A Comparative Study of Data Mining Algorithms for Image Classification

Thamilselvana, P; Sathiaseelan, J. G. R.

doi:10.5815/ijeme.2015.02.01

Cited by 23 publications

(19 citation statements)

References 27 publications

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“…Jmes K.H. [2] used Markovian decision process to research the integration of shippers as central logistics resources providers. Ho W. [3] applied for AHP/GP comprehensive model constructed in organic combination with AHP method and GP and combined with LINDO calculation software into logistics distribution network for integration analysis, obtaining a satisfactory integration scheme.…”

Section: Overview Of Relevant Researchmentioning

confidence: 99%

Research on Railway Logistics Resources Optimization Theory

Dai¹,

Zhao²

2019

Proceedings of the First International Symposium on Management and Social Sciences (ISMSS 2019)

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In the increasingly competitive logistics market, it is very important to scientifically, effectively and objectively evaluate the validity of integration optimization of the railway logistics resources and the core of logistics enterprises. Supported by the multidisciplinary theory, based on the method combined with theory and practice, this paper uses BP neural network algorithm to conduct empirical analysis of the core capability of China's railway logistics enterprises, and uses AHP method to prove the accuracy of results and obtain a conclusion that the core competition of China's railway is increasingly enhanced, thus providing a theoretical and practical reference for the development of China's railway logistics.

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Section: Overview Of Relevant Researchmentioning

confidence: 99%

Research on Railway Logistics Resources Optimization Theory

Dai¹,

Zhao²

2019

Proceedings of the First International Symposium on Management and Social Sciences (ISMSS 2019)

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“…According to the feedback of survey, activities such as accurate marketing and personalized service, forecasting and inventory control, cargo allocation to different distribution centers, cost analyzing, picking route optimizing and intelligent replenishment to picking area in distribution center are all rated above 3.8 in average, which means around two thirds sample companies are in need or in urgent need of Big Data to accomplish those logistics activities. Other activities are rated between 3.68 to 3.78 include distribution or transportation route planning, trucks and drivers scheduling, site selection of distribution centers, storage location allocation, value-added service design and service mode innovation [9].…”

Section: A From the Aspect Of Activitymentioning

confidence: 99%

Path Choosing of Logistics Service Upgrading Driven by Big Data

Ma¹

2019

Proceedings of the First International Symposium on Management and Social Sciences (ISMSS 2019)

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With the rapid development of Big Data technology, it strongly drives logistics service upgrading. As for logistics companies, how to choose a proper path of service upgrading by using big data is a question. This paper is trying to analyze the upgrading paths and their impact factors. Then An empirical study is made on a sample company by constructing an AHP model, which includes target layer of path choosing, criterion layer of eight impact factors and solution layer of four possible paths. According to the situation of the sample company and experts discuss, the indexes are rated and calculated. The sequence of path choosing for the sample company to upgrade its logistics service by using Big Data is concluded as a result. The paper provides a new aspect to research logistics service upgrading driven by big data. The outcome is worthy to logistics companies when choosing a service upgrading path.

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“…In the process of data processing, C2R(DS) type of the model (15) is first selected to calculate the validity coefficient of each year. These coefficients can be used to reflect the coordination validity and development validity of the railway logistics in the year.…”

Section: A Index Selection and Data Acquisitionmentioning

confidence: 99%

“…These coefficients can be used to reflect the coordination validity and development validity of the railway logistics in the year. For δ=1 in DEA model, C2GS2 (Dε) type of the model (15) is used to calculate the validity coefficient, and represent the coordination validity in a new form. The coupling validity of the logistics resource integration and optimization can be obtained through Equation (16).…”

Section: A Index Selection and Data Acquisitionmentioning

confidence: 99%

Research on Optimization and Integration of Railway Logistics Resources in China

Zhao¹

2019

Proceedings of the First International Symposium on Management and Social Sciences (ISMSS 2019)

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The optimal allocation of railway logistics resources is the current key issue confronted by China ' s railway industry. Under this background, this paper researches this issue along the route of motivation → mechanism → model → evaluation. Based on the research of internal development needs of railway logistics resources and motivation of external social needs, this paper analyzes the effect of dynamic factors generated by different resources on the logistics system, provides a direction for the optimization and integration of resources, establishes a multi-objective nonlinear programming model based on customer utility, and uses Lagrange multiplier form to explain the coupling relationship between corresponding services for customer needs and types of logistics resources. Combined with the relevant data of railway logistics in China Traffic Yearbook in 2000 to 2009 processed by DEA model, the coordination validity coefficient-Cs, development validity coefficient-Ds and comprehensiveness validity coefficient-Ss are used to represent the optimization effect of railway logistics resources in timing sequence. The research results show thatChina's railway logistics resource system is at the stage of increasing returns to scale. There is a need to take measures to strengthen resource integration and increase investment scale, so as to ensure the sustainable development of railway logistics system. Keywords-dynamic factors; integration of resources; multiplier effect; multi-objective programming; validity coefficientI.

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A Comparative Study of Data Mining Algorithms for Image Classification

Cited by 23 publications

References 27 publications

Research on Railway Logistics Resources Optimization Theory

Research on Railway Logistics Resources Optimization Theory

Path Choosing of Logistics Service Upgrading Driven by Big Data

Research on Optimization and Integration of Railway Logistics Resources in China

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