期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (5)
When acquiring labels from crowdsourcing platforms, a task may be designed to include multiple labels and the values of each label may belong to a set......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (5)
Predicting the popularity of a single tweet is useful for both users and enterprises. However, adopting existing topic or event prediction models cann......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (6)
Different from previous imputation methods which impute missing values in the incomplete samples by using the information in the complete samples, thi......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (5)
How to integrate multimodal information sources for face naming in multimodal news is a hot and yet challenging problem. A novel deep cross-modal face......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (5)
Semi-supervised cluster ensemble usually introduces a small amount of supervision in the first stage of cluster ensemble, i.e., ensemble generation, b......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (6)
The most fundamental task of network representation learning (NRL) is nodes classification which requires an algorithm to map nodes to vectors and use......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (7)
The sizes of datasets in terms of the number of samples, features, and classes have dramatically increased in recent years. In particular, there usual......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (9)
Publishing datasets plays an essential role in open data research and promoting transparency of government agencies. However, such data publication mi......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (6)
Database queries can contain multiple predicates. The optimization of conjunctive predicates is still vital to the overall performance of analytic dat......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (8)
Graph representation learning aims to embed each vertex in a graph into a low-dimensional vector space. Existing graph representation learning methods......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (9)
Distant supervision is widely used to extract relational facts with automatically labeled datasets to reduce high cost of human annotation. However, c......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (9)
Due to the growing popularity of indoor location-based services, indoor data management has received significant research attention in the past few ye......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (5)
Collective classification has attracted considerable attention in the last decade, where the labels within a group of instances are correlated and sho......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (5)
The state-of-the-art techniques for aspect-level sentiment analysis focused on feature modeling using a variety of deep neural networks (DNN). Unfortu......
期刊： IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021; 33 (5)
Automatic recommendation has become an increasingly relevant problem to industries, which allows users to discover new items that match their tastes a......
