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Sumali J. Conlon

Affiliations: 
The University of Mississippi, USA 
Area:
Management Business Administration, Computer Science
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"Sumali Conlon"
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Gerry H. Grant grad student 2005 The University of Mississippi
Yaquan Xu grad student 2006 The University of Mississippi
Mahmudul I. Sheikh grad student 2009 The University of Mississippi
Lakisha L. Simmons grad student 2011 The University of Mississippi

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Publications

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Balan S, Conlon S. (2018) Text Analysis of Green Supply Chain Practices in Healthcare Journal of Computer Information Systems. 58: 30-38
Conlon SJ, Abrahams AS, Simmons LL. (2015) Terrorism information extraction from online reports Journal of Computer Information Systems. 55: 20-28
Sheikh M, Conlon S. (2015) A Rule-Based System to Extract Financial Information Journal of Computer Information Systems. 52: 10-19
James TL, Cook DF, Conlon S, et al. (2014) A framework to explore innovation at SAP through bibliometric analysis of patent applications Expert Systems With Applications
Sheikh M, Conlon S. (2013) Application of machine translation in bilingual knowledge management International Journal of Intercultural Information Management. 3: 123
Simmons LL, Conlon SJ. (2013) Extraction of financial information from online business reports Data Base For Advances in Information Systems. 44: 34-48
Strong J, Mukhopadhyay S, Conlon S. (2009) Automatically extracting multilingual information to support international business decision making International Journal of Intercultural Information Management. 1: 359
Conlon SJ, Hale JG, Lukose S, et al. (2008) Information extraction agents for service-oriented architecture using web service systems: A framework Journal of Computer Information Systems. 48: 74-83
Conlon SJ, Lukose S, Hale JG, et al. (2006) Automatically extracting and tagging business information for e-business systems using linguistic analysis Semantic Web Technologies and E-Business: Toward the Integrated Virtual Organization and Business Process Automation. 101-126
Grant GH, Conlon SJ. (2006) EDGAR Extraction System: An Automated Approach to Analyze Employee Stock Option Disclosures Journal of Information Systems. 20: 119-142
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