BDE

Mining high utility co-location patterns (HUCP) is a promising technique in spatial data mining because it treats different features with different levels of importance. Existing HUCP mining (HUCPM) algorithms are based on row instances and table ...

The advent of the Bitcoin system has brought another boom in the Internet era. In a very short time, many Blockchain systems come into being successively, whose decentration, consensus mechanisms, intelligent contract, and other characteristics make them ...

[Purpose / Significance] In the era of big data, Internet information security is the engine and motive force driving the steady progress of society. In order to speed up the theoretical innovation of Internet information security and promote the ...

With the rapid development of big data mining technology in the Chinese commercial field, the news topic prediction becomes increasingly important. Since the accuracy of Chinese news topic classification can directly affect the personalized ...

In this paper, we try to find the differentially expressed lncRNA and differentially expressed miRNA of Liver cancer, especially between the different gender's patients. The differentially expressed genes were screened from TCGA liver data. Based on the ...

Accurately segmenting brain tumors in Magnetic Resonance Imaging (MRI) volume can benefit the diagnosis, monitoring, and surgery planning of the disease. Manual delineation practices require anatomical knowledge, are expensive, time consuming and can be ...

Nowadays, in high-density cities, the full and reasonable use of public space has become an important research topic. This paper applies the population heat data analysis and intelligent image analysis technology to investigate the pedestrian activities ...

Lung cancer is the leading cause of cancer-related death worldwide. Due to the difficulty of artificial extraction of medical image features and the development of artificial intelligence in the field of medical image, various deep learning methods for ...

With the widespread use of digital imaging data, the size of image collections about Bronze Inscriptions rubbing is increasing rapidly. It becomes difficult to manage and query a specific image from these large databases, which motivates the need for ...

In the contemporary era of information explosion, all kinds of false and misleading information are flooding our lives, which often impact politics and even our real world. How to detect these potential fake news from massive news texts is of great ...

From the past Olympic medal lists, we can find that the number of medals of China has been increasing steadily in recent years while we also observe that some countries always occupy the top positions of the Olympic medal list, such as the United States, ...

To improve the classification efficiency of personnel nationality information, the classification method of personnel nationality information is explored. First, a new classification method is proposed using the Keras model and deep learning theory. Two ...

Demographic attributes play an important role in adjusting the market strategy of film companies and customizing recommendation for their user. However, it's difficult to obtain full information of demographic attributes of online user and previous work ...

In this paper, we propose an approach to assess the ability of developers based on their behavior data from OSS. Specifically, we classify developers' ability into code ability, project management ability, and social ability. Code efficiency is related ...

The study aims to construct an effective early warning system (EWS) to predict the crisis triggered turbulence in Chinese bond market by integrating the volatility regime switching model, SWARCH, to improve the crisis classifying precision, and the ...

The need for classifying tweets is essential for many people like tourists, tourism companies and governments. In this paper, we propose a framework for Arabic Tweets multi-label classification using word embedding technique and deep leering algorithms. ...

Machine reading comprehension, as one of the core tasks of natural language processing, has been a research focus in this field. This paper is mainly aimed at Dureader, a Chinese-oriented multi-document reading comprehension task dataset, and an end-to-...

Modern creatives, producing different media within multiple mediums, could benefit from transmedia-based methodologies that ensure core standards in effective interface design and storyboarding adopted in the production of creative works. This is ...

As the new retail has come, a lot of retailers try to make a digital transformation. The new retail begins with the development of an online to offline (O2O) mechanism to extend their online e-commerce to offline retailers. Nowadays, leading new retail ...

Starting in December 2019, Wuhan, China, the first round of outbreak of coronavirus, which began to transmission rapidly in urban Wuhan and extended all around Hubei Province within a short period. The Chinese government took active anti-pandemic ...