ICBDC

In this paper we present a new Golang based framework for distributed intensive data processing and also micro batching. It uses a novel approach, the persistent distributed channels, based on the concept of Share memory by communicating, and inspired ...

In order to improve the efficiency of locomotive organization and the quality of locomotive operation, this paper analyzes and discusses the big data platform and some key technologies suitable for the big data application of the railway locomotive ...

In this paper, we describe a proof-of-concept (PoC) methodology to understand consumer behavior and spending pattern via visualization analysis in a custom-made smart space laboratory. This laboratory simulates the real-world shopping environment, ...

By collecting the data of the process of the clothing support, a big data analysis and mining tool set based on the business entity of the clothing support is built, which supports the typical data mining methods such as classification analysis, ...

In as much as the approaches of the new revolution, machines including transmission media like social media sites, nowadays quantity of data swell hastily. So, size is the core and only facet that leaps the mention of BIG DATA. In this article, an ...

Anomaly detection is one of the key issues in the domain of unsupervised machine learning gaining importance in diverse research and application areas. In the presented work, we aim to compare a specifically developed statistical method with a generic ...

To quickly identify bursty events that are emerging and developing in their early stages is important for our emergency response and public security. Daily news and social media are two major channels for people to contact with the world, thus become ...

Taking the course selection system of South china Institute of Software Engineering of Guangzhou University as an example, the underlying data interaction technology of the system and its advantages and disadvantages are analyzed, and an optimization ...

Oil consumption prediction is a pre calculation of the amount of oil consumed in a certain period of time or when completing a certain task. It is the basis of wartime oil service organization plan and an important work of wartime oil departments. The ...

In this research, we present an algorithm-optimized car-following model to describe the overall effect on the Chengdu ring expressway (National Expressway G4202) in China from May to October, 2019, based on dynamic data observed from our intelligent ...

Nowadays the more and more customers start to select and use the composite Web service on Internet, at the same time the services with the same functional properties but the different non-functional properties are increasingly emerging on Internet, ...

In recent years, research on location prediction and recommendation of mobile users has attracted wide attention. To the best of our knowledge, many relevant studies are based on users' check-in dataset which suffer from the data sparsity. Some studies ...

In this paper, a novel architecture is proposed to classify website essays to two classes, "acception" or "need-improvement", and at the same time mark the key text fragment that influence the final prediction. All essays come from an important popular ...

Trajectory recovery can benefit many applications such as migration pattern studies of animal and finding hot routes in the urban city. It is necessary to recover trajectory with limited trajectory points to utilize collected trajectory data in a ...

Heart disease is one of the leading cause deaths of worldwide. Prediction of cardiovascular infection is a critical challenge in the area of clinical data analysis. Data mining techniques are providing an effective decision and significant results on ...

The performance of text classification largely hinges on features extraction from text through representation learning. Recently, many deep learning models have been proved to be the state-of-the-art method for text classification. However, those ...

Although the appearance of the control chart can help people visually observe the quality variation in the production process of lithium batteries, the impact of the variation on the battery quality cannot be directly known. How to use the data mining ...

The amount of training data or knowledge determines the precision of Knowledge Graph Completion (KGC), since traditional methods require as much training data as possible for model training or embedding to ensure the accurate expression of the knowledge ...

Recently, the need for real-time deep learning applications, such as face recognition system, implement on the embedded devices is increasing. At the system level, caching system is one of the most effective ways to reduce response time. However, ...

With the rapid development of cloud computing in recent years, how to improve the system's concurrency capabilities has become increasingly important. SW26010 is a heterogeneous many-core processor used to build the Sunway TaihuLight supercomputer. ...

With the widespread application of vehicle GPS equipment, more and more trajectory data are becoming available. Traditional research on trajectory-based route planning uses trajectory data to build a weighted graph, and then obtains routes using classic ...