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FIU-Miner: a fast, integrated, and user-friendly system for data mining in distributed environment

Published: 11 August 2013 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. A case study of a real-world application demonstrates the efficacy and effectiveness of our proposed system.

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    cover image ACM Conferences
    KDD '13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
    August 2013
    1534 pages
    ISBN:9781450321747
    DOI:10.1145/2487575
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 11 August 2013

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    Author Tags

    1. data mining
    2. distributed environment
    3. hadoop
    4. workflow

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    KDD '13 Paper Acceptance Rate 125 of 726 submissions, 17%;
    Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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    • (2024)Optimized Continuous Quality and Storage Management Model for Big Data Analysis2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC)10.1109/AKGEC62572.2024.10868899(1-6)Online publication date: 21-Nov-2024
    • (2023)LTAnomaly: A Transformer Variant for Syslog Anomaly Detection Based on Multi-Scale Representation and Long Sequence CaptureApplied Sciences10.3390/app1313766813:13(7668)Online publication date: 28-Jun-2023
    • (2021)An Effective Classification-Based Framework for Predicting Cloud Capacity Demand in Cloud ServicesIEEE Transactions on Services Computing10.1109/TSC.2018.280491614:4(944-956)Online publication date: 1-Jul-2021
    • (2017)Data-Driven Techniques in Disaster Information ManagementACM Computing Surveys10.1145/301767850:1(1-45)Online publication date: 10-Mar-2017
    • (2017)Knowledge Guided Hierarchical Multi-Label Classification Over Ticket DataIEEE Transactions on Network and Service Management10.1109/TNSM.2017.266836314:2(246-260)Online publication date: Jun-2017
    • (2017)An Advanced Inventory Data Mining System for Business Intelligence2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)10.1109/BigDataService.2017.36(210-217)Online publication date: Apr-2017
    • (2017)FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applicationsKnowledge and Information Systems10.1007/s10115-016-1014-052:2(411-443)Online publication date: 1-Aug-2017
    • (2016)DI-DAPProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983355(1593-1602)Online publication date: 24-Oct-2016
    • (2016)An Integrated framework for Mining Temporal Logs from Fluctuating EventsIEEE Transactions on Services Computing10.1109/TSC.2016.2598747(1-1)Online publication date: 2016
    • (2016)RHadoop-based fuzzy data mining: Architecture, design and system implementation2016 IEEE International Conference on Big Data Analysis (ICBDA)10.1109/ICBDA.2016.7509796(1-5)Online publication date: Mar-2016
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