Big Data
8th CCF Conference, BigData 2020, Chongqing, China, October 22–24, 2020, Revised Selected Papers
Article
Hypergraph neural network (HGNN) for session-based recommendation (SBR) is quite rare but has been rewarded with promising performance. However, under the hypergraph framework, no works have emphasized the imp...
Chapter and Conference Paper
The topic and embedding models are two of the most popular categories of techniques to learn the latent semantics from text. In the topic models, each word is generated according to its global context; while i...
Article
The rise of diversified data engines has created the need for federated queries. A federated query can take a query and provide data analysis based on data from various data engines. Since the query data origi...
Article
EGFR exon 20 insertion (20ins)-positive non-small-cell lung cancer (NSCLC) is an uncommon disease with limited therapeutic options and dismal prognosis. Here we report the activity, tolerability, potential mec...
Chapter and Conference Paper
Nowadays, it is prevalent to build OLAP services on cloud platforms. Cloud OLAP adopters are eager to understand and characterize the performance of OLAP engines on the cloud. However, traditional OLAP benchma...
Article
The aim of this study is to investigate the role of calcium-sensing receptor (CaSR) in the expression of inflammatory mediators of lipopolysaccharide (LPS)-treated human dental pulp cells (hDPCs). The expressi...
Article
Decision trees have favorable properties, including interpretability, high computational efficiency, and the ability to learn from little training data. Learning a decision tree is known to be NP-complete. The...
Article
Recent reports have demonstrated that Sox9+HNF4α+ hepatocytes are involved in liver regeneration after chronic liver injury; however, little is known about the origin of Sox9+HNF4α+ hepatocytes and the regulatory...
Article
With the development of the intelligent manufacturing, a large amount of data will be generated at the edge of the network. Industrial data have unprecedented requirements for transmission speed and quality. E...
Chapter and Conference Paper
Effective feature engineering serves as a prerequisite for many machine learning tasks. Feature engineering, which usually uses a series of mathematical functions to transform the features, aims to find valua...
Article
Lipopolysaccharides (LPS), which are components of the cell wall of Gram-negative bacteria, are among the important factors that induce inflammation, including pulpitis. Autophagy in human dental pulp cells (h...
Article
Liver cancer is one of the most common malignancies in the world with a poor prognosis. Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, accounting for 80–90% of cases. The initiation...
Article
The liver possesses a powerful regeneration ability, which is correlated with the stemness of hepatocytes in the portal vein (PV). However, the mechanism underlying the maintenance of hepatocyte stemness has n...
Article
Book and Conference Proceedings
8th CCF Conference, BigData 2020, Chongqing, China, October 22–24, 2020, Revised Selected Papers
Chapter and Conference Paper
Speech classification has been widely used in many speech-related applications. However, the complexity of speech classification tasks often exceeds the scope of non-experts, the off-the-shelf speech classific...
Chapter and Conference Paper
Short texts have been prevalent in Web sites and the emerging social media for several years, which makes it a critical task to identify intelligible topics from online data sources. However, the existing topi...
Article
Epidermal growth factor receptor exon 20 insertion (EGFRex20ins) mutations represent approximately 4–12% of EGFR mutations and are generally refractory to the 1st and 2nd generation EGFR tyrosine kinase inhibi...
Book and Conference Proceedings
Article
Data partitioning is an effective way to reduce cost and improve query performance in large-scale Web data analytical applications. State-of-the-art partitioning approaches on range queries is lacking of consi...