Proposing the multilevel indexing structure and algorithm that can effectively handle the huge user - profile files , and adopts the model of knapsack problem to solve the problem for providing suitable volume of information to users 提出了可以高效处理大量user - profile文件的多级索引结构及算法,用背包问题模型来解决给用户提供恰当数量信息的问题。
This paper analyses indexing object , content modeling , indexing structure and indexing model , and discusses on this basis some of the problems that exist in the video structuring , the organization and indexing of video documents 本文分析了视频信息的索引对象、内容建模、索引结构和索引模型,并在此基础上对视频信息的结构化、视频文档的组织和索引中存在的问题进行了探讨。
( 2 ) combining the methods of sliding windows and mbr , a kind of query based on subsequence similarity matching has been implemented , then we use mbr storage to take the place of dot storage in feature space and make r + - tree the multi - dimensional index structure ( 2 )结合滑动窗口和mbr方法实现子序列相似查询,在特征空间上利用mbr存储代替点存储,并采用r ~ + _ -树作为多维索引结构。
Age , gender . users do not see any difference in how the two hierarchies behave , although the natural hierarchy benefits from aggregating and indexing structures hidden from the user that account for the natural relationships in the source data 尽管自然层次结构是在聚合结构和索引结构(这两种结构对源数据中的自然关系进行了解释,并且对用户隐藏)的基础上形成,但是用户无法看到两种层次结构的行为差异。
This thesis discusses spatial data index first , shows the history of spatial index structure , introduces the current domestic and foreign main index structure in gis ' s spatial joining , and then makes use of character to express spatial object 本论文首先对空间数据库的索引进行探讨,并给出了空间索引结构的发展演化图,然后介绍了目前国内外gis的空间连接过程中的主流索引结构,最后引入了字符来表达空间对象。
This thesis studies the following key implementation techniques of ordb , i . e . , the query optimization techniques of ordb , the join predicate processing and join predicate index techniques , the general index structure and concurrency control strategy , and the reference based join algorithms 本文主要研究对象关系数据库中的查询优化处理技术、连接谓词处理及索引技术、通用索引结构及其并发控制、基于引用的连接算法等关键技术。
So far although large number of methods that focus explicitly on historical information retrieval or future prediction has been proposed , little attention has been given to the development of indexes that efficiently support queries about the past , the present and the anticipated future positions of moving objects 目前为止已有大量技术支持移动对象历史信息查询或未来信息预测,但是缺乏对于全时态信息索引结构与查询处理方法的研究。
In this paper , our research focus is to support queries about the past , the present and the future in moving object database . the contribution includes following three aspects : ( 1 ) index structure tb _ ppf - index is proposed to support queries about the past , the present and the future 本文对移动对象全时态查询索引结构与查询处理技术进行了研究,贡献主要体现在以下三个方面: ( 1 )提出了支持历史信息轨迹查询的全时态索引结构tb _ ppf - index 。
It is a feasible way to manager spatial objects by utilizing relational database in the gis applications . we have brought to octa - tree index structure for managering spatial data efficiently in relational schema . by space filling curve , z - curve , we mapped rsdd to 1 - dimensional linear sp 为了在关系模式下有效地对空间数据进行处理,论文提出了八分树的索引结构,并利用空间填充z一曲线把rsdd空间映射到一维空间,从而建立起了空间对象的索引顺序。
The first incremental outlier detection algorithm inclof is presented and compared with lof algorithm . the results from a study on synthetic data sets demonstrate that the runtime of inclof is much less than lof in dynamic and high dimensional environment where high indexing structures are ineffective 提出了一种动态环境下局部异常的增量挖掘算法inclof ,并通过实验和lof算摘要法进行了比较,结果表明在动态高维的环境下,当高维索引结构失效的情况下。