DTEclat: Dynamic Threshold Based Eclat ARM Algorithm for DNA Binding
Baby D Dayana1, Preethi.M2, Haripriyaa Shri SD3, Aakhya Singh4, Sanjay Aravind LR5

1Sanjay Aravind LR, student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, (Tamil Nadu), India.
2Aakhya Singh, student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, (Tamil Nadu), India.
3Haripriyaa Shri SD, student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, (Tamil Nadu), India.
4M Pon Preethi, student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, (Tamil Nadu), India.
5Mrs. Baby D. Dayana assistant professor at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram, (Tamil Nadu), India.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1991-1995 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2855037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Data mining is the way towards extracting valuable information from various sources. Eclat is a data mining algorithm which is utilized to search frequent items from an expansive database. ARM which is termed as Association Rule Mining algorithm is an important technique in data mining for learning methods to discover relations between variables in large databases. Utilizing gene expression, Methylation and Protein interaction, an interesting connection between two or three pairs of genes in a biological dataset is recognized. Dynamic thresholds are calculated automatically by analysing the load pattern from the historical data. The thresholds used for this purpose are Distance based Variable Supports
Keywords: Association Rule Mining, Eclat Algorithm, Gene expression, DNA Methylation, Protein interaction
Scope of the Article: Foundations Dynamics