Abstract
Abstract: The paper introduced the Data Mining and issues related to it. Data mining is a technique by which we can extract useful knowledge from urge set of data. Data mining tasks used to perform various operations and used to solve various problems related to data mining. Data warehouse is the collection of different method and techniques used to extract useful information from raw data. Genetic Algorithm is based upon the Darwin’s Theory in which low standard chromosomes are removed from the population because of their inability to survive the process of selection. The high standard chromosomes survive and are mixed by recombination to form more appropriate individuals. In this urge amount of data is used to predict future result by following several steps.
References
M. Molga and C. Smutnicki, “Test functions for optimization needs,†Test functions for optimization needs, vol. volume, p. page, 2005.
K. Ghoseiri and S. F. Ghannadpour, “Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm,†Applied Soft Computing, vol. 10, no. 4, pp. 1096–1107, 2010.
S. Yang, H. Cheng, and F. Wang, “Genetic algorithms with immigrants and memory schemes for dynamic shortest path routing problems in mobile ad hoc networks,†Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 40, no. 1, pp. 52–63, 2010.
O. A. Aguilar and J. C. Huegel, “Inverse kinematics solution for robotic manipulators using a cuda-based parallel genetic algorithm,†in Advances in Artificial Intelligence. Springer, 2011, pp. 490–503.
S. Debattisti, N. Marlat, L. Mussi, and S. Cagnoni, “Implementation of a simple genetic algorithm within the cuda architecture,†in The Genetic and Evolutionary Computation Conference, 2009.
S. S. V. K. B. Rashmi Sharan Sinha, Satvir Singh, “Speedup genetic algorithm using gpgpu,†in IEEE International Conference On Communication Systems and Network Technologies, Gwalior, India, vol. 5th, 4-6 April, 2015, p. 138.
J. Jaros, “Multi-gpu island-based genetic algorithm for solving the knapsack problem,†in Evolutionary Computation (CEC), 2012 IEEE Congress on. IEEE, 2012, pp. 1–8.
P. Pospichal, J. Jaros, and J. Schwarz, “Parallel genetic algorithm on the cuda architecture,†in Applications of Evolutionary Computation. Springer, 2010, pp. 442–451.
N. E. Rodriguez-Maya, M. Graff, and J. J. Flores, “Performance classification of genetic algorithms on continuous optimization problems,†in Nature-Inspired Computation and Machine Learning. Springer, 2014, pp. 1–12.
M. Yue, T. Hu, T. Hu, and X. Guo, “The research of parameters of genetic algorithm and comparison with particle swarm optimization and shuffled frog-leaping algorithm,†in Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on, vol. 1. IEEE, 2009, pp. 77–80.
Munawar Hasan ,“Genetic Algorithm and its application to Big Data Analysis†in International Journal of Scientific & Engineering Research, Volume 5, Issue 1, January-2014 ISSN 2229-5518
Akanksha Ahlawat, Bharti Suri,“Improving Classification in Data mining using Hybrid algorithmâ€, in 978-1-4673-6984-8/16/$31.00 © 2016 IEEE.
Sonali Agarwal, G. N. Pandey, and M. D. Tiwari,Data Mining in Education: Data Classification and Decision Tree Approach, in International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 2, No. 2, April 2012.
Smita, Priti Sharma ,Use of Data Mining in Various Field: A Survey Paper,in IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 3, Ver. V (May-Jun. 2014), PP 18-21.
Patiño Galván, Educational Evaluation and Prediction of School Performance through Data Mining and Genetic Algorithms in FTC 2016 - Future Technologies Conference 2016 6-7 December 2016 | San Francisco, United States.
Bharati M. Ramageri,DATA MINING TECHNIQUES AND APPLICATIONS in Indian Journal of Computer Science and Engineering Vol. 1 No. 4 301-305.
Christos Koukouvinos, Genetic Algorithm and Data Mining Techniques for Design Selection in Databases in 2013 International Conference on Availability, Reliability and Security.