Research On Knowledge Discovery In Agriculture Database Based On Rough Sets Theory

Due to the wide application of modern computeralized data collection and Database technology over past years, many, different industries particularly in the fields of Agriculture, Meteorological observation and medical research have already collected huge amount of data. As traditional data analyze methods only provide a few simple services such as searching, indexing and calculating, which rather is hardly to discover the inherit or implicit information. Knowledge Discovery in Database (KDD) as a new research approach to analyze and identify data in an intelligent and automatic science way is forwarded.Knowledge Discovery in Database which widely applies Statistics theory ,Rough Sets theory ,Fuzzy theory .Machine Learning as well as Expert Systems and other scientific ways is essentially the nontrivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in dataAs one of technology theories applying for Knowledge Discovery in Database, Rough Sets theory which mainly targets to identify incomplete and uncertain data was forwarded by Z Pawlak in 1982. Since its deployments do not need much preexperienced knowledge, Compared with other KDD methods Rough Sets theory can bring more convince to application fields.The thesis concentrates on how to deploy Knowledge Discovery in Database of agriculture field to do research, and provides an in-depth analysis and solution on Knowledge Discovery in Agriculture Database based on Rough Sets theory. Firstly, it shed light on the fact that Rough set Theory is an efficient scientific way to identify incomplete and uncertain data and especially tits for Knowledge Discovery in Agriculture database. And Then It further discussed how to solve attributes generation problem. As one of most important aspect of Knowledge Discovery in Agriculture Database, Attributes reduction althorisms were put into efforts to be analyzed and a new reduction althorism that was proved to be able to increase reduction efficiency was eventually forwarded. In the end , The thesis proposed a system model for Knowledge Discovery in Agriculture Database based on Rough Sets Theory .Since the research of Knowledge" Discovery in Agriculture Database is still in the early development, The whole solution proposed in this thesis is excepted to provide certain cognition and sample method for current Knowledge Discovery in Agriculture Database research..