12 citations · 68 across the 49 of their papers we have counts for
29 papers · 1 filter
Dynamic Relation Repairing for Knowledge Enhancement
Rui Kang, Hongzhi Wang
Dynamic relation repair aims to efficiently validate and repair the instances for knowledge graph enhancement (KGE), where KGE captures missing relations from unstructured data and…
Experience-Enhanced Learning: One Size Still does not Fit All in Automatic Database
Yu Yan, Hongzhi Wang, Jian Ma +2
Recent years, the database committee has attempted to develop automatic database management systems. Although some researches show that the applying AI to data management is a sign…
Approximate Query Processing for Group-By Queries based on Conditional Generative Models
Meifan Zhang, Hongzhi Wang
The Group-By query is an important kind of query, which is common and widely used in data warehouses, data analytics, and data visualization. Approximate query processing is an eff…
Misplaced Subsequences Repairing with Application to Multivariate Industrial Time Series Data
Xiaoou Ding, Hongzhi Wang, Jiaxuan Su +1
Both the volume and the collection velocity of time series generated by monitoring sensors are increasing in the Internet of Things (IoT). Data management and analysis requires hig…
Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data
Xiaoou Ding, Hongzhi Wang, Chen Wang +2
The demand for high-performance anomaly detection techniques of IoT data becomes urgent, especially in industry field. The anomaly identification and explanation in time series dat…
A Dual-Store Structure for Knowledge Graphs
Zhixin Qi, Hongzhi Wang, Haoran Zhang
To effectively manage increasing knowledge graphs in various domains, a hot research topic, knowledge graph storage management, has emerged. Existing methods are classified to rela…
Multi-SQL: An extensible multi-model data query language
Yu Yan, Nan Jiang, Hongzhi Wang +3
Big data management aims to establish data hubs that support data in multiple models and types in an all-around way. Thus, the multi-model database system is a promising architectu…
Efficient RDF Graph Storage based on Reinforcement Learning
Lei Zheng, Ziming Shen, Hongzhi Wang
Knowledge graph is an important cornerstone of artificial intelligence. The construction and release of large-scale knowledge graphs in various fields pose new challenges to knowle…
Automatic Storage Structure Selection for hybrid Workload
Hongzhi Wang, Yan Wei, Hao Yan
In the use of database systems, the design of the storage engine and data model directly affects the performance of the database when performing queries. Therefore, the users of th…
Reachability Queries with Label and Substructure Constraints on Knowledge Graphs
Xiaolong Wan, Hongzhi Wang
Since knowledge graphs (KGs) describe and model the relationships between entities and concepts in the real world, reasoning on KGs often correspond to the reachability queries wit…
Index Selection for NoSQL Database with Deep Reinforcement Learning
Shun Yao, Hongzhi Wang, Yu Yan
We propose a new approach of NoSQL database index selection. For different workloads, we select different indexes and their different parameters to optimize the database performanc…
Efficient Semi-External Depth-First Search
Xiaolong Wan, Hongzhi Wang
As the sizes of graphs grow rapidly, currently many real-world graphs can hardly be loaded in the main memory. It becomes a hot topic to compute depth-first search (DFS) results, i…
LAQP: Learning-based Approximate Query Processing
Meifan Zhang, Hongzhi Wang
Querying on big data is a challenging task due to the rapid growth of data amount. Approximate query processing (AQP) is a way to meet the requirement of fast response. In this pap…
Automatic Weighted Matching Rectifying Rule Discovery for Data Repairing
Hiba Abu Ahmad, Hongzhi Wang
Data repairing is a key problem in data cleaning which aims to uncover and rectify data errors. Traditional methods depend on data dependencies to check the existence of errors in…
Regular Expression Matching on billion-nodes Graphs
Hongzhi Wang, Jiabao Han, Bin Shao +1
In many applications, it is necessary to retrieve pairs of vertices with the path between them satisfying certain constraints, since regular expression is a powerful tool to descri…
GPU-based Efficient Join Algorithms on Hadoop
Hongzhi Wang, Ning Li, Zheng Wang +1
The growing data has brought tremendous pressure for query processing and storage, so there are many studies that focus on using GPU to accelerate join operation, which is one of t…
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…
An Iterative Scheme for Leverage-based Approximate Aggregation
Shanshan Han, Hongzhi Wang, Jialin Wan +1
The current data explosion poses great challenges to the approximate aggregation with an efficiency and accuracy. To address this problem, we propose a novel approach to calculate…