Indexing Techniques in Data Warehousing Environment The UB-Tree Algorithm
نویسنده
چکیده
The indexing techniques in multidimensional databases are becoming more and more important. The data warehouse environment has become a popular technology and a lot of research work has been done in order to improve the query performance and to provide faster response times. The ability to answer these queries e fficiently is a critical issue since most of them are complex and iterative. In this paper, we discuss some multidimensional access methods and how they have shown high potential for significant performance in various application domains. We investigate the usability and performance of the UB-Tree (Universal B-Tree) as one of these multidimensional access methods/ The UB-Tree is a very promising multidimensional index, which has shown superiority over traditional access methods in different scenarios, especially in OLAP applications.
منابع مشابه
Benchmarking the UB-tree
In the area of multidimensional databases, the UB-tree represents a promising indexing structure. A key feature of any multidimensional indexing structure is its ability to effectively perform the range queries. In the case of UB-trees, we have proposed an advanced range query algorithm making possible to operate on indices of high dimensionality. In this paper we present experimental results o...
متن کاملThe UB - Tree : Performance of Multidimensional Range
We investigate the usability and performance of the UB-Tree (universal B-Tree) for multidimensional data, as they arise in all relational databases and in particular in datawarehousing and data-mining applications. The UB-Tree is balanced and has all the guaranteed performance characteristics of B-Trees, i.e., it requires linear space for storage and logarithmic time for the basic operations of...
متن کاملThe UB - Tree : Performance of Multidimensional Range Queries
We investigate the usability and performance of the UB-Tree (universal B-Tree) for multidimensional data, as they arise in all relational databases and in particular in datawarehousing and data-mining applications. The UB-Tree is balanced and has all the guaranteed performance characteristics of B-Trees, i.e., it requires linear space for storage and logarithmic time for the basic operations of...
متن کاملComparison of Decision Tree and Naïve Bayes Methods in Classification of Researcher’s Cognitive Styles in Academic Environment
In today world of internet, it is important to feedback the users based on what they demand. Moreover, one of the important tasks in data mining is classification. Today, there are several classification techniques in order to solve the classification problems like Genetic Algorithm, Decision Tree, Bayesian and others. In this article, it is attempted to classify researchers to “Expert” and “No...
متن کاملInterval Processing with the UB-Tree
Advanced data warehouses and web databases have set the demand for processing large sets of time ranges, quality classes, fuzzy data, personalized data and extended objects. Since, all of these data types can be mapped to intervals, interval indexing can dramatically speed up or even be an enabling technology for these new applications. We introduce a method for managing intervals by indexing t...
متن کامل