Abstract
Data Mining is all about analyzing the data gathered from different sources, based on different context and summarizing it into meaningful information. The belief of utilizing design pattern to improve the data mining application is relatively high. Design Pattern is a broad and general repeatable solution to a problem that occurs frequently in a software design. There are only a few number of researches illustrating their benefit. In this paper, we try to expose the relation between data mining architecture and design patterns. We have here taken a layered architecture for data mining environment and analyzed the impact of design pattern in every components of given architecture. This paper presents a survey on various design patterns used in data mining which is used to fulfill functional and nonfunctional requirements (quality attributes).
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Acknowledgments
This work is supported by the DST Funded Project, (SR/CSI/81/2011) under Cognitive Science Research Initiative in the Department of Computer Science, Amrita School of Arts and Sciences, Amrita Viswa Vidyapeetham University, Kochi.
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Prabhakar, N.P., Rani, D., Hari Narayanan, A.G., Judy, M.V. (2017). Analyzing the Impact of Software Design Patterns in Data Mining Application. In: Dash, S., Vijayakumar, K., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-10-3174-8_7
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DOI: https://doi.org/10.1007/978-981-10-3174-8_7
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