Big Data and Data Mining Technologies Application at Road Transport Logistics

Mitroshin, P. A.; Shitova, Yulia; Shitov, Yury; Vlasov, D. N.; Mitroshin, Anton

doi:10.1016/j.trpro.2022.01.075

Cited by 13 publications

(5 citation statements)

References 3 publications

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“…According to Turban (2010), data is a basic description of objects, events, activities, and incidents that are recorded, grouped, and recorded but not organized to convey a specific meaning. [22] According to Inmon (2005), data is a collection of facts, concepts, or instructions stored, used for communication, repair, and automatic processing, and is information that people can understand. Based on this theory, it can be concluded that data is a description of an object, event, activity, and event that has been recorded, grouped, and stored in bulk and not processed into information [23].…”

Section: Data In Library Servicesmentioning

confidence: 99%

Utilization of Big Data in Libraries by Using Data Mining

Niham,

Elle,

Yuriah

et al. 2023

IJCITSM

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This article analyzes extensive data libraries and how they benefit when completed. This research has results, namely library data can be called big data if the data fulfills the three characteristics of big data: volume, speed, and variety. Data mining can process big data, for example, by associations that create links between objects. If an extensive data library contains borrowed data, this means being able to establish connections between borrowed collections. Librarians, in particular, can use the results of this comprehensive data work to decide how to proceed. Therefore, it is essential to play a role in improving the library. This research aims to increase discussion between readers and librarians about using Big Data, especially in libraries. The benefit of this research is to broaden the knowledge of readers and librarians about how to utilize big data. The research method used is library research which analyzes writings from various sources.

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Section: Data In Library Servicesmentioning

confidence: 99%

Utilization of Big Data in Libraries by Using Data Mining

Niham,

Elle,

Yuriah

et al. 2023

IJCITSM

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“…As studied by Hurtado et al, big data can also be applied in e-commerce distribution to allow for predictive product distribution planning [26]. Mitroshin et al [25] make a prediction model for road transport logistics by putting together statistics about traffic at a certain time, weather, and traffic accidents.…”

Section: Logistics and Transportationmentioning

confidence: 99%

Big Data in Supply Chain Management: A Systematic Literature Review

Runtuk

Sidjabat

Jsslynn

et al. 2022

Green Intell. Syst. Appl.

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Big data analytics (BDA) have the potential to improve upon and change conventional supply chain management (SCM) techniques. Using BDA, organisations need to build the necessary skills to use big data effectively. Since BDA is relatively new and has few practical applications in SCM and logistics, a systematic review is needed to emphasise the most significant advancements in current research. The objectives are to evaluate and categorise the literature that addresses the big data potential in SCM and the current practises of big data in SCM. The Systematic Literature Review (SLR) was conducted to analyse several published papers between 2017 and 2022. It follows four steps: the literature collection, descriptive analysis, category selection, and material evaluation in a systematic review. The finding reveals that BDA has been applied in many supply chain functions. Furthermore, integrating BDA in SCM has several advantages, including improved data analytics capabilities, logistical operation efficiency, supply chain and logistics sustainability, and agility. Finally, the study emphasises the importance of using BDA to support the success of SCM in businesses.

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“…With the development of computer networks, the use of computer networks to process data is one of the most commonly used methods [18][19][20][21][22]. Mitroshin et al [23] analysed the research related to big data and data mining in logistics. The problem of collecting, analysing and interpreting the workload data of the Moscow region's transportation system is considered, and finally the application prospects of modern transportation companies and government agencies in the planning of transportation infrastructure construction are prospected.…”

Section: Introductionmentioning

confidence: 99%

RFID-based logistics big data asset evaluation and data mining research

Li,

Mu,

2023

Applied Mathematics and Nonlinear Sciences

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With the rapid rise of e-commerce platforms, in view of the sharp increase in the amount of data in the logistics system, the timely update and processing of relevant logistics information data have assumed a particular relevance. In this paper, we fully draw on the excellent performance of radio frequency identification (RFID) technology and data mining technology, begin by using RFID technology to authenticate logistics commodities, move on to extracting relevant feature information and finally carry out a detailed comparison between k-nearest neighbour algorithm, support vector machine (SVM) algorithm, logistic regression (LR) algorithm and improved LR algorithm. The algorithm provides a solution method for asset information collection channel and data mining classification algorithm. It meets the needs of different customers, and provides a variety of working modes, which helps to improve the time and operation efficiency of data processing algorithms. The results show that the SVM algorithm only achieves 93.8% accuracy when iterating 50 times for the classification results of the classification samples containing the objective functions of x 1 and x 2. The improved LR algorithm stochastic gradient descent algorithm has a classification accuracy of 94.6% after 50 iterations. The RFID-based logistics big data asset evaluation and data mining research identification algorithm has obvious advantages, and the accuracy rate reaches 97.3%.

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Big Data and Data Mining Technologies Application at Road Transport Logistics

Cited by 13 publications

References 3 publications

Utilization of Big Data in Libraries by Using Data Mining

Utilization of Big Data in Libraries by Using Data Mining

Big Data in Supply Chain Management: A Systematic Literature Review

RFID-based logistics big data asset evaluation and data mining research

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