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Alan G. Merten

dblp:36/5323 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none

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

Databases, data management, data science and information retrieval · 5 · 2 first-author

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
3 papers
Database system architecture and tuning · 29% Data integration and cleaning · 22% Data models and query languages · 22%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › data transformation
data translation
0.011975
Investigations into the Application of the Relational Model to Data Translation · SIGMOD Conference 1975
Indexing and storage engines
file organization
0.011975
Selection of File Organization Using an Analytic Model · VLDB 1975
Data models and query languages
relational model
0.011975
Investigations into the Application of the Relational Model to Data Translation · SIGMOD Conference 1975
Performance modeling and evaluation › cost modeling
analytical cost model
0.011975
Selection of File Organization Using an Analytic Model · VLDB 1975
Database theory
normalization
0.011975
Investigations into the Application of the Relational Model to Data Translation · SIGMOD Conference 1975
Operating systems › special-purpose operating system
database operating systems
0.011977
Information Processing Systems in a Database Environment · VLDB 1977

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

analytic optimization · 0.0
YearPublicationVenuePosition
1997 From Conceptual Modeler to University President
Alan G. Merten
ER1
1977 A Note on the Survey: "Future of Database Technology"
Barron C. Housel, Alan G. Merten
VLDB2
1977 Information Processing Systems in a Database Environment
Alan G. Merten
VLDB1
1975 Investigations into the Application of the Relational Model to Data Translation
abstract
Experience with data translation over the last two years has resulted in a definite set of requirements for the normalized representation of data when used as an intermediate form during the process. The logical requirements pertain to the ability to represent a class of data structures including networks. The implementation requirements include the specification of two physical representations termed as the Restructurer Internal Form and the Interchange Form.Recent investigations with the Normal Forms of the relational model have shown that1. they satisfy the logical requirements2. a complete normalization to the third Normal Form requires excessive dependency data and results in reducing the restructuring operation to an identity transformation.3. normalization is not conducive to localizing the restructuring operations in the translator4. the first Normal Form used as a vehicle for translation poses problems with specification of keys and in handling networks.To alleviate the difficulties of normalization, a Modified Normal Form, similar to the First Normal Form, was designed and investigated. On the basis of the accessing, manipulation and processing requirements in the current model of data translation, it is concluded that a software system must be designed to work with the relational Normal Forms and their modified versions.
Shamkant B. Navathe, Alan G. Merten
SIGMOD Conference2
1975 Selection of File Organization Using an Analytic Model
abstract
The problems associated with file design have recently received increased attention. One approach to their solution has been the development of file models. These models can be employed to study alternate file structures and aid the file design process. In this paper, a single model and cost function is developed to characterize most of the file structure alternatives and the selection of file structures for a design problem is automated. A file design system is developed that can be used by a file designer to select good file organizations from a large number of alternatives. The computer program which implements the model uses analytic optimization techniques to select file organizations. The output of the design system is a class of file structures specified by its average characteristics and the details of the actual file structure can be determined by simulation or other techniques.
Alan G. Merten
VLDB2