Elizabeth Sherly | Stikosa Aws (original) (raw)
Related Authors
Université des Sciences et Technologies de Lille (Lille-1)
Uploads
Papers by Elizabeth Sherly
This paper proposes an algorithm for alignment-free sequence comparison using Logical Match. Here... more This paper proposes an algorithm for alignment-free sequence comparison using Logical Match. Here, we compute the score using fuzzy membership values which generate automatically from the number of matches and mismatches. We demonstrate the method with both the artificial and real datum. The results show the uniqueness of the method by analyzing DNA sequences taken from NCBI databank.
Applied Artificial Intelligence, 2011
This paper proposes Logical Matching Strategy for sequential pattern matching. We show the two re... more This paper proposes Logical Matching Strategy for sequential pattern matching. We show the two real-world applications of the method: (1) locate repeating sequential pattern and (2) alignment-free comparison of sequential pattern of finite length using fuzzy membership values that generate automatically from the number of matches and mismatches. The results show the utility of the method by analyzing DNA sequences taken from the National Center for Biotechnology Information (NCBI) databank. The Logical Matching Strategy can possibly be applied to develop a method of research in sequental pattern matching.
This paper proposes a method for sequential data mining using correlation matrix memory. Here, we... more This paper proposes a method for sequential data mining using correlation matrix memory. Here, we use the concept of the Logical Match to mine the indices of the sequential pattern. We demonstrate the uniqueness of the method with both the artificial and the real datum taken from NCBI databank.
This paper proposes an algorithm for alignment-free sequence comparison using Logical Match. Here... more This paper proposes an algorithm for alignment-free sequence comparison using Logical Match. Here, we compute the score using fuzzy membership values which generate automatically from the number of matches and mismatches. We demonstrate the method with both the artificial and real datum. The results show the uniqueness of the method by analyzing DNA sequences taken from NCBI databank.
Applied Artificial Intelligence, 2011
This paper proposes Logical Matching Strategy for sequential pattern matching. We show the two re... more This paper proposes Logical Matching Strategy for sequential pattern matching. We show the two real-world applications of the method: (1) locate repeating sequential pattern and (2) alignment-free comparison of sequential pattern of finite length using fuzzy membership values that generate automatically from the number of matches and mismatches. The results show the utility of the method by analyzing DNA sequences taken from the National Center for Biotechnology Information (NCBI) databank. The Logical Matching Strategy can possibly be applied to develop a method of research in sequental pattern matching.
This paper proposes a method for sequential data mining using correlation matrix memory. Here, we... more This paper proposes a method for sequential data mining using correlation matrix memory. Here, we use the concept of the Logical Match to mine the indices of the sequential pattern. We demonstrate the uniqueness of the method with both the artificial and the real datum taken from NCBI databank.