Please use this identifier to cite or link to this item: https://doi.org/10.1145/1142473.1142547
Title: DADA: A data cube for dominant relationship analysis
Authors: Li, C.
Ooi, B.C. 
Tung, A.K.H. 
Wang, S.
Keywords: Data cube
Dominant relationship analysis
Microeconomic data mining
Skyline
Issue Date: 2006
Source: Li, C.,Ooi, B.C.,Tung, A.K.H.,Wang, S. (2006). DADA: A data cube for dominant relationship analysis. Proceedings of the ACM SIGMOD International Conference on Management of Data : 659-670. ScholarBank@NUS Repository. https://doi.org/10.1145/1142473.1142547
Abstract: The concept of dominance has recently attracted much interest in the context of skyline computation. Given an N-dimensional data set S, a point p is said to dominate q if p is better than q in at least one dimension and equal to or better than it in the remaining dimensions. In this paper, we propose extending the concept of dominance for business analysis from a microeconomic perspective. More specifically, we propose a new form of analysis, called Dominant Relationship Analysis (DRA), which aims to provide insight into the dominant relationships between products and potential buyers. By analyzing such relationships, companies can position their products more effectively while remaining profitable.To support DRA, we propose a novel data cube called DADA (Data Cube for Dominant Relationship Analysis), which captures the dominant relationships between products and customers. Three types of queries called Dominant Relationship Queries (DRQs) are consequently proposed for analysis purposes: 1)Linear Optimization Queries (LOQ), 2)Subspace Analysis Queries (SAQ), and 3)Comparative Dominant Queries (CDQ). Algorithms are designed for efficient computation of DADA and answering the DRQs using DADA. Results of our comprehensive experiments show the effectiveness and efficiency of DADA and its associated query processing strategies. Copyright 2006 ACM.
Source Title: Proceedings of the ACM SIGMOD International Conference on Management of Data
URI: http://scholarbank.nus.edu.sg/handle/10635/42021
ISBN: 1595934340
ISSN: 07308078
DOI: 10.1145/1142473.1142547
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