Knowledge discovery using genetic programming
Smith, Steven Lee
Al-Mahmood, Mohammed A.
Gates, William R.
MetadataShow full item record
Dramatic growth in database technology has outpaced the ability to analyze the information stored in databases for new knowledge and has created an increasing potential for the loss of undiscovered knowledge. This potential gains for such knowledge discovery are particularly large in the Department of Defense where millions of transactions, from maintenance to medical information, are recorded yearly. Due to the limitations of traditional knowledge discovery methods in analyzing this data, there is a growing need to utilize new knowledge discovery methods to glean knowledge from vast databases. This research compares a new knowledge discovery approach using a genetic program (GP) developed at the Naval Postgraduate School that produces data associations expressed as IF X THEN Y rules. In determining validity of this GP approach, the program is compared to traditional statistical and inductive methods of knowledge discovery. Results of this comparison indicate the viability of using a GP approach in knowledge discovery by three findings. First, the GP discovered interesting patterns from the data set. Second, the GP discovered new relationships not uncovered by the traditional methods. Third, the GP demonstrated a greater ability to focus the knowledge discovery search towards particular relationships, such as producing exact or general rules
Approved tor public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Creating a university technology commercialisation programme: confronting conflicts between learning, discovery and commercialisation goals Aten, Kathryn; Meyer, Alan D.; Krause, Alan J.; Metzger, Matthew L.; Holloway, Samuel S. (Inderscience Enterprises Ltd., 2011);Our knowledge-based society is pressing universities to transform from monastic scholarly enclaves into producers of new technologies and incubators of start-up firms. However, converting scientists’ curiosity-driven ...
Carter, Jason W. (Monterey, California. Naval Postgraduate School, 1997-09);Heuristic methods of solving exploratory data analysis problems suffer from one major weakness - uncertainty regarding the optimality of the results. The developers of DaMI (Data Mining Initiative), a genetic algorithm ...
Lee, Jerry Kwok Song (Monterey, California: Naval Postgraduate School, 2015-03);Since the end of the Cold War, Asia has faced many traditional and non-traditional security challenges. These challenges include increasing Chinese assertiveness, territorial disputes among multiple Asian states in the ...