A unified score propagation model for web spam demotion algorithm

Xu, Z.; Zhu, Yan; Chang, Chin‐Chen; Peng, Qiang; Khurshid, Faisal

doi:10.1007/s10791-017-9307-9

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…The solution of the mechanical problem is carried out according to the time intervals used to solve the equation (1), being a series of static calculations of the equation (2). The load (F) is determined from the thermal load history [23,24].…”

Section: Mathematical Modelmentioning

confidence: 99%

Development of a Thermal Model of Welding by the Finite Element Method in Software "Bazis"

Bilenko

Khaybrakhmanov

Korobov

et al. 2023

KEM

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The paper presents a model and an algorithm for calculating the operational properties of a metal and a structure after its assembly-welding. The model is based on the equations of non-stationary thermal conductivity and mechanical equilibrium, as well as the analysis of structural-phase transformations using thermokinetic diagrams. It is implemented in the original BAZIS software package. Validation of software was carried out when calculating thermal fields and deformations as applied to arc welding, arc deposition, and laser welding of standard joints.

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Section: Mathematical Modelmentioning

confidence: 99%

Development of a Thermal Model of Welding by the Finite Element Method in Software "Bazis"

Bilenko

Khaybrakhmanov

Korobov

et al. 2023

KEM

View full text Add to dashboard Cite

show abstract

“…Makkar et al 27 presented a cognitive spammer framework that removes spam pages when search engines calculate the webpage rank score. Zhuang et al 28 proposed a unified score propagation model USPM for web spam demotion, which abstracts the score propagation process of relevant models with a forward score propagation function and a backward score propagation function. Two web spam demotion algorithms named supervised forward and backward score ranking (SFBR) and unsupervised forward and backward score ranking are developed on the basis of the proposed model.…”

Section: Related Workmentioning

confidence: 99%

Adaptive evaluation model of web spam based on link relation

Wang

Han

Zhou

et al. 2020

Trans Emerging Tel Tech

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The credibility evaluation of web pages is an important part of current network information mining. Generally, content‐based evaluation and link relationship‐based evaluation are used to detect web spam. This paper proposes an algorithm based on link relationship which adjusts the weight of the link object according to the credibility of the link object to calculate the credibility of the web page. Considering the different linking conditions, (i) low‐scoring web pages actively linking to high‐scoring web pages, resulting in the reduction of high‐scoring web pages score; (ii) in order to endorse the low‐score web page, high‐score web pages actively linking to the low‐score web pages, adjust the score transmission. Obviously, the proposed algorithm is a recursive model. To avoid the amplification of the error caused by the loop and different evaluation results caused by different initial nodes, this paper presents a novel method to adaptively adjust the weights of the links according to the link conditions, then proves the convergence of the algorithm. Finally, we validate the proposed algorithm on the public datasets, which is compared with other up‐to‐date algorithms under different experimental indexes. The results show that the proposed algorithm can effectively reduce the ranks of spam pages in all web pages and improve the detection efficiency of spam pages.

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“…al. [12] performed spam detection using Naive Bayes approach to predict the software defects. L. Jiang et.…”

Section: Releated Workmentioning

confidence: 99%

Building Intelligent Conveyor System using classification techniques in a logistics Industry

2019

ijeat

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 Abstract: Machine learning techniques plays an important role in knowledge discovery and assists humans in decision making. They help to detect patterns and predict the actions/outcome. In a complex industrial environment mode of operations of a machine depends on various internal and external parameters which are often done using expert judgement method which is not accurate and results in machine breakdown thereby resulting in unplanned outage. In this paper, we discussed and demonstrated how machine learning algorithms can help to handle conveyor systems autonomously in an optimum way without any human intervention. A conveyor belt system operational data is used to select the appropriate classification technique for the selected dataset. The details of the dataset collected, algorithms used and the test results are discussed in this paper.

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A unified score propagation model for web spam demotion algorithm

Cited by 6 publications

References 15 publications

Development of a Thermal Model of Welding by the Finite Element Method in Software "Bazis"

Development of a Thermal Model of Welding by the Finite Element Method in Software "Bazis"

Adaptive evaluation model of web spam based on link relation

Building Intelligent Conveyor System using classification techniques in a logistics Industry

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