activity
20132020
most citedImpacts of Dirty Data: and Experimental Evaluation

10 citations · 25 across the 18 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.DB2018★ 1 cited

On the Fairness of Quality-based Data Markets

Dan Zhang, Hongzhi Wang, Xiaoou Ding +3

For data pricing, data quality is a factor that must be considered. To keep the fairness of data market from the aspect of data quality, we proposed a fair data market that conside…

cs.DB2018

Mining CFD Rules on Big Data

Hongzhi Wang, Mingda Li, Jiawei Zhao +2

Current conditional functional dependencies (CFDs) discovery algorithms always need a well-prepared training data set. This makes them difficult to be applied on large datasets whi…

cs.DB2018★ 1 cited

Schema Integration on Massive Data Sources

Tianbao Lia, Hongzhi Wang, Jianzhong Li +1

As the fundamental phrase of collecting and analyzing data, data integration is used in many applications, such as data cleaning, bioinformatics and pattern recognition. In big dat…

cs.DB2018

Diversification on Big Data in Query Processing

Meifan Zhang, Hongzhi Wang, Jianzhong Li +1

Recently, in the area of big data, some popular applications such as web search engines and recommendation systems, face the problem to diversify results during query processing. I…

cs.DB2018★ 1 cited

Improve3C: Data Cleaning on Consistency and Completeness with Currency

Xiaoou Ding, Hongzhi Wang, Jiaxuan Su +2

Data quality plays a key role in big data management today. With the explosive growth of data from a variety of sources, the quality of data is faced with multiple problems. Motiva…

cs.DB2018

MISS: Finding Optimal Sample Sizes for Approximate Analytics

Xuebin Su, Hongzhi Wang, Jianzhong Li +1

Nowadays, sampling-based Approximate Query Processing (AQP) is widely regarded as a promising way to achieve interactivity in big data analytics. To build such an AQP system, findi…

cs.DB2018★ 10 cited

Impacts of Dirty Data: and Experimental Evaluation

Zhixin Qi, Hongzhi Wang, Jianzhong Li +1

Data quality issues have attracted widespread attention due to the negative impacts of dirty data on data mining and machine learning results. The relationship between data quality…