# Typical short-term remedy knowledge mining for product quality problem-solving based on bipartite graph clustering

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/typical-short-term-remedy-knowledge-mining-for-product-quality-problem-solving/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhaoguang Xu,Yanzhong Dang,Zhongzhao Zhang,Jingfeng Chen |
| Citations | 13 |
| DOI | 10.1016/j.compind.2020.103277 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3037118671 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Zhaoguang Xu](https://scholariq.org/researchers/zhaoguang-xu/)

## Paper journal

- [Computers in Industry](https://scholariq.org/journals/computers-in-industry/)

## Paper primary topic

- [Rough Sets and Fuzzy Logic](https://scholariq.org/topics/rough-sets-and-fuzzy-logic/)

## Paper topics

- [Rough Sets and Fuzzy Logic](https://scholariq.org/topics/rough-sets-and-fuzzy-logic/)
- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.