imgSeek可以按内容、关键字和相似性搜索图像。
ImgSeek searches images by content, keyword, and similarity.
数据的高维度是造成时序数据相似性搜索困难的主要原因。
High dimensionality is the main difficulty of similarity search over time-series data.
数据库相似性搜索是基于序列比对方法，也被用在成对序列比较中。
Database similarity search is based upon sequence alignment methods also used in pairwise sequence comparison.
本文主要研究了时间序列数据挖掘方法中的序列模式和相似性搜索。
This paper analyses all kinds of algorithms used on sequential pattern mining and discusses traditional similarity search techniques.
事实上，它提供了从一个单一平台进行相似性搜索的最大数目的数据库。
In fact, it provides the maximum number of databases for similarity searching from a single platform.
目前对于时间序列数据挖掘的研究主要集中在相似性搜索和模式挖掘上。
Opposite to mature part of data mining (such as mining of database association rules and classify rules), mining of time series still falls into a new branch.
将时序数据有效地映射到特征空间是时间序列相似性搜索的一个关键问题。
Mapping the raw time series data to a modality space effectively is a critical problem in time series similarity search.
在搜索适当的数据库后，相似性搜索程序产生一列相似性序列和局部比对。
After searching the appropriate database, similarity search programs produce a list of similar sequences and local alignments.
蛋白质组学战略工具通常集中于相似性搜索，结构预测，蛋白质模型建立。
Proteomics strategy tools usually focus on similarity searches, structure prediction, and protein modeling.
最初，三个核心课程被开发：序列相似性搜索、遗传变异和人类基因组资源。
Initially, three core courses were developed: Sequence Similarity Search, Genetic Variation, and Human Genome Resources.
这一章提出了出于各种目标，在运行数据库相似性搜索时，应该总是被记住的要点。
This chapter presents points that should always be kept in mind when performing database similarity searches for various goals.
论文在深入研究和比较各种方法的基础上，探索适合水文数据特点的时间序列相似性搜索的方法。
Based on the research and comparison of different methods, this paper explored the similarity search method of time series which is adaptive to the characteristics of hydrological data.
时间序列存在于社会的各个领域，对于时间序列数据挖掘的研究目前主要集中在相似性搜索和模式挖掘上。
Recently the study on data mining of time series mainly concentrates on both the similarity search in a time series database and the pattern mining from a time series.
该系统首先对时间序列进行适当的处理，然后进行相似性搜索，分析未来的短时间的走势是否是历史上的重现。
First, the time series are processed properly and the similarity search is preformed and then analyse whether the short-term trend is the resurgence of history.
相似性搜索是解决重要的生物学问题，例如数据库扫描、进化研究、基因预测和蛋白质结构预测的一种强大的方法。
Similarity searches are a powerful method for solving important biological problems such as database scanning, evolutionary studies, gene prediction, and protein structure prediction.
这些结果应该在下任何结论前被认真检查，因为很多陷阱在等待相似性搜索者：旁系同源物、多结构域蛋白质、假基因等。
These results should be carefully examined before coming to any conclusion, as many traps await the similarity seeker: paralogues, multidomain proteins, pseudogenes, etc.
随着基因组测序计划产生大量的序列数据，数据库序列相似性搜索已经成为生物信息学中识别潜在同源序列的一个首要工具。
With genome sequencing projects producing huge amounts of sequence data, database sequence similarity search has become a central tool in bioinformatics to identify potentially homologous sequences.
根据遗传密码的简并特性提出了一种相似性搜索的新思想：以三联码为基础考虑简并特征的搜索策略似可将检出效率提高两倍。
Based on the degeneracy properties in genetic codes, we propose a new idea on the similarity search: a search strategy based on triplet codes and the degeneracy properties.
无论如何，搜索片段比完整文本搜索和相似性计算加起来要快得多。
Nevertheless, searching for fragments is faster than full text search combined with similarity calculations.
这些特殊的相似性也用于搜索引擎如何获得信息。
These peculiar similarities also apply to how search engines retrieve information.
给定一个视觉查询，查询代理通过使用多数投票算法对散列表进行搜索，得到一个形状具有潜在相似性的图像表。
Given a visual query, the query agent derives a list of potentially similar shape images by searching the hash table using a majority voting algorithm.
通过分析相邻子序列趋势距离的相似性，提出一种变步长趋势子序列快速搜索算法。
For fast sub trend sequence searching, a various steps algorithm is proposed based on analyzing the similarity of adjacent sub series distance.
时间序列相似性模式搜索是营销时间序列数据仓库中知识发现领域的一个研究热点。
The similarity pattern query about time series is one of the research hotspots in knowledge discovering in the time series database.
在基于高维索引技术的相似性查询处理中，通常通过过滤那些不包含任何查询结果的非活动子空间来不断缩减搜索空间。
In the similarity query processing based on high dimensional indexing, the searching space is usually narrowed down by pruning the inactive subspaces which do not contain any query results.
针对XML文档关键字搜索问题，从元素标签内容等价和元素结构相似性等价两个方面考虑无效的查询结果。
Concerning the keyword search in XML document, the meaningless query results are studied from two aspects: equivalence of content in element labels and similarity in element structure.
其次，本文研究了图像相似性匹配CBIR关键技术，并实现了本地CBIR检索模块，为图像搜索引擎原型系统构建起了总体框架。
Secondly, based on the key technology of CBIR researching, a local CBIR module is implemented in this thesis, which constructs a general frame for the system of image search engine.
其次，本文研究了图像相似性匹配CBIR关键技术，并实现了本地CBIR检索模块，为图像搜索引擎原型系统构建起了总体框架。
Secondly, based on the key technology of CBIR researching, a local CBIR module is implemented in this thesis, which constructs a general frame for the system of image search engine.
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