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Approximate Query Processing for Group-By Queries based on Conditional Generative Models
The Group-By query is an important kind of query, which is common and wi...
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A Dual-Store Structure for Knowledge Graphs
To effectively manage increasing knowledge graphs in various domains, a ...
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Multi-SQL: An extensible multi-model data query language
Big data management aims to establish data hubs that support data in mul...
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Efficient RDF Graph Storage based on Reinforcement Learning
Knowledge graph is an important cornerstone of artificial intelligence. ...
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Musings about Constructions of Efficient Latin Hypercube Designs with Flexible Run-sizes
Efficient Latin hypercube designs (LHDs), including maximin distance LHD...
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Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
In recent years, many spatial-temporal graph convolutional network (STGC...
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EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective
Knowledge graph completion aims to predict the new links in given entiti...
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Automatic Storage Structure Selection for hybrid Workload
In the use of database systems, the design of the storage engine and dat...
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Reachability Queries with Label and Substructure Constraints on Knowledge Graphs
Since knowledge graphs (KGs) describe and model the relationships betwee...
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Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network
The great amount of datasets generated by various data sources have pose...
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Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation
The search space of neural architecture search (NAS) for convolutional n...
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Index Selection for NoSQL Database with Deep Reinforcement Learning
We propose a new approach of NoSQL database index selection. For differe...
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Efficient Semi-External Depth-First Search
Computing Depth-First Search (DFS) results, i.e. depth-first order or DF...
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Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation
The Pancreatic beta cell is an important target in diabetes research. Fo...
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ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence
In this demo, we present ConsciousControlFlow(CCF), a prototype system t...
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LAQP: Learning-based Approximate Query Processing
Querying on big data is a challenging task due to the rapid growth of da...
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Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters
Machine learning algorithms have made remarkable achievements in the fie...
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ExperienceThinking: Hyperparameter Optimization with Budget Constraints
The problem of hyperparameter optimization exists widely in the real lif...
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Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem
In many fields, a mass of algorithms with completely different hyperpara...
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Automatic Weighted Matching Rectifying Rule Discovery for Data Repairing
Data repairing is a key problem in data cleaning which aims to uncover a...
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A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics
In industrial data analytics, one of the fundamental problems is to util...
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Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation
Time series prediction with missing values is an important problem of ti...
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LSTM-based Flow Prediction
In this paper, a method of prediction on continuous time series variable...
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Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays
Central venous catheters (CVCs) are commonly used in critical care setti...
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Regular Expression Matching on billion-nodes Graphs
In many applications, it is necessary to retrieve pairs of vertices with...
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GPU-based Efficient Join Algorithms on Hadoop
The growing data has brought tremendous pressure for query processing an...
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Error Detection in a Large-Scale Lexical Taxonomy
Knowledge base (KB) is an important aspect in artificial intelligence. O...
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On the Fairness of Quality-based Data Markets
For data pricing, data quality is a factor that must be considered. To k...
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Mining CFD Rules on Big Data
Current conditional functional dependencies (CFDs) discovery algorithms ...
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Schema Integration on Massive Data Sources
As the fundamental phrase of collecting and analyzing data, data integra...
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Predicting Learning Status in MOOCs using LSTM
Real-time and open online course resources of MOOCs have attracted a lar...
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Diversification on Big Data in Query Processing
Recently, in the area of big data, some popular applications such as web...
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Improve3C: Data Cleaning on Consistency and Completeness with Currency
Data quality plays a key role in big data management today. With the exp...
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MISS: Finding Optimal Sample Sizes for Approximate Analytics
Nowadays, sampling-based Approximate Query Processing (AQP) is widely re...
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Impacts of Dirty Data: and Experimental Evaluation
Data quality issues have attracted widespread attention due to the negat...
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Hierarchical Siamese Network for Thermal Infrared Object Tracking
Most thermal infrared (TIR) tracking methods are discriminative, which t...
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An Iterative Scheme for Leverage-based Approximate Aggregation
Currently data explosion poses great challenges to approximate aggregati...
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