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Knowledge engineering
Known as:
KE
, Knowledge science
Knowledge engineering (KE) refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems…
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Related topics
Related topics
33 relations
Artificial Intelligence Applications Institute
Artificial intelligence
Collaborative network
Conceptualization (information science)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Evolving Connectionist Systems: The Knowledge Engineering Approach
N. Kasabov
2007
Corpus ID: 56532313
Evolving Connectionist Methods.- Feature Selection, Model Creation, and Model Validation.- Evolving Connectionist Methods for…
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Review
2007
Review
2007
Transnational Migration Studies: Past Developments and Future Trends
P. Levitt
,
B. Jaworsky
2007
Corpus ID: 56259073
AbstractThe past two decades have witnessed a sea change in migration scholarship. Most scholars now recognize that many…
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Highly Cited
1999
Highly Cited
1999
A data mining framework for building intrusion detection models
Wenke Lee
,
S. Stolfo
,
K. Mok
Proceedings of the IEEE Symposium on Security…
1999
Corpus ID: 15087039
There is often the need to update an installed intrusion detection system (IDS) due to new attack methods or upgraded computing…
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Review
1998
Review
1998
Knowledge Engineering: Principles and Methods
R. Studer
,
Richard Benjamins
,
D. Fensel
Data & Knowledge Engineering
1998
Corpus ID: 2521178
Highly Cited
1996
Highly Cited
1996
Rough sets: Theoretical aspects of reasoning about data
J. Zalewski
1996
Corpus ID: 61529991
Review
1995
Review
1995
Intelligent agents: theory and practice The Knowledge Engineering Review
M. Wooldridge
,
N. Jennings
1995
Corpus ID: 59636863
Review
1994
Review
1994
Varieties of knowledge elicitation techniques
N. Cooke
Int. J. Hum. Comput. Stud.
1994
Corpus ID: 2401148
Information on knowledge elicitation methods is widely scattered across the fields of psychology, business management, education…
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Review
1992
Review
1992
First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
R. Battiti
Neural Computation
1992
Corpus ID: 27960650
On-line first-order backpropagation is sufficiently fast and effective for many large-scale classification problems but for very…
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Highly Cited
1989
Highly Cited
1989
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
A. Nola
,
S. Sessa
,
W. Pedrycz
,
E. Sanchez
Theory and Decision Library A:
1989
Corpus ID: 38670436
1: Introductory Remarks on Fuzzy Sets.- 2: Fuzzy Relation Equations in Residuated Lattices.- 3: Lower Solutions of Max-Min Fuzzy…
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Review
1984
Review
1984
The Knowledge Engineering Review
J. Fox
,
Maurice Ashill Esq
Knowledge engineering review (Print)
1984
Corpus ID: 29542979
The Journal of Automated Reasoning is an interdisciplinary journal that maintains a balance between theory, implementation and…
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