation.
应用该多层概要数据结构，实现了面向数据流的多层频繁项集的动态近似查找算法。
Applying the hierarchical sketch, an algorithm that finds hierarchical frequent items over data streams dynamically and approximately was implemented.
关联规则挖掘可以发现大量数据项集之间隐含的关系，在许多领域得到了广泛应用。
Mining association rules can find out some potential correlations in large quantity of data and has been applied widely in some fields.
现有关联规则挖掘算法都是在频繁项集基础上进行挖掘，关于非频繁项集的资料很少。
The existing association rules mining algorithms are chiefly based on frequent itemsets, and the record about infrequent itemsets is very rare.
该算法显著减少了已有算法中产生频繁项集及扫描大规模数据库的操作，性能改善明显。
The performance of this algorithm is improved noticeably by reducing the operation of producing frequent item sets and scanning large scale databases.
短式网球运动是一项集娱乐性、健身性、教育性、可普及性于一体的新兴体育运动项目。
The little tennis movement is item set entertainment, fitness, education, may be the popularization in a body's emerging sports project.
同时，随着大量数据不断地收集和存储，隐藏在数据项集之间有价值的规则就越难发现。
As massive amount of data continuously being collected and stored, knowledge or regular hidden in large data sets are more difficult to find.
由于随机哈希函数不可逆，目前的概要数据结构不得不遍历关键字地址空间以查找和估计频繁项集。
Due to the irreversibility of random hash mapping, current sketch data structures have to traverse the key address space to find frequent items.
该算法基于行枚举，通过长事务的交集运算，直接得到长项集，不必从短项集逐步扩展得到长项集。
The algorithm is based on row enumeration, which can find high-utility long itemsets directly by intersecting long transactions, without extending short itemsets step by step.
其利用关联规则得到的频繁项集实时地匹配用户的当前访问序列，对不同的用户提供不同的推荐资源。
It matched user's active access sequence with frequent item sets made by association rules in real time and offered different resources to different users.
传统的挖掘频繁项集的并行算法存在数据偏移、通信量大、同步次数较多和扫描数据库次数较多等问题。
There were problems in traditional parallel algorithms for mining frequent itemsets more or less: data deviation, large scale communication, frequent synchronization and scanning database.
工业CT (ICT)技术是一项集放射、光学、电子、计算机等多种技术于一体综合性强的高新技术。
Technique of ICT is a complex technique related to radiology, optics, electronics and computer.
投标工作是一项集法律、商务和工程技术等于一体的综合性工作，因此它对于企业承揽工程项目至关重要。
The bidding work is a comprehensive work incorporating the law, the commerce and the engineering technology, it is important to the enterprise contracting the project.
该方法克服了传统关联规则挖掘方法的不足，在产生频繁项集的同时进行规则挖掘，从而提高了挖掘效率。
This method conquers the disadvantage of traditional association rules mining methods, mining rules while mining frequent-item set, so the mining efficiency is greatly enhanced.
该方法克服了传统关联规则挖掘方法的不足，在产生频繁项集的同时进行规则挖掘，从而提高了挖掘效率。
This method conquers the disadvantage of traditional association rules mining methods, mining rules while mining frequent-item set, so the mining efficiency is greatly enhanced.
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