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FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications

Authors:

Xiaolong ZhuAuthors Info & Claims

Knowledge and Information Systems, Volume 52, Issue 2

Pages 411 - 443

https://doi.org/10.1007/s10115-016-1014-0

Published: 01 August 2017 Publication History

Abstract

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. 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. Case studies of real-world applications demonstrate the efficacy and effectiveness of our proposed system.

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Cited By

Díaz JEspinosa RHochstetter J(2022)Towards More Clean Results in Data Visualization: A Weka Usability ExperimentDesign, User Experience, and Usability: UX Research, Design, and Assessment10.1007/978-3-031-05897-4_27(389-400)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-05897-4_27
Xia BBai YYin JLi YXu J(2021)LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event ModelingInformation Systems Frontiers10.1007/s10796-020-10026-323:2(285-298)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1007/s10796-020-10026-3
Espinosa RGarcía-Saiz DZorrilla MZubcoff JMazón J(2019)S3MiningComputer Standards & Interfaces10.1016/j.csi.2019.03.00465:C(143-158)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1016/j.csi.2019.03.004

FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications
1. Information systems
  1. Information systems applications

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cover image Knowledge and Information Systems

Knowledge and Information Systems Volume 52, Issue 2

August 2017

267 pages

ISSN:0219-1377

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Copyright © Copyright © 2017 Springer-Verlag London Ltd.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 August 2017

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Cited By

Díaz JEspinosa RHochstetter J(2022)Towards More Clean Results in Data Visualization: A Weka Usability ExperimentDesign, User Experience, and Usability: UX Research, Design, and Assessment10.1007/978-3-031-05897-4_27(389-400)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-05897-4_27
Xia BBai YYin JLi YXu J(2021)LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event ModelingInformation Systems Frontiers10.1007/s10796-020-10026-323:2(285-298)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1007/s10796-020-10026-3
Espinosa RGarcía-Saiz DZorrilla MZubcoff JMazón J(2019)S3MiningComputer Standards & Interfaces10.1016/j.csi.2019.03.00465:C(143-158)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1016/j.csi.2019.03.004

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