Travelled to:1 × United Kingdom
2 × Canada
4 × USA
Collaborated with:∅ M.L.G.Shaw D.E.Damian A.Eberlein J.B.Woodward
Talks about:knowledg (5) engin (3) data (3) structur (2) network (2) between (2) requir (2) induct (2) comput (2) trade (2)
Person: Brian R. Gaines
DBLP: Gaines:Brian_R=
Contributed to:
20012000
199619951994
1992
19911991
1989Wrote 9 papers:
- RE-2001-DamianSEGW #distributed #empirical #requirements
- An Empirical Study of Facilitation of Computer-Mediated Distributed Requirements Negotiations (DED, MLGS, AE, BRG, JBW), pp. 128–137.
- ICRE-2000-DamianESG #communication #performance #requirements
- The Effects of Communication Media on Group Performance in Requirements Engineering (DED, AE, MLGS, BRG), p. 191.
- AKDDM-1996-Gaines
- Transformation Rules and Trees (BRG), pp. 205–226.
- KDD-1995-Gaines #induction
- Structured and Unstructured Induction with EDAGs (BRG), pp. 124–129.
- KDD-1994-Gaines #exception #graph
- Exception Dags as Knowledge Structures (BRG), pp. 13–24.
- CAiSE-1992-ShawG #information management #re-engineering #synthesis
- The Synthesis of Knowledge Engineering and Software Engineering (MLGS, BRG), pp. 208–220.
- CHI-1991-ShawG #network
- Supporting personal networking through computer networking (MLGS, BRG), pp. 437–438.
- KDD-1991-Gaines #information management #trade-off
- The Trade-Off between Knowledge and Data in Knowledge Acquisition (BRG), pp. 491–506.
- ML-1989-Gaines #data-driven #database #empirical #induction #statistics #trade-off
- An Ounce of Knowledge is Worth a Ton of Data: Quantitative studies of the Trade-Off between Expertise and Data Based On Statistically Well-Founded Empirical Induction (BRG), pp. 156–159.