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An Index Structure for Fast Query Retrieval in Object Oriented Data Bases Using Signature Weight Declustering

机译:使用特征权重聚类的面向对象数据库中的快速查询检索的索引结构

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An important question in information retrieval is how to create a database index which can be searched efficiently for the data one seeks. One such technique called signature file based access method is preferred for its easy handling of insertion and update operations. Most of the proposed methods use either efficient search method or tree based intermediate data structure to filter data objects matching the query. Use of search techniques retrieves the objects by sequentially comparing the positions of 1s in it. Such methods take longer retrieval time. On the other hand tree based structures traverse multiple paths making comparison process tedious. This study describes a new indexing technique for object-oriented data bases using the dynamic balancing of B+ tree called SD (Signature Declustering) tree. The SD-tree represents all 1s in signatures in a compact manner that results in saving of insertion and searching time. Analytical experiments have been conducted by varying the signature length and the distribution of signature weight. The study clearly indicates the advantage of fast retrieval time in a way quite different from the other methods suggested in the past.
机译:信息检索中的一个重要问题是如何创建一个数据库索引,该数据库索引可以有效地搜索人们想要的数据。优选一种这样的技术,称为基于签名文件的访问方法,因为它易于处理插入和更新操作。大多数提议的方法使用有效的搜索方法或基于树的中间数据结构来过滤与查询匹配的数据对象。使用搜索技术通过顺序比较对象中1的位置来检索对象。这样的方法需要更长的检索时间。另一方面,基于树的结构遍历多个路径,使得比较过程繁琐。这项研究描述了一种新的索引技术,该技术使用称为SD(签名分簇)树的B +树的动态平衡来面向对象的数据库。 SD树以紧凑的方式表示签名中的全1,从而节省了插入和搜索时间。通过改变签名长度和签名权重分布进行了分析实验。该研究清楚地表明了快速检索时间的优势,其方式与过去建议的其他方法完全不同。

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