SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Knowledge from data using fuzzy methods
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
Machine Learning
Tree structure for efficient data mining using rough sets
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Data mining from 1994 to 2004: an application-orientated review
International Journal of Business Intelligence and Data Mining
Hi-index | 0.12 |
Product-sum property states that an ordered pair (s"n,p"n) is unique for any ordered set a"1,a"2,...,a"n where a"i,n@?N, and s"n and p"n are the sum and product of the elements of the set, respectively. This fact has been exploited to develop an O(log(M)) time complexity algorithm for pattern searching in a large dataset, where M is the number of records in the dataset. Two potential applications (from databases and computational biology) of this property have been demonstrated to show the effectiveness and working of the proposed algorithm. The space complexity of the algorithm rises to the quadratic order.