<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Stream data mining has been a hot topic for research in the data mining research area in recent years, as it has an extensive application prospect in big data ages. Research on stream data mining mainly focuses on frequent item sets mining, clustering and classification. However, traditional steam data mining methods are not effective enough for handling high dimensional data set because these methods are not fit for the characteristics of stream data. So, these traditional stream data mining methods need to be enhanced for big data applications. To resolve this issue, a hybrid framework is proposed for big steam data mining. In this framework, online and offline model are organized for different tasks, the interior of each model is rationally organized according to different mining tasks. This framework provides a new research idea and macro perspective for stream data mining under the background of big data.</p></abstract>

Stream data mining has been a hot topic for research in the data mining research area in recent years, as it has an extensive application prospect in big data ages. Research on stream data mining mainly focuses on frequent item sets mining, clustering and classification. However, traditional steam data mining methods are not effective enough for handling high dimensional data set because these methods are not fit for the characteristics of stream data. So, these traditional stream data mining methods need to be enhanced for big data applications. To resolve this issue, a hybrid framework is proposed for big steam data mining. In this framework, online and offline model are organized for different tasks, the interior of each model is rationally organized according to different mining tasks. This framework provides a new research idea and macro perspective for stream data mining under the background of big data.

Noval Stream Data Mining Framework under the Background of Big Data

Jiang Xi Vocational College of Finance and Economic, Jiu Jiang,

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Noval Stream Data Mining Framework under the Background of Big Data"}

Stream data mining has been a hot topic for research in the data mining research area in recent years, as it has an extensive application prospect in big data...

Noval Stream Data Mining Framework under the Background of Big Data

Pubblicato online: 20 ott 2016

Pagine: 69 - 77

DOI: https://doi.org/10.1515/cait-2016-0053

Parole chiave
Stream data, data mining, clustering, classification, framework

© by Wenquan Yi

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Noval Stream Data Mining Framework under the Background of Big Data

Pubblicato online: 20 ott 2016

Pagine: 69 - 77

DOI: https://doi.org/10.1515/cait-2016-0053

Parole chiaveStream data, data mining, clustering, classification, framework

© by Wenquan Yi

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
Stream data, data mining, clustering, classification, framework