查詢相似性 的英文怎麼說

中文拼音 [zhāxúnxiāngsìxìng]
查詢相似性 英文
query similarity
  • 查 : 查名詞1. [植物學] （山查） hawthorn; haw2. （姓氏） a surname
  • 詢 : 動詞（詢問） ask; inquire
  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 查詢 : inquire about; [計算機] query; inquiry; polling
  • 相似性 : [物理學] similitude; similarity相似性定律 similar law; 相似性法則 similarity rule
  • 相似 : 1. （相像） resemble; be similar; be alike 2. （相像處; 類似物） similarity; similitude; analogue
  1. A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval

    研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。
  2. General method of similar sequence mining based on time series is to transform time series into discrete character series and cluster them into different sets, then compute the euclidean distance between querying series and these sets to measure their similarity

    摘要時間序列數據庫中相似子序列的搜索，常用滑動窗口、分形插值逼近等方法將時間序列分割成各子序列，線性擬合各分段子序列，計算查詢序列與各子序列的歐氏距離，滿足距離閾值條件的為相似子序列。
  3. 6 we present the query optimization method. for the clustered time series database, the query sequence is classified to one of the cluster, and the efficiency of querying is improved for the similarity search space is limited in the cluster, . 7 we implement a client / server query system and test the presented methods

    根據序列數據庫的聚類結果，將序列數據庫劃分為若干層次的簇結構，通過對查詢序列進行k最鄰近分類，確定查詢序列所屬的簇，然後在相應的簇中執行相似性查詢，實驗結果表』明，基於簇的查詢顯著提高了查詢效率。
  4. The main results in this paper as follows : first, a prototype of a shape - based image database retrieval system is completed, it can receive the query mode both by giving an example image and by sketching the desired object on the screen, second, five shape - based image retrieval methods are realized ; third, an algorithm based on triangulation for shape - based image retrieval is brought forward. in this algorithm, firstly, the edge of the original image is followed and the candidate corners in the original image are detected. then the counterpoints of the candidate corners in the result of edge follow are found, and the boundary corners whose counterpoints have been found are queued in the order of their counterpoints in edge follow

    同時本文中主要完成了以下三方面的工作：完成了一個基於形狀特徵的圖象檢索的原型系統，可實現例子圖象或徒手繪草圖兩種查詢方式；實現了五種利用形狀特徵進行圖象檢索的具體方法，並對其進行了分析比較；並且在繼承將三角剖分引入形狀檢索的思想基礎上提出了利用三角剖分進行形狀檢索的一種新演算法：先對原圖象進行邊界跟蹤和角點檢測；然後尋找初始角點在邊界跟蹤中的對應點，並對找到對應點的角點按其對應點在邊界跟蹤中的順序進行排序；再對排序后的角點進行德洛內三角剖分，得到能表示目標真實形狀的三角形序列；最後計算三角形序列的角度直方圖作為形狀特徵，並進行相似性匹配。
  5. Then we analyse the new complex queries method that support large - scale distributed p2p application. finally, we describe an efficient algorithm and data structure that support complex queries based on structured p2p network. coupled with a dynamic load balanceing mechanism, the model can handle both point and range queries regardless of the distribution of the queries

    本文首先介紹對等網路系統及其局限性，然後對最近提出的多種支持大規模對等網路的分散式哈希表查找系統進行分析，為了支持復雜查詢，在結構化對等網路環境中引入了新的數據結構和演算法，使其能支持范圍查詢和有效的相似查詢，再結合動態的負載均衡機制，很好的避免了系統瓶頸。
  6. It includes the analysis to multi - media searching type and customer context " s support to the likeness and vagueness searching. while the searching - handling process and characteristic - index strategy and the likeness - matches algorithm will be introduced

    包括對多媒體查詢類型的分析和用戶上下文對相似查詢與模糊查詢的支持的說明以及查詢處理過程和特徵檢索策略和相似性匹配演算法等的介紹。
  7. Initially, a polyclonal antibodies was used to screen the cdna expression library to isolate pf40 gene from millet. sequence analysis revealed that the pf40 gene contained an open reading frame ( orf ) encoding a protein with 75 % - 35 % sequence identity to the zips ( zinc or iron transporter proteins ) gene family. software analysis of the pf40 gene character showed that pf40 protein had a eight trans - membrane region structure, pf40 protein was also rich in leucine ( 18. 4 % ) and the protein was a hydrophobic protein

    序列分析表明該基因具有一個開放閱讀框（ openreadingframe ， orf ） : genbank中查詢該基因編碼的蛋白與zips （ zincorirontransporterproteins ，離子通道蛋白）基因家族的蛋白有75 - 35的相似性；軟體的分析結果顯示該基因編碼的蛋白為一個有8個跨膜區的跨膜蛋白； pf40蛋白為疏水蛋白，以上的特徵也許是pf40基因發揮作用的基礎。
  8. This vulnerability is related to the iisam component of the odbc database driver and could be exploited using an excel 2000 query to do malicious acts similar to those described in

    這一安全性缺陷同odbc數據庫驅動程序中的iisam組件相關，並且利用該缺陷在excel 2000的查詢功能下可執行類似於
  9. To manage large - scale xml documents with complicated structure, this dissertation focus on the efficient structural indexing algorithm for xml data, result size estimation problem for xml structure based query optimization, result relevance ranking algorithm, and infrastructure for xml query processing for both text - rich and data - rich xml documents. to address the aforementioned issues, this dissertation makes the following contributions. first, it investigates the drawbacks of existing indexing algorithm for xml data, and propose a dynamic indexing algorithm for xml data based on d - bisimilarity, difx

    為滿足結構復雜、大規模的xml數據管理需要，本文深入研究了xml信息檢索系統中的結構索引演算法設計和結構化查詢優化中的查詢代價估計問題，以及查詢結果和查詢條件間的相關度演算法，主要取得了4個方面的成果：第一，分析了已有的xml數據索引演算法中存在的問題，提出了一種高效的動態xml結構索引演算法difx ，它採用動態後向結構相似性（ d - bisimilarity ）的概念，可以根據實際查詢需求以及索引最優化的要求動態決定索引中保存的結構信息。
  10. Clustering is one of the most important areas in data mining clustering finds the similarity among the data and use it to optimal the query of the large scale databases and find the hidden useful information and knowledge

    聚類分析是數據挖掘中的一個重要研究領域，它從數據庫中尋找數據間的相似性，從而優化大規模數據庫的查詢和發現數據中隱含的有用信息或知識。
  11. According to what mentioned above, it proposes a new index approach, aiming to provide both accurate query results and flexible query of similar content

    因此，擬提出新的索引組織方法，希望除了能有效提供正確的查詢結果外，也能提供使用者一種較有彈性的相似性內容查詢。
  12. 3 ) how to execute a query on xml documents that have similar structures to the query

    3 ）如何實現xml文檔的結構相似性查詢
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