Abstract
This chapter considers some of the effective metaheuristics and classification techniques that have been applicable in intelligent data analytics. Firstly, metaheuristics approaches such as adaptive memory procedures and swarm intelligence are discussed, and then classification approaches such as case-based reasoning and rough sets are presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aamodt, A., & Plaza, E. (1994). Case-based reasoning: Foundational issues, methodological variations and system approaches. AI Communications, 17(1), 39–59.
Akerkar, R. (2005). Introduction to artificial intelligence. PHI Learning.
Akerkar, R., & Lingras, P. (2007). Building an intelligent web: Theory & practice. Sudbury: Jones & Bartlett Publisher.
Cheng, S., Yuhui, S., Quande, Q., & Ruibin, B. (2013). Swarm intelligence in big data analytics. s.l. (Lecture notes in computer science, pp. 417–426). Berlin/Heidelberg: Springer.
Gendreau, M. (2002). Recent advances in Tabu search. I: Essays and surveys in metaheuristics (pp. 369–377). s.l.: Kluwer Academic Publishers.
Glover, F., & Laguna, M. (1997). Tabu search. Norwell: Kluwer Academic Publishers.
Hertz, A., & de Werra, D. (1991). The Tabu search metaheuristic: How we used it. Annals of Mathematics and Artificial Intelligence, 1, 111–121.
Kennedy, J., & Eberhart, R. (2001). Swarm intelligence. London: Academic.
Kolodner, J. (1993). Case-based reasoning. San Francisco: Morgan Kaufmann.
Laguna, M., & Mart’I, R. (2003). Scatter search – Methodology and implementations in C. Norwell: Kluwer Academic Publishers.
Pawlak, Z. (1982). Rough sets. International Journal of Parallel Programming, 11(5), 341–356.
Taillard, E., Gambardella, L., Gendreau, M., & Potvin, J. (2001). Adaptive memory programming: A unified view of metaheuristics. European Journal of Operational Research, 135, 1–16.
Teodorovic´, D., & Dell’Orco, M. (2005). Bee colony optimization – A cooperative learning approach to complex transportation problems, Poznan: 10th EWGT Meeting.
Tereshko, V., & Loengarov, A. (2005). Collective decision-making in honeybee foraging dynamics. Computing and Information Systems Journal, 9(3), 1–7.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Akerkar, R., Sajja, P.S. (2016). Other Metaheuristics and Classification Approaches. In: Intelligent Techniques for Data Science. Springer, Cham. https://doi.org/10.1007/978-3-319-29206-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-29206-9_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29205-2
Online ISBN: 978-3-319-29206-9
eBook Packages: Computer ScienceComputer Science (R0)