ASCII based Sequential Multiple Pattern Matching Algorithm for High Level Cloning
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 6
Abstract
For high level of clones, the ongoing (present) research scenario for detecting clones is focusing on developing better algorithm. For this purpose, many algorithms have been proposed but still we require the methods that are more efficient and robust. Pattern matching is one of those favorable algorithms which is having that required potential in research of computer science. The structural clones of high level clones comprised lower level smaller clones with similar code fragments. In this repetitive occurrence of simple clones in a file may prompt higher file level clones. The proposed algorithm detects repetitive patterns in same file and clones at higher level of abstraction like file. In genetic area, there are a number of algorithms that are being used to identify DNA sequence. When compared with some of the existing algorithms the proposed algorithm for ASCII based sequential multiple pattern matching gives better performance. The present method increases overall performance and gradually decline the number of comparisons and character per comparison proportion by repudiating (avoid) unnecessary DNA comparisons.
Authors and Affiliations
Manu Singh, Vidushi Sharma
Keywords
Related Articles
- EP ID EP259621
- DOI 10.14569/IJACSA.2017.080635
- Views 104
- Downloads 0
Relationship of Liver Enzymes with Viral Load of Hepatitis C in HCV Infected Patients by Data Analytics
Correlation of liver enzyme with viral load of HCV has been previously questioned. Based on previous findings this study was aimed to appraise relationship of liver chemistry with HCV RNA titer and also to assess relatio...
Proposal Models for Personalization of e-Learning based on Flow Theory and Artificial Intelligence
This paper presents the comparison of the results of two models for the personalization of learning resources sequences in a Massive Online Open Course (MOOC). The compared models are very similar and differ just in the...
KNN and ANN-based Recognition of Handwritten Pashto Letters using Zoning Features
This paper presents an intelligent recognition sys-tem for handwritten Pashto letters. However, handwritten char-acter recognition is challenging due to the variations in shape and style. In addition to that, these chara...
Healthcare Management using ICT and IoT based 5G
In healthcare management, all patients need to be looked after properly with the latest technology. Although treatment facilities of healthcare management are available wirelessly, many treatments are still pending and d...
Attendance and Information System using RFID and Web-Based Application for Academic Sector
Recently, students attendance have been considered as one of the crucial elements or issues that reflects the academic achievements and the performance contributed to any university compared to the traditional methods th...