A Rule Based Classification for Vegetable Production Using Rough Set and Genetic Algorithm
Author:
Affiliation:
1. School of Information Technology and Engineering, VIT University, Vellore, India
2. School of Computer Science and Engineering, VIT University, Vellore, India
Publisher
IGI Global
Subject
General Computer Science
Reference9 articles.
1. Acharjya, D. P. (2015). Knowledge Extraction from Information System Using Rough Computing. Improving Knowledge Discovery through the Integration of Data Mining Techniques, 161-182, IGI Global, USA.
2. Bhargavi, P., & Jyothi, S. (2009). Applying naive bayes data mining technique for classification of agricultural land soils. International journal of computer science and network security, 9(8), 117-122.
3. Deb, K. (2004). Optimization for engineering design-algorithms and examples, Prentice Hall of India, 290-356.
4. GoldbergD. E. (2006). Genetic algorithm in search optimization and machine learning. India: Pearson Education.
5. Grzymula-BusseJ. W. (1992). LERS-A System for Learning from Examples based on Rough Sets. In SlowwinskiR. (Ed.), Intelligent Decision Support, Handbook of Applications and Advances of the Rough Set Theory. Springer Netherlands, 11 (pp. 3–18). 10.1007/978-94-015-7975-9_1
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