An Approach for Interesting Subgraph Mining from Web Log Data Using W-Gaston Algorithm

Jayalakshmi, N.; Padmaja, P.; Suma, G. Jaya

doi:10.1142/s0218488519500132

Cited by 5 publications

(3 citation statements)

References 27 publications

(32 reference statements)

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“…Teaching. e core of the design of the online evaluation system is the selection of knowledge base, which is a regular assembly that can mine different effective data and adopt data mining algorithm based on data entropy [12].…”

Section: Data Mining In Englishmentioning

confidence: 99%

A Mobile Terminal-Based College English Teaching Evaluation Method

Gao

2022

Mathematical Problems in Engineering

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At the moment, the existing teaching evaluation system cannot be used for wireless data input and reception, limiting the system's application scope and making it less practical. As a result, a new system for evaluating college English teaching is being developed using a mobile terminal. The English teaching quality model is constructed using the Internet of Things mobile platform, and the network teaching structure is analyzed using the model parameters to monitor and control the teaching progress. A classification and evaluation system will be established in conjunction with the campus network and intelligent sensor networking technology. The development environment and overall design of the mobile terminal are used to create an evaluation system for English teaching in an Internet of Things environment. Create the critical architecture based on the B/S model. In the section on system software design, we mine data from English teaching resources, evaluate students’ progress toward English proficiency, and use convolutional neural networks to evaluate the quality of English teaching. The teaching results are output according to the distribution of convolutional layers, allowing us to analyze the level of English instruction in colleges and universities. Comparative experiments demonstrate that this research system has a higher information query efficiency, a lower convergent error of 4 ms, and a higher evaluation accuracy for oral English, English writing, and English reading.

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Section: Data Mining In Englishmentioning

confidence: 99%

A Mobile Terminal-Based College English Teaching Evaluation Method

Gao

2022

Mathematical Problems in Engineering

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“…Reports on the effects of sub magnetic fields on microorganisms mainly focus on magnetotactic bacteria and drug resistance of common bacteria. After sub magnetic field treatment, the average size of magnetotactic bacteria AMB-1 magnetosomes increased, and the proportion of large magnetosomes increased, and the expression of magnetosome related proteins Mms6 and mmsl3 transcription levels changed [10][11]. In addition, the resting growth of the bacteria was inhibited in the sub magnetic field; The magnetic properties of cells in exponential growth period were significantly higher than those in geomagnetic control group]; Under short-term sub magnetic field treatment, the growth rate of E. coli in exponential growth period will slow down; Sub magnetic field treatment can enhance the resistance of Pseudomonas strains to ampicillin and tetracycline; And enhance the resistance of Enterobacteriaceae strains to ampicillin, kanamycin and pyridine carboxylase.…”

Section: Effect Of Sub Magnetic Field On Microorganismsmentioning

confidence: 99%

Sub Magnetic Environmental Biology based on Data Mining Algorithm

2022

AJEB

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With the development of manned space technology, the scope of human activities has expanded rapidly, and astronauts will stay in space longer and longer. Space is an extreme environment, including microgravity, cosmic radiation and sub magnetic field. There have been many reports on the effects of microgravity and cosmic rays on human body, but there are few studies on the effects of sub magnetic field on life. This paper will study and analyze the biological effect (BE) of sub magnetic environment based on data mining algorithm(DMA). Taking Chlorella as the research object, the sub magnetic field of algal cells is processed by using data mining technology, and the effects of sub magnetic field on the cell cycle and algal cell activity of Chlamydomonas reinhardtii(CR) mediated by blue light are explored. The results of the combined action of sub magnetic field and organism constitute the BE of magnetic field. Among them, the different sources of magnetic field, the size and direction of field strength, the action time, as well as the species and sensitivity of organism itself, the action position and other factors will affect the biological magnetic BE, which initially provides a reference basis for the possible BE of green algae in the process of sub magnetic field culture.

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“…It was only applied to the attributed subgraphs without weights. W-Gaston [41] was proposed to modify the support in the Gaston algorithm. e proposed interesting approach integrated the frequency, page duration, and entropy parameters to mine frequent interesting subgraphs.…”

Section: G (A)mentioning

confidence: 99%

Supergraph Topology Feature Index for Personalized Interesting Subgraph Query in Large Labeled Graphs

Shan

Jia

et al. 2021

Complexity

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Interesting subgraph query aims to find subgraphs that are isomorphic to the given query graph from a data graph and rank the subgraphs according to their interestingness scores. However, the existing subgraph query approaches are inefficient when dealing with large-scale labeled data graph. This is caused by the following problems: (i) the existing work mainly focuses on unweighted query graphs, while ignoring the impact of query constraints on query results. (ii) Excessive number of subgraph candidates or complex joins between nodes in the subgraph candidates reduce the query efficiency. To solve these problems, this paper proposes an intelligent solution. Firstly, an Isotype Structure Graph Compression (ISGC) strategy is proposed to compress similar nodes in a graph to reduce the size of the graph and avoid unnecessary matching. Then, an auxiliary data structure Supergraph Topology Feature Index (STFIndex) is designed to replace the storage of the original data graph and improve the efficiency of an online query. After that, a partition method based on Edge Label Step Value (ELSV) is proposed to partition the index logically. In addition, a novel Top-K interest subgraph query approach is proposed, which consists of the multidimensional filtering (MDF) strategy, upper bound value (UBV) (Size-c) matching, and the optimizational join (QJ) method to filter out as many false subgraph candidates as possible to achieve fast joins. We conduct experiments on real and synthetic datasets. Experimental results show that the average performance of our approach is 1.35 higher than that of the state-of-the-art approaches when the query graph is unweighted, and the average performance of our approach is 2.88 higher than that of the state-of-the-art approaches when the query graph is weighted.

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An Approach for Interesting Subgraph Mining from Web Log Data Using W-Gaston Algorithm

Cited by 5 publications

References 27 publications

A Mobile Terminal-Based College English Teaching Evaluation Method

A Mobile Terminal-Based College English Teaching Evaluation Method

Sub Magnetic Environmental Biology based on Data Mining Algorithm

Supergraph Topology Feature Index for Personalized Interesting Subgraph Query in Large Labeled Graphs

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