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From Digitalization to Data-Driven Decision Making in Container Terminals
[article]
2019
arXiv
pre-print
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, and anomalies in intra- and inter-organizational terminal operations. ...
The chapter specifically focuses on data mining approaches and provides a comprehensive overview on applications in container terminals and related research. ...
Data Mining Methods Data mining can be used for either discovery (of patterns among data) or for verification. Discovery can be partitioned into prediction and description. ...
arXiv:1904.13251v1
fatcat:wt737jixanfutjy437wkwgl35m
Comparison of Main Approaches for Extracting Behavior Features from Crowd Flow Analysis
2019
ISPRS International Journal of Geo-Information
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This paper descriptively reviews and compares existing crowd analysis approaches based on different data sources. ...
Extracting features from crowd flow analysis has become an important research challenge due to its social cost and the impact of inadequate planning of high-quality services and security monitoring on ...
Acknowledgments: We would like to express our sincere gratitude to Professor David Báez-López at Universidad de las Américas Puebla for the continuous support of this research. ...
doi:10.3390/ijgi8100440
fatcat:mq5zzdsomzfclc6uc725hsoe3i
Transport-domain applications of widely used data sources in the smart transportation: A survey
[article]
2018
arXiv
pre-print
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Smart transportation is a framework that leverages the power of Information and Communication Technology for acquisition, management, and mining of traffic-related data sources, which, in this study, are ...
categorized into: 1) traffic flow sensors, 2) video image processors, 3) probe people and vehicles based on Global Positioning Systems (GPS), mobile phone cellular networks, and Bluetooth, 4) location-based ...
This form of control is highly recommended for isolated intersections with high-speed approaches and variable traffic patterns during a day. ...
arXiv:1803.10902v3
fatcat:tc67qy4x4vbtjb76qi6mbwrqy4
A Survey on Societal Event Forecasting with Deep Learning
[article]
2021
arXiv
pre-print
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Forecasting such events is of great importance for decision-making and resource allocation. ...
Then, we summarize data resources, traditional methods, and recent development of deep learning models for these problems. ...
[138] studied short-term prediction for a selected crime type at daily, weekly, and annually levels by using a stacked LSTM architecture. ...
arXiv:2112.06345v1
fatcat:jtdlo67bbbazhj6xea55h6bbqa
Unsupervised Deep Learning for IoT Time Series
[article]
2023
arXiv
pre-print
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To fill this void, we investigate unsupervised deep learning for IoT time series, i.e., unsupervised anomaly detection and clustering, under a unified framework. ...
In recent years, the powerful feature extraction and representation learning capabilities of deep learning (DL) have provided an effective means for IoT time series analysis. ...
Second, unsupervised anomaly detection and clustering both rely on the similarity measurement of samples when mining data patterns. ...
arXiv:2302.03284v1
fatcat:qnvdx6ntkfg5fohoil2vnmgema
Mining Personal Data Using Smartphones and Wearable Devices: A Survey
2015
Sensors
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These personal data can be exploited by data mining algorithms to discover hidden knowledge patterns, which may include frequent activities, classification of physiological data, and clusters of mobile ...
Thus, personal data mining techniques are surveyed in this study to set a direction for data analysis in RCEs. Personal data mining (PerDM) (a.k.a. ...
Junaid Shuja and Babak Daghighi helped in analyzing the quality of selected studies and outlining the manuscript. ...
doi:10.3390/s150204430
pmid:25688592
pmcid:PMC4367420
fatcat:3lcjmkqjeracbd6zxrzac4xcui
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges
2021
Applied Soft Computing
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A set of guidelines and recommendations for future research areas and promising applications are also presented in a final section. ...
We have studied the different approaches on the various forecasting methods and subareas where CI is currently being used. ...
)'', and that it is also an important process in ML and pattern recognition. ...
doi:10.1016/j.asoc.2021.107082
fatcat:b6oavdvehvaabcsd2vhypmgafu
2021 Index IEEE Transactions on Intelligent Transportation Systems Vol. 22
2021
IEEE transactions on intelligent transportation systems (Print)
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TITS Dec. 2021 7891-7903 Forecasting theory Daily Traffic Flow Forecasting Through a Contextual Convolutional Recur-rent Neural Network Modeling Inter-and Intra-Day Traffic Patterns. ...
doi:10.1109/tits.2021.3139738
fatcat:p2mkawtrsbaepj4zk24xhyl2oa
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
2018
Journal of Internet Services and Applications
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Primarily, this is due to the explosion in the availability of data, significant improvements in ML techniques, and advancement in computing capabilities. ...
There are various surveys on ML for specific areas in networking or for specific network technologies. ...
Acknowledgments We thank the anonymous reviewers for their insightful comments and suggestions that helped us improve the quality of the paper. ...
doi:10.1186/s13174-018-0087-2
fatcat:jvwpewceevev3n4keoswqlcacu
Travel Behavior and Demand Analysis and Prediction
[chapter]
2009
Encyclopedia of Complexity and Systems Science
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-1542 tive patterns and simulate daily schedules accounting ex-1543 plicitly for within-household interactions for entire daily 1544 patterns. ...
/JPODOCS/REPTS_PR/13669/
section05.htm
Goods movements (freight)
programs to improve operations
Highway system improvements in
traffic operations and flow
Improved data collection, monitoring, ...
doi:10.1007/978-0-387-30440-3_565
fatcat:pjaxkrlp2zfirfizvynozq27ry
Data Mining Algorithms for Smart Cities: A Bibliometric Analysis
2021
Algorithms
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Smart cities connect people and places using innovative technologies such as Data Mining (DM), Machine Learning (ML), big data, and the Internet of Things (IoT). ...
Several ML algorithms, supervised or unsupervised, are adopted for operating the instrumentation, middleware, and application layer. ...
a given kind of user, for a given day of the week [8] . ...
doi:10.3390/a14080242
fatcat:zalmt5lwhvaaflxhig44yfuw5i
FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA SCIENCE (ICAIDS-2022)
[article]
2022
Zenodo
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The dynamism of the young talent blooming in our garden is being tapped; the skills and the potentialities of its students and faculty members are being mined out and chiseled. ...
on Artificial Intelligence and Data Science (ICAIDS-2022) in association with Object Automation Software Solutions Pvt ltd, IBM, OpenPower, Onstitute and X-Scale Solutions on 4th and 5th March 2022. ...
The data flow process in face Recognition systems starts by having the ability to find faces and recognize frontal faces from data input devices like mobile phones, cameras, etc. ...
doi:10.5281/zenodo.7024997
fatcat:2v4vxqlfxbgn3dl43zr4y2d26y
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction
[article]
2021
arXiv
pre-print
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AIST models the dynamic spatio-temporal correlations for a crime category based on past crime occurrences, external features (e.g., traffic flow and point of interest (POI) information) and recurring trends ...
Accuracy and interpretability are two essential properties for a crime prediction model. ...
., traffic flow and POI information) and the recent and periodic crime trends. ...
arXiv:2012.08713v2
fatcat:2xa7ta2vonawhd7cfjemtxxpyq
Proceeding of the 2nd Deep Learning Indaba-X Ethiopia Conference 2021
2022
Ethiopian Journal of Science and Sustainable Development
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The transformation of a nation can basically be achieved through the advancement of science and technology. ...
Thus, it has made science and technology the pillar of its top priorities for transformation of the economy. ...
ACKNOWLEDGMENT We would like to acknowledge the Ethiopian central statistics for providing us the data with a data set description that was used to conduct this study. ...
doi:10.20372/ejssdastu:v0.i0.2022.412
doaj:6184f6f09a8e4521a49a11b6b41cd433
fatcat:jflueovu45aindmlhhvfv7xigy
Big Data: A Survey
2014
Journal on spesial topics in mobile networks and applications
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flow of traffic. ...
The data mining flow is described in XML and displayed through a graphic user interface (GUI). Rapid-Miner is written in Java. ...
doi:10.1007/s11036-013-0489-0
fatcat:lvnmkesqbngc3lgccms3hmm7jq
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