10 citations · 25 across the 18 of their papers we have counts for
12 papers · 1 filter
Efficient Trajectory Compression and Range Query Processing
Hongbo Yin, Hong Gao, Binghao Wang +2
Nowadays, there are ubiquitousness of GPS sensors in various devices collecting, transmitting and storing tremendous trajectory data. However, such an unprecedented scale of GPS da…
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…
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…
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…
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…
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…
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…
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…
Discovery of Paradigm Dependencies
Jizhou Sun, Jianzhong Li, Hong Gao
Missing and incorrect values often cause serious consequences. To deal with these data quality problems, a class of common employed tools are dependency rules, such as Functional D…
Similarity Search Combining Query Relaxation and Diversification
Ruoxi Shi, Hongzhi Wang, Tao Wang +2
We study the similarity search problem which aims to find the similar query results according to a set of given data and a query string. To balance the result number and result qua…
Data Source Selection for Information Integration in Big Data Era
Yiming Lin, Hongzhi Wang, Jianzhong Li +1
In Big data era, information integration often requires abundant data extracted from massive data sources. Due to a large number of data sources, data source selection plays a cruc…
Efficient Entity Resolution on Heterogeneous Records
Yiming Lin, Hongzhi Wang, Jianzhong Li +1
Entity resolution (ER) is the problem of identifying and merging records that refer to the same real-world entity. In many scenarios, raw records are stored under heterogeneous env…