Evolutionary Computation and Big Data: Key Challenges and Future Directions
Cheng S, Liu B, Shi Y, Jin Y, Li B (2016)
In: Data Mining and Big Data. Tan Y, Shi Y (Eds); Lecture Notes in Computer Science. Cham: Springer International Publishing: 3-14.
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| Veröffentlicht | Englisch
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Autor*in
Cheng, Shi;
Liu, Bin;
Shi, Yuhui;
Jin, YaochuUniBi 
;
Li, Bin
;
Li, BinHerausgeber*in
Tan, Ying;
Shi, Yuhui
Abstract / Bemerkung
Over the past few years, big data analytics has received increasing attention in all most all scientific research fields. This paper discusses the synergies between big data and evolutionary computation (EC) algorithms, including swarm intelligence and evolutionary algorithms. We will discuss the combination of big data analytics and EC algorithms, such as the application of EC algorithms to solving big data analysis problems and the use of data analysis methods for designing new EC algorithms or improving the performance of EC algorithms. Based on the combination of EC algorithms and data mining techniques, we understand better the insights of data analytics, and design more efficient algorithms to solve real-world big data analytics problems. Also, the weakness and strength of EC algorithms could be analyzed via the data analytics along the optimization process, a crucial entity in EC algorithms. Key challenges and future directions in combining big data and EC algorithms are discussed.
Erscheinungsjahr
2016
Buchtitel
Data Mining and Big Data
Serientitel
Lecture Notes in Computer Science
Seite(n)
3-14
ISBN
978-3-319-40972-6
eISBN
978-3-319-40973-3
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2978508
Zitieren
Cheng S, Liu B, Shi Y, Jin Y, Li B. Evolutionary Computation and Big Data: Key Challenges and Future Directions. In: Tan Y, Shi Y, eds. Data Mining and Big Data. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2016: 3-14.
Cheng, S., Liu, B., Shi, Y., Jin, Y., & Li, B. (2016). Evolutionary Computation and Big Data: Key Challenges and Future Directions. In Y. Tan & Y. Shi (Eds.), Lecture Notes in Computer Science. Data Mining and Big Data (pp. 3-14). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-40973-3_1
Cheng, Shi, Liu, Bin, Shi, Yuhui, Jin, Yaochu, and Li, Bin. 2016. “Evolutionary Computation and Big Data: Key Challenges and Future Directions”. In Data Mining and Big Data, ed. Ying Tan and Yuhui Shi, 3-14. Lecture Notes in Computer Science. Cham: Springer International Publishing.
Cheng, S., Liu, B., Shi, Y., Jin, Y., and Li, B. (2016). “Evolutionary Computation and Big Data: Key Challenges and Future Directions” in Data Mining and Big Data, Tan, Y., and Shi, Y. eds. Lecture Notes in Computer Science (Cham: Springer International Publishing), 3-14.
Cheng, S., et al., 2016. Evolutionary Computation and Big Data: Key Challenges and Future Directions. In Y. Tan & Y. Shi, eds. Data Mining and Big Data. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 3-14.
S. Cheng, et al., “Evolutionary Computation and Big Data: Key Challenges and Future Directions”, Data Mining and Big Data, Y. Tan and Y. Shi, eds., Lecture Notes in Computer Science, Cham: Springer International Publishing, 2016, pp.3-14.
Cheng, S., Liu, B., Shi, Y., Jin, Y., Li, B.: Evolutionary Computation and Big Data: Key Challenges and Future Directions. In: Tan, Y. and Shi, Y. (eds.) Data Mining and Big Data. Lecture Notes in Computer Science. p. 3-14. Springer International Publishing, Cham (2016).
Cheng, Shi, Liu, Bin, Shi, Yuhui, Jin, Yaochu, and Li, Bin. “Evolutionary Computation and Big Data: Key Challenges and Future Directions”. Data Mining and Big Data. Ed. Ying Tan and Yuhui Shi. Cham: Springer International Publishing, 2016. Lecture Notes in Computer Science. 3-14.
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