FIU-Miner: A Fast, Integrated, and User-Friendly System for Data Mining in Distributed Environment

被引:0
作者
Zeng, Chunqiu [1 ]
Jiang, Yexi [1 ]
Zheng, Li [1 ]
Li, Jingxuan [1 ]
Li, Lei [1 ]
Li, Hongtai [1 ]
Shen, Chao [1 ]
Zhou, Wubai [1 ]
Li, Tao [1 ]
Duan, Bing [2 ]
Lei, Ming [2 ]
Wang, Pengnian [2 ]
机构
[1] Florida Int Univ, Sch Comp Sci, Miami, FL 33199 USA
[2] ChangHong COC Display Devices Co Ltd, Mianyang 621000, Sichuan, Peoples R China
来源
19TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'13) | 2013年
关键词
Distributed Environment; Hadoop; Data Mining; Workflow;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The advent of Big Data era drives data analysts from different domains to use data mining techniques for data analysis. However, performing data analysis in a specific domain is not trivial; it often requires complex task configuration, onerous integration of algorithms, and efficient execution in distributed environments. Few efforts have been paid on developing effective tools to facilitate data analysts in conducting complex data analysis tasks.cloudjplc2011 In this paper, we design and implement FIU-Miner, a Fast, Integrated, and User-friendly system to ease data analysis. FIU-Miner allows users to rapidly configure a complex data analysis task without writing a single line of code. It also helps users conveniently import and integrate different analysis programs. Further, it significantly balances resource utilization and task execution in heterogeneous environments. A case study of a real-world application demonstrates the efficacy and effectiveness of our proposed system.
引用
收藏
页码:1506 / 1509
页数:4
相关论文
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