K-Gram As A Determinant Of Plagiarism Level In Rabin-Karp Algorithm
Journal: International Journal of Scientific & Technology Research (Vol.6, No. 7)Publication Date: 2017-07-15
Authors : Andysah Putera Utama Siahaan; Mesran; Robbi Rahim; Dodi Siregar;
Page : 350-353
Keywords : Text Mining; Plagiarism; Similarity;
Abstract
Rabin-Karp is one of the algorithms used to detect the similarity levels of two strings. In this case the string can be either a short sentence or a document containing complex words. In this algorithm the plagiarism level determination is based on the same hash value on both documents examined. Each word will form K-Gram of a certain length. The K-Gram will then be converted into a hash value. Each hash value in the source document will be compared to the hash value in the target document. The same number of hashes is the level of plagiarism created. The length of K-Gram is the determinant of the plagiarism level. By determining the proper length of K-Gram it produces the accurate result. The results will vary for each K-Gram value.
Other Latest Articles
- Droplet Size Correlation Modeling In Agitated Immiscible Liquid Systems
- Parents Social And Economic Factors To Students Achievement Of Senior High SchoolSHC In North Central Timor Regency
- Role Of Stock Market Development In Relationship Between Foreign Ownership And Profitability Of Asean Countries
- Developing Religious Culture In School
- An Experimental Study On Drill Vibration Thrust Force And Surface Roughness In Drilling Of SCFCarbon Fibre Composite
Last modified: 2017-10-22 19:56:12