Payment type classification on urban taxi big data using deep learning neural network

Herley Shaori Al-Ash; Ari Wibisono; Adila Alfa Krisnadhi

doi:10.1109/ICACSIS.2018.8618200

Payment type classification on urban taxi big data using deep learning neural network

Herley Shaori Al-Ash, Ari Wibisono, Adila Alfa Krisnadhi

Department of Computer Science

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

1 Citation (Scopus)

Abstract

Taxi service as a reliable means of public transportation is a public need. Classification of payment types is performed on New York City Yellow Taxi Trip Open Data that considered as big data and there is a number of unlabelled data greater than the number of labeled training data was situated. We used the framework namely learning from unlabelled data (lfun) and deep learning neural network as the classifier to address the classification problem. Experimentation to find out the better performance of using lfun was conducted. We achieved the f-measure average value reaching 0.725 for classification using the lfun framework.

Original language	English
Title of host publication	2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	201-206
Number of pages	6
ISBN (Electronic)	9781728101354
DOIs	https://doi.org/10.1109/ICACSIS.2018.8618200
Publication status	Published - 17 Jan 2019
Event	10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 - Yogyakarta, Indonesia Duration: 27 Oct 2018 → 28 Oct 2018

Publication series

Name	2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018

Conference

Conference	10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
Country/Territory	Indonesia
City	Yogyakarta
Period	27/10/18 → 28/10/18

Keywords

Big data
Deep learning neural network
Learning from unlabeled data framework

Access to Document

10.1109/ICACSIS.2018.8618200

Cite this

Al-Ash, H. S., Wibisono, A., & Krisnadhi, A. A. (2019). Payment type classification on urban taxi big data using deep learning neural network. In 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 (pp. 201-206). Article 8618200 (2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACSIS.2018.8618200

Al-Ash, Herley Shaori ; Wibisono, Ari ; Krisnadhi, Adila Alfa. / Payment type classification on urban taxi big data using deep learning neural network. 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 201-206 (2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018).

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title = "Payment type classification on urban taxi big data using deep learning neural network",

abstract = "Taxi service as a reliable means of public transportation is a public need. Classification of payment types is performed on New York City Yellow Taxi Trip Open Data that considered as big data and there is a number of unlabelled data greater than the number of labeled training data was situated. We used the framework namely learning from unlabelled data (lfun) and deep learning neural network as the classifier to address the classification problem. Experimentation to find out the better performance of using lfun was conducted. We achieved the f-measure average value reaching 0.725 for classification using the lfun framework.",

keywords = "Big data, Deep learning neural network, Learning from unlabeled data framework",

author = "Al-Ash, {Herley Shaori} and Ari Wibisono and Krisnadhi, {Adila Alfa}",

note = "Funding Information: This research is funded by PITTA grant No. 1867AJN2.R3.1/HKP.05.00/2018 from Universitas Indonesia. Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 ; Conference date: 27-10-2018 Through 28-10-2018",

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doi = "10.1109/ICACSIS.2018.8618200",

language = "English",

series = "2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "201--206",

booktitle = "2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018",

address = "United States",

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Al-Ash, HS, Wibisono, A & Krisnadhi, AA 2019, Payment type classification on urban taxi big data using deep learning neural network. in 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018., 8618200, 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 201-206, 10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018, Yogyakarta, Indonesia, 27/10/18. https://doi.org/10.1109/ICACSIS.2018.8618200

Payment type classification on urban taxi big data using deep learning neural network. / Al-Ash, Herley Shaori; Wibisono, Ari ; Krisnadhi, Adila Alfa.
2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 201-206 8618200 (2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018).

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

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AB - Taxi service as a reliable means of public transportation is a public need. Classification of payment types is performed on New York City Yellow Taxi Trip Open Data that considered as big data and there is a number of unlabelled data greater than the number of labeled training data was situated. We used the framework namely learning from unlabelled data (lfun) and deep learning neural network as the classifier to address the classification problem. Experimentation to find out the better performance of using lfun was conducted. We achieved the f-measure average value reaching 0.725 for classification using the lfun framework.

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M3 - Conference contribution

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BT - 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018

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Al-Ash HS, Wibisono A , Krisnadhi AA. Payment type classification on urban taxi big data using deep learning neural network. In 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 201-206. 8618200. (2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018). doi: 10.1109/ICACSIS.2018.8618200

Payment type classification on urban taxi big data using deep learning neural network

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