44 Result(s)
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Article
A novel rule generation and activation method for extended belief rule-based system based on improved decision tree
Among many classifiers applied to classification problems, the extended belief rule-based (EBRB) system is a powerful tool with the ability to handle both qualitative and quantitative information under uncerta...
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Article
DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection
Fake news detection mainly relies on the extraction of article content features with neural networks. However, it has brought some challenges to reduce the noisy data and redundant features, and learn the long...
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Article
Long text feature extraction network with data augmentation
The spread of COVID-19 has had a serious impact on either work or the lives of people. With the decrease in physical social contacts and the rise of anxiety on the pandemic, social media has become the primary...
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Article
An intelligent deep learning-enabled recommendation algorithm for teaching music students
The existing research on data analysis and personalized recommendation algorithms for music mainly focuses on improving traditional recommendation systems such as classical collaborative filtering recommendati...
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Chapter and Conference Paper
A Proof-of-Weighted-Planned-Behavior Consensus for Efficient and Reliable Cyber-Physical Systems
Recently, blockchain was introduced into the cyber-physical systems, which provides services of privacy and trust. However, reliability and system performance issues exist when blockchain and cyber-physical sy...
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Article
Joint dictionary and graph learning for unsupervised feature selection
With the explosion of unlabelled and high-dimensional data, unsupervised feature selection has become an critical and challenging problem in machine learning. Recently, data representation based model has been...
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Chapter and Conference Paper
A Blockchain-Based Crowdsourcing System with QoS Guarantee via a Proof-of-Strategy Consensus Protocol
Crowdsourcing technology has been widely used in the online matching system, e.g., Uber and Airbnb, which provides an efficient matching service and enables a balance between service supply and demand. The cur...
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Article
Open AccessBus-OLAP: A Data Management Model for Non-on-Time Events Query Over Bus Journey Data
Increasing the on-time rate of bus service can prompt the people’s willingness to travel by bus, which is an effective measure to mitigate the city traffic congestion. Performing queries on the bus arrival can...
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Chapter and Conference Paper
A Large Scale RGB-D Dataset for Action Recognition
Human activity understanding from RGB-D data has attracted increasing attention since the first work reported in 2010. Over this period, many benchmark datasets have been created to facilitate the development ...
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Article
Trajectory Tracking Control for Quadrotor Robot Subject to Payload Variation and Wind Gust Disturbance
This work proposes a hierarchical nonlinear control scheme for quadrotor to track 3D trajectory subject to payload variation and fast time-varying wind gust disturbance. In terms of dynamics model, the 6 DOF d...
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Chapter and Conference Paper
Mining Top-k Distinguishing Sequential Patterns with Flexible Gap Constraints
Distinguishing sequential pattern (DSP) mining has been widely employed in many applications, such as building classifiers and comparing/analyzing protein families. However, in previous studies on DSP mining, ...
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Article
Mining outlying aspects on numeric data
When we are investigating an object in a data set, which itself may or may not be an outlier, can we identify unusual (i.e., outlying) aspects of the object? In this paper, we identify the novel problem of mining...
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Chapter and Conference Paper
Hierarchical Community Evolution Mining from Dynamic Networks
Research on community evolution contributes to understanding the nature of network evolution. Previous community evolution studies have two defects: (1) the algorithms do not have sufficient stability or canno...
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Chapter and Conference Paper
Mining Contrast Subspaces
In this paper, we tackle a novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes C + and C − and a query object o, we want to find t...
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Chapter and Conference Paper
Mining Frequent Closed Sequential Patterns with Non-user-defined Gap Constraints
Frequent closed sequential pattern mining plays an important role in sequence data mining and has a wide range of applications in real life, such as protein sequence analysis, financial data investigation, and...
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Article
Open AccessAgile Prediction of Ongoing Temporal Sequences Based on Dominative Random Subsequences
This paper identifies a new paradigm of prediction, Agile Prediction of ongoing temporal sequences, which achieves an acceptable accuracy just by the historical subsequences as short as possible and as close to t...
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Chapter and Conference Paper
Searching Similar Trajectories in Real Time: An Effectiveness and Efficiency Study
Searching similar trajectories in real time has been a challenging task in a large variety of location-aware applications. This paper addresses its two key issues, i.e. evaluating the similarity between two tr...
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Chapter and Conference Paper
Detection of High-Risk Zones and Potential Infected Neighbors from Infectious Disease Monitoring Data
Detecting the high-risk zones as well as potential infected geographical neighbor is necessary and important to reduce the loss caused by infectious disease. However, it is a challenging work, since the outbre...
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Article
Open AccessMining Multi-scale Intervention Rules from Time Series and Complex Network
This paper proposes the concept of intervention rule which tries to reveal the interventional relationship between elements in a system in the following three aspects. (1) Casual relationship. Intervention rul...
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Chapter and Conference Paper
Early Prediction of Temporal Sequences Based on Information Transfer
In recent years, early prediction for ongoing sequences has been more and more valuable in a large variety of time-critical applications which demand to classify an ongoing sequence in its early stage. There a...
