69 Result(s)
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Chapter and Conference Paper
Fast Weighted Sequential Pattern Mining
In the real world, ordered sequence data is commonly seen, and sequence analysis plays an important role in a wide range of real applications, such as market basket analysis. The weight concept helps to find m...
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Chapter and Conference Paper
A Novel Spectral Ensemble Clustering Algorithm Based on Social Group Migratory Behavior and Emotional Preference
Clustering is an unsupervised machine learning technique for data mining to find objects with similar characteristics in a group. However, due to the lack of relevant prior information on the data, numerous si...
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Chapter and Conference Paper
How Metacognitive Monitoring Feedback Influences Workload in a Location-Based Augmented Reality Environment
This research aims to investigate the impact on workload caused by metacognitive monitoring feedback (MCMF) in a location-based augmented reality (AR) learning environment. MCMF helps learners to monitor and c...
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Chapter and Conference Paper
Complex Task Allocation in Spatial Crowdsourcing: A Task Graph Perspective
In this paper, we study a novel spatial crowdsourcing scenario, where a complex outsourced task is divided into a group of subtasks with dependency relationships. Under this scenario, we investigate a Task Graph
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Chapter and Conference Paper
Different Patterns of Medication Administration Between Inside and Outside the Patient Room Using Electronic Medical Record Log Data
The primary object of this study is to analyze the different patterns of medication administration in a medical intensive care unit (MICU) using an electronic medical record (EMR) log data and how these patter...
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Article
A New ExtendFace Representation Method for Face Recognition
Many traditional face recognition methods based on Fisher discriminant analysis and locally graph embedding are proposed for dimensional reduction in nonlinear data. However, these methods are not effective by...
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Chapter and Conference Paper
Research on OTFS Performance Based on Joint-Sparse Fast Time-Varying Channel Estimation
Contraposing the problem of high pilot overhead and poor estimation performance for OFDM system in fast time-varying channels, a novel channel estimation method based on joint-sparse basis expansion model is p...
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Chapter and Conference Paper
Over-Smoothing Algorithm and Its Application to GCN Semi-supervised Classification
The feature information of the local graph structure and the nodes may be over-smoothing due to the large number of encodings, which causes the node characterization to converge to one or several values. In ot...
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Article
Well-being of residents in old residential quarters based on multi-sorted Logit model
According to the grounded theory, taking the residents of the old residential quarters as the research object, In-depth interviews with the residents are conducted and influences of the residents’ subjectivity...
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Chapter and Conference Paper
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
In recent years, bike-sharing systems have been deployed in many cities, which provide an economical lifestyle. With the prevalence of bike-sharing systems, a lot of companies join the market, leading to incre...
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Chapter and Conference Paper
A Multi-objective Optimization Approach for Influence Maximization in Social Networks
Influence maximization (IM) is to select a set of seed nodes in a social network that maximizes the influence spread. The scalability of IM is a key factor in large scale online social networks. Most of existi...
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Chapter and Conference Paper
A Transfer Learning Method for Aircrafts Recognition
An effective method for recognizing aircrafts with different resolutions is proposed. Since training aircraft samples and test aircraft samples are imaging in different resolutions, different satellites and di...
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Chapter and Conference Paper
Legal Case Inspection: An Analogy-Based Approach to Judgment Evaluation
In the era of big data, enormous growth of various legal data leads to a huge burden on law professionals, which lies in the contradiction between the increasing number of legal cases and the shortage of judi...
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Chapter and Conference Paper
Humanoid Robot Control Based on Deep Learning
The direct control of humanoid robot by human motion is an important aspect of current research. Most of these methods are based on additional equipments, such as Kinect, which are usually not equipped on robo...
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Chapter and Conference Paper
Parking Availability Prediction with Long Short Term Memory Model
Traffic congestion causes heavily energy consumption, carbon dioxide emission and air pollution in cities, which is usually created by cars searching on-street parking spaces. Drivers are likely to move slowly...
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Chapter and Conference Paper
Talents Recommendation with Multi-Aspect Preference Learning
Discovering talents has always been a crucial mission in recruitment and applicant selection program. Traditionally, hunting and identifying the best candidate for a particular job is executed by specialists ...
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Chapter and Conference Paper
Large-Scale Semantic Data Management For Urban Computing Applications
Due to the current lack of effectiveness on perception, management, and coordination for urban computing applications, a great number of semantic data has not yet been fully exploited and utilized, decreasing...
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Chapter and Conference Paper
Secure, Efficient and Searchable File System on Distributed Clouds
Many enterprises and personals are inclining to outsource their data to public clouds, but security and privacy are two critical problems cannot be ignored. The door of cloud provider may be broken, and the da...
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Article
CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data
Traveling is one of the most important entertainments in the modern society. In general, before traveling to an unfamiliar city, one of the possible ways of travel planning is to search travel information from...
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Article
FreeSense: human-behavior understanding using Wi-Fi signals
Device-free passive human behavior understanding plays an important role in human–computer interaction and public safety management. Especially, human detection and human identification are two key enablers fo...
