On Extracting Important Correlations in Salmon Lice Based Dataset
Salmon lice causes reduced fish welfare as well as great economical losses along with a significantly increased amount of work for fish farmers. Resistance among salmon lice to well established treatments has resulted in repeated treatments and reduced immune systems among the fish. The main focus of this work is to investigate correlations between salmon lice- and treatment-data received from a particular area on the Norwegian coast. Data mining originated approaches are used in an attempt to obtain new knowledge from the investigated data sets.
Keywords: Salmon, Data Mining, Hasse Diagrams, Association rules
Download Full-Text
ABOUT THE AUTHORS
Ingunn Alne Hoell
Ingunn Alne Hoell has a PhD degree in biochemistry and current-ly works at Stord/Haugesund University College as an associate professor. Her research interests are within environmental moni-toring, marine environment and biotechnology.
Sylvia Encheva
Sylvia Encheva, PhD, is professor in mathematics and informat-ics at Stord/Haugesund University College. Her research interests are within decision support systems, non-classical logics, and fuzzy systems.
Ingunn Alne Hoell
Ingunn Alne Hoell has a PhD degree in biochemistry and current-ly works at Stord/Haugesund University College as an associate professor. Her research interests are within environmental moni-toring, marine environment and biotechnology.
Sylvia Encheva
Sylvia Encheva, PhD, is professor in mathematics and informat-ics at Stord/Haugesund University College. Her research interests are within decision support systems, non-classical logics, and fuzzy systems.
