Time-Series Big Data Stream Evaluation

Petrus Mursanto; Ari Wibisono; Wendy D.W.T. Bayu; Valian Fil Ahli; May Iffah Rizki; Lintang Matahari Hasani; Jihan Adibah

doi:10.1109/IWBIS50925.2020.9255607

Time-Series Big Data Stream Evaluation

Petrus Mursanto, Ari Wibisono, Wendy D.W.T. Bayu, Valian Fil Ahli, May Iffah Rizki, Lintang Matahari Hasani, Jihan Adibah

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Big data processing is a challenging job. Extensive time-series data need a method of preparation, management, and feature calculation for each data arrival. FIMT-DD is an algorithm for processing predictive regression for big data. The splitting criteria in the standard FIMT-DD algorithm use a Hoeffding Bound. We propose to change the splitting criteria to Chernoff bound. The experimental results and the performance comparisons that we did have better results than the standard method. We use three real-world datasets. The improvement that we propose can produce a 2.3% accuracy improvement for traffic demand data.

Original language	English
Title of host publication	2020 International Workshop on Big Data and Information Security, IWBIS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-45
Number of pages	5
ISBN (Electronic)	9781728190983
DOIs	https://doi.org/10.1109/IWBIS50925.2020.9255607
Publication status	Published - 17 Oct 2020
Event	5th International Workshop on Big Data and Information Security, IWBIS 2020 - Depok, Indonesia Duration: 17 Oct 2020 → 18 Oct 2020

Publication series

Name	2020 International Workshop on Big Data and Information Security, IWBIS 2020

Conference

Conference	5th International Workshop on Big Data and Information Security, IWBIS 2020
Country/Territory	Indonesia
City	Depok
Period	17/10/20 → 18/10/20

Keywords

Big Data
Chernoff Bound
Data Stream
FIMT-DD
Intelligent Systems
Standard Deviation

Access to Document

10.1109/IWBIS50925.2020.9255607

Cite this

Mursanto, P., Wibisono, A., Bayu, W. D. W. T., Ahli, V. F., Rizki, M. I., Hasani, L. M., & Adibah, J. (2020). Time-Series Big Data Stream Evaluation. In 2020 International Workshop on Big Data and Information Security, IWBIS 2020 (pp. 41-45). Article 9255607 (2020 International Workshop on Big Data and Information Security, IWBIS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWBIS50925.2020.9255607

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title = "Time-Series Big Data Stream Evaluation",

abstract = "Big data processing is a challenging job. Extensive time-series data need a method of preparation, management, and feature calculation for each data arrival. FIMT-DD is an algorithm for processing predictive regression for big data. The splitting criteria in the standard FIMT-DD algorithm use a Hoeffding Bound. We propose to change the splitting criteria to Chernoff bound. The experimental results and the performance comparisons that we did have better results than the standard method. We use three real-world datasets. The improvement that we propose can produce a 2.3% accuracy improvement for traffic demand data. ",

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author = "Petrus Mursanto and Ari Wibisono and Bayu, {Wendy D.W.T.} and Ahli, {Valian Fil} and Rizki, {May Iffah} and Hasani, {Lintang Matahari} and Jihan Adibah",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 5th International Workshop on Big Data and Information Security, IWBIS 2020 ; Conference date: 17-10-2020 Through 18-10-2020",

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doi = "10.1109/IWBIS50925.2020.9255607",

language = "English",

series = "2020 International Workshop on Big Data and Information Security, IWBIS 2020",

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Mursanto, P, Wibisono, A, Bayu, WDWT, Ahli, VF, Rizki, MI, Hasani, LM & Adibah, J 2020, Time-Series Big Data Stream Evaluation. in 2020 International Workshop on Big Data and Information Security, IWBIS 2020., 9255607, 2020 International Workshop on Big Data and Information Security, IWBIS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 41-45, 5th International Workshop on Big Data and Information Security, IWBIS 2020, Depok, Indonesia, 17/10/20. https://doi.org/10.1109/IWBIS50925.2020.9255607

Time-Series Big Data Stream Evaluation. / Mursanto, Petrus; Wibisono, Ari; Bayu, Wendy D.W.T. et al.
2020 International Workshop on Big Data and Information Security, IWBIS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 41-45 9255607 (2020 International Workshop on Big Data and Information Security, IWBIS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hasani, Lintang Matahari

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KW - Intelligent Systems

KW - Standard Deviation

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Mursanto P, Wibisono A, Bayu WDWT, Ahli VF, Rizki MI, Hasani LM et al. Time-Series Big Data Stream Evaluation. In 2020 International Workshop on Big Data and Information Security, IWBIS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 41-45. 9255607. (2020 International Workshop on Big Data and Information Security, IWBIS 2020). doi: 10.1109/IWBIS50925.2020.9255607

Time-Series Big Data Stream Evaluation

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Keywords

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