Standard

An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior. / Ali, No'aman M.; Gadallah, Ahmed M.; Hefny, Hesham A.; Novikov, Boris.

2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9271467 (2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Ali, NM, Gadallah, AM, Hefny, HA & Novikov, B 2020, An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior. в 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020., 9271467, 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020, Institute of Electrical and Electronics Engineers Inc., 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020, Vladivostok, Российская Федерация, 6/10/20. https://doi.org/10.1109/FarEastCon50210.2020.9271467

APA

Ali, N. M., Gadallah, A. M., Hefny, H. A., & Novikov, B. (2020). An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior. в 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020 [9271467] (2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FarEastCon50210.2020.9271467

Vancouver

Ali NM, Gadallah AM, Hefny HA, Novikov B. An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior. в 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9271467. (2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020). https://doi.org/10.1109/FarEastCon50210.2020.9271467

Author

Ali, No'aman M. ; Gadallah, Ahmed M. ; Hefny, Hesham A. ; Novikov, Boris. / An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior. 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020).

BibTeX

@inproceedings{5b5ac90fc763450b92a94a49db90ea8a,
title = "An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior",
abstract = "Extracting useful and relevant information from the massive amount of data by web users becomes a challenging task. This work regarding applications based on the use of Web Usage Mining (WUM). Clickstream, transaction data, and user profile data represent various sources of web usage data. Preprocessing is an essential process in WUM for understanding the user's life as a whole within a session on a website. It signifies the aggregation of consequent series of page views executed by a singular user traversing through a website. Therefore, it represents a critical task that involves converting raw web log data to obtain a suitable pattern for efficient analysis. The importance of these processes relies on the complex nature of web architecture, and it takes almost 80% of the mining process. This work introduces a complete framework for data preprocessing with a comprehensive demonstration of a real dataset.",
keywords = "clickstream analysis, data preprocessing, link prediction, server log, web mining, web usage mining",
author = "Ali, {No'aman M.} and Gadallah, {Ahmed M.} and Hefny, {Hesham A.} and Boris Novikov",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020 ; Conference date: 06-10-2020 Through 09-10-2020",
year = "2020",
month = oct,
day = "6",
doi = "10.1109/FarEastCon50210.2020.9271467",
language = "English",
series = "2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020",
address = "United States",

}

RIS

TY - GEN

T1 - An Integrated Framework for Web Data Preprocessing Towards Modeling User Behavior

AU - Ali, No'aman M.

AU - Gadallah, Ahmed M.

AU - Hefny, Hesham A.

AU - Novikov, Boris

N1 - Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/10/6

Y1 - 2020/10/6

N2 - Extracting useful and relevant information from the massive amount of data by web users becomes a challenging task. This work regarding applications based on the use of Web Usage Mining (WUM). Clickstream, transaction data, and user profile data represent various sources of web usage data. Preprocessing is an essential process in WUM for understanding the user's life as a whole within a session on a website. It signifies the aggregation of consequent series of page views executed by a singular user traversing through a website. Therefore, it represents a critical task that involves converting raw web log data to obtain a suitable pattern for efficient analysis. The importance of these processes relies on the complex nature of web architecture, and it takes almost 80% of the mining process. This work introduces a complete framework for data preprocessing with a comprehensive demonstration of a real dataset.

AB - Extracting useful and relevant information from the massive amount of data by web users becomes a challenging task. This work regarding applications based on the use of Web Usage Mining (WUM). Clickstream, transaction data, and user profile data represent various sources of web usage data. Preprocessing is an essential process in WUM for understanding the user's life as a whole within a session on a website. It signifies the aggregation of consequent series of page views executed by a singular user traversing through a website. Therefore, it represents a critical task that involves converting raw web log data to obtain a suitable pattern for efficient analysis. The importance of these processes relies on the complex nature of web architecture, and it takes almost 80% of the mining process. This work introduces a complete framework for data preprocessing with a comprehensive demonstration of a real dataset.

KW - clickstream analysis

KW - data preprocessing

KW - link prediction

KW - server log

KW - web mining

KW - web usage mining

UR - http://www.scopus.com/inward/record.url?scp=85098912683&partnerID=8YFLogxK

U2 - 10.1109/FarEastCon50210.2020.9271467

DO - 10.1109/FarEastCon50210.2020.9271467

M3 - Conference contribution

AN - SCOPUS:85098912683

T3 - 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020

BT - 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020

Y2 - 6 October 2020 through 9 October 2020

ER -

ID: 72796541