ICBDR

In order to be able to quickly and easily discover the root-cause of data when fluctuation occurs, this paper introduces an Adtributor algorithm based on the explanatory power and surprise value, and it is selected from the forecast value compared with, ...

Data security is a severe challenges in the era of Internet. The traditional K-means clustering algorithm can protect the data security properly when it is applied in the field of information security, but the accuracy and availability of its clustering ...

In the existing data mining technology, there are some shortcomings in association rule mining methods. In this paper, aiming at the problem that the mining efficiency of Apriori algorithm is not high when dealing with large database, the genetic ...

Distributed networks and real-time systems are becoming the most important components for the new computer age – the Internet of Things (IoT), with huge data streams generated from sensors and data sets generated from existing legacy systems. The data ...

Better knowledge of learning trajectories contributes to better assertive interventions during learning. New technological opportunities contribute to a better understanding of these trajectories and represent benefits for the design of tools that ...

Aiming at the problem of short-term traffic flow prediction, on the basis of considering the dynamic change of traffic flow diffusion, this paper proposes a spatio-temporal prediction model that integrates multiple-auxiliary information, and carries out ...

Quantitative investment has emerged a new trend in the advance of artificial intelligence during recent years. Artificial intelligence algorithms have been widely used in stock selection. In this paper, China's stock data, including opening price and ...

In recent years, the popularity of the Internet makes the public more inclined to online shopping, which breaks through the limitation of time and region. There are many kinds of online goods, which make the platform users have to spend a lot of energy ...

Foodborne Disease (FBD) is the most common disease around the world. Based on the surveillance data of FBD in Zhejiang Province from Jan 1, 2013 to Dec 31, 2015, including 26721 illness cases, 1591 hospitalizations and 6 deaths. We conducted exploratory ...

Hertzsprung-Russell diagram (HRD) is an important tool in stellar astronomy, and it is of great significance to study the evolution of stars. With the continuous increase of astronomical big data, the generation speed of HRD is getting slower and ...

This research aims to figure out the best hyperparameter-selection acquisition functions on the specific neural network model. Three Bayesian optimization approaches are discussed in the paper, including Bayesian and Local Optimization Sample-wise ...

The employees of any organization, institute or industry, spend a significant amount of time on computer network, where they develop their own routine of activities in the form of network transactions over a time period. Insider threat detection ...

With the exponential growth of data, it becomes more and more difficult to quickly obtain valuable information from massive amounts of data. Clicking and browsing of such non-scoring implicit data has also attracted more and more attention from ...

Accurate diagnosis of breast cancer lesions from whole slide images (WSIs) is crucial for pathologist, since the results are associated with a certain status of breast cancer development. Until now, it is not yet possible to detect all of the cancerous ...

The captcha is a Turing test used to distinguish between machines and humans. It is considered as the verification code for the security on many websites. In recent years, deep learning has been widely used in the related field such as data analysis and ...

As an important application of big data technology in the maritime field, big data driven visualization of ship encounter patterns helps to intuitively understand the risk situation in the water traffic. However traditional methods based on fixed ...

The research of face recognition is one of the hot topics of computer vision. Recent models based on deep learning are very useful in many image processing problems. However, there are few researches on face recognition in art works. Based on the face ...

The analysis of stellar spectrogram is an important subject in astronomy nowadays. Many astronomical researches need to analyze, mine and extract information from stellar spectrogram to obtain the physical parameters of celestial bodies. Different from ...