Large-Scale Data Mining and Distributed Processing in Big Data Internet

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Abstract:

With the development of Internet, various Internet-based large-scale data are facing increasing competition. With the hope of satisfying the need of data query, it is necessary to use data mining and distributed processing. As a consequence, this paper proposes a large-scale data mining and distributed processing method based on decision tree algorithm.

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Periodical:

Advanced Materials Research (Volumes 989-994)

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4594-4597

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Han J W, KamberM. DataMining: Concepts and Techniques. 2nded[M]. Morgan Kaufmann Publishers, 2001: 223-250.

Google Scholar

[2] Wei Zhang, Michael S. Branicky, Stephen M. Phillips. Stability of networked control systems [J]. IEEE Control Systems Magazine, 2001, 21(1): 85-99.

Google Scholar

[3] Guo Lin-sun and Wei Guo. Comparison of Distributed Localization Algorithms for Sensor Network With a Mobile Beacon[C]. Networking, Sensing and Control, 2004 IEEE International Conference. Taiwan, 2004: 536-540.

DOI: 10.1109/icnsc.2004.1297496

Google Scholar

[4] AbdelhamidBouchachia, WitoldPedrycz. Data Clustering with Partial Supervision [J]. Data Mining anf Knowledge Discovery, 2006, (12): 47-48.

Google Scholar

[5] Vilalta R, Stepinski T, Achari M. An Efficient Approach to External Cluster Assessment with an Application to Martain Topography [J]. Data Mining and Knowledge Discovery, 2007, (14): 21-23.

DOI: 10.1007/s10618-006-0045-7

Google Scholar