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Charles A. Snyder

dblp:58/1024 · DBLP profile ↗
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9ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 6Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data models and query languages · 77% Query processing and optimization · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages
entity-relationship model		 0.011989
The Effects of Relational and Entity-Relationship Data Models on Query Performance of End Users · Int. J. Man Mach. Stud. 1989

Methods — techniques the papers use, named apart from their topics

end-user experiment · 0.0
YearPublicationVenuePosition
2002 Decentralizing the is Function: Resources and Locus of Decisions
Paramjit S. Kahai, Charles A. Snyder, Houston H. Carr
 J. Comput. Inf. Syst.2
1999 Personal information privacy: implications for MIS managers
Sandra C. Henderson, Charles A. Snyder
 Inf. Manag.2
1994 Implementing information technology for competitive advantage: Risk management issues
Ronald E. McGaughey Jr., Charles A. Snyder, Houston H. Carr
 Inf. Manag.2
1992 The evolution of executive information system software
R. Kelly Rainer Jr., Charles A. Snyder, Hugh J. Watson
 Decis. Support Syst.2
1991 An alternative to emulation for micro-mainframe data exchange
Charlotte S. Stephens, Charles A. Snyder
 Inf. Manag.2
1991 Computer Aided Software Engineering: Facilitating the Path for True Software and Knowledge Engineering
abstract
An emerging enterprise-wide orientation evidenced by comprehensive enterprise modeling supported by a technological architecture that includes computer aided software engineering (CASE) tools may empower knowledge and software engineers greater than ever before. An enterprise-wide orientation seeks to carry the strategy of an organization throughout its operations. Enterprise modeling makes it possible to have this panoramic view of the enterprise. An advanced technological architecture that includes CASE empowers enterprise functional personnel, knowledge engineers, and software engineers with the methodological and technological platform required to produce a comprehensive enterprise model. Current environmental trends are influencing how well organizations implement this enterprise-wide orientation, modeling perspective, and the methodological and technological platform.
Michael L. Gibson, Charles A. Snyder
 Int. J. Softw. Eng. Knowl. Eng.2
1989 The Effects of Relational and Entity-Relationship Data Models on Query Performance of End Users
Wen-Jang Kenny Jih, David A. Bradbard, Charles A. Snyder, Nancy G. A. Thompson
 Int. J. Man Mach. Stud.3
1985 Systems analysis in a complex environment: An interactive educational approach
James F. Cox, Charles A. Snyder
 Inf. Manag.2
1985 Assessing the organizational climate for OA implementation
William N. Ledbetter, Charles A. Snyder, James F. Cox
 Inf. Manag.2