The Computation of Semantic Data Cube
نویسندگان
چکیده
The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysis usually provides results with raw numbers and ignores the real meanings of these numbers. An example result is that the total sales of PC in this year are above 2000. The semantics of sale performance, high or low, is not clear and that is not easy to be understood for decision makers. The semantic data cube model with linguistic semantics is presented in this paper. The semantic data cube uses fuzzy set to represent the linguistic semantics of the dimensions and measures of data cube. The computation of semantic data cube is studied and the serial and parallel computation algorithms are presented. The experiments on the synthetic datasets show that the algorithms are scalable and efficient.
منابع مشابه
Efficacious Data Cube Exploration by Semantic Summarization and Compression
Data cube is the core operator in data warehousing and OLAP. Its efficient computation, maintenance, and utilization for query answering and advanced analysis have been the subjects of numerous studies. However, for many applications, the huge size of the data cube limits its applicability as a means for semantic exploration by the user. Recently, we have developed a systematic approach to achi...
متن کاملTenacity and rupture degree parameters for trapezoid graphs
Reliability of networks is an important issue in the field of graph and network. Computation of network vulnerability parameters is NP-complete for popular network topologies such as tree, Mesh, Cube, etc.In this paper, we will show that the tenacity and rupture degree parameters for trapezoid graphs can be computed in polynomial time.
متن کامل3D Gabor Based Hyperspectral Anomaly Detection
Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...
متن کاملCondensed Cube: An Effective Approach to Reducing Data Cube Size
Pre-computed data cube facilitates OLAP (On-Line Analytical Processing). It is a well-known fact that data cube computation is an expensive operation, which attracts a lot of attention. While most proposed algorithms devoted themselves to optimizing memory management and reducing computation costs, less work addresses one of the fundamental issues: the size of a data cube is huge when a large b...
متن کاملPresentation of an efficient automatic short answer grading model based on combination of pseudo relevance feedback and semantic relatedness measures
Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...
متن کامل