IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS)

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ISSN 2321-5992

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IMPACT FACTOR

Development of Predictor for Sequence Derived Features from Amino Acid Sequence using Associate Rule Mining, Authors : Miss. Bhavna Pachori,IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) ,http://www.ipasj.org/IIJCS/IIJCS.htm

Volume & Issue no: Volume 5, Issue 2, February 2017


Title:
Development of Predictor for Sequence Derived Features from Amino Acid Sequence using Associate Rule Mining
Author Name:
Miss. Bhavna Pachori
Abstract:
ABSTRACT A review of the literature on successful implementation of ERP reveals that there are many case studies undertaken by researches, but very few have empirically examined the success factors of ERP implementation. While most of those empirical studies were undertaken in Western countries, very few had examined the implementations in Middle Eastern countries and none in Saudi Arabia. Factors and challenges of ERP implementation in developing countries differ from those of Western countries. Hence a gap in the literature that examines Middle Eastern countries exists. This study is motivated to fill such gap by going beyond case study and boundaries of Western counties to empirically examine the determinants of successful ERP implementation in Saudi Arabia. The main purpose of this study is to examine the influence of some critical factors on successful implementation of ERP.
Cite this article:
Miss. Bhavna Pachori , " Development of Predictor for Sequence Derived Features from Amino Acid Sequence using Associate Rule Mining " , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS), Volume 5, Issue 2, February 2017 , pp. 041-044 , ISSN 2321-5992.
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