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2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Online social networks in economics
The 2nd International Workshop on Adults Use of Information and Communication Technologies in Healthcare (auICTH 2016) Online Support for The Elderly -Why Service and Social Network Platforms Should Be Integrated
Hate Speech in Political Discourse: A Case Study of UK MPs on Twitter
Practices and Issues of Corporate Ethnographers: A Case Study of a Corporate Laboratory of a Japanese Telecommunications Service Provider
Time-Varying Social-Aware Resource Allocation for Device-to-Device Communication
Efficient Algorithm for Multiple Benefit Thresholds Problem in Online Social Networks
Context-Centric Pricing: Early Pricing Models for Software Crowdsourcing Tasks
Social Networks and Interactions in Cities ∗
Rating Matrix Prefilling Algorithm Based on Users' Social Strength
On the Qualitative Research Approach and Application of the "VTIO" Model Based on Cultural Differences - A Case Study of Changan Ford Mazda Automobile Co., Ltd
Social-Network Influence on Telecommunication Customer Attrition
Discussion on Application of the Internet of Things in Modern Agricultural Experimental Base
A system for analysis and comparison of social network profiles
Monitoring social media: Students satisfaction with university administration activities
Collaboration patterns of researchers using Social Network Analysis approach
Social networking on smartphones: When mobile phones become addictive
Tracing Technology Diffusion of Social Media with Culturally Localized User Experience Approach
Dynamic Security Risk Evaluation via Hybrid Bayesian Risk Graph in Cyber-Physical Social Systems
Virtual humans for assisted health care
Investigating Mobile Banking in Mali: HCI Experience of ‘Man in the Street’
6443_Optimizing Service Selection in Dynamic Workflow Composition Using Social Media to Develop Recommendations.
6444_Knowledge Base Enhancement via Data Facts and Crowdsourcing.
SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things
Segment-wise Users' Response Prediction based on Activity Traces in Online Social Networks
Linguistic variable elimination for a heart failure dataset
Abstract: With the fast development of online education, the volume of education data traffic increased dramatically. Security information is potential to be mined from it. We can use data mining with some cloud computing platform for malware detection because the data volume is huge. The online education institutions need to virtualize their data centers and build cloud infrastructure for better using resources. So they should move data centers from physical machines(PMs) to virtual machines(VMs) for implementing the virtualization. But there are some risks such as the loss of computing ability, performance decline and so on. In this paper, we do a series of experiments to test performance of data mining algorithm based on Hadoop in physical machines and virtual machines. Through these experiments, we find that the performance of data mining algorithm based on Hadoop depends on disk I/O performance of Hadoop. The disk I/O performance of Hadoop deployed in PMs is better than that in VMs .Some iterative algorithms like k-means need more disk I/O, so we don't advise using VMs for computing. Other basic algorithms like Bayes classification need less disk I/O, so we advise computing in the VMs
A ~e~~odology and Life Cycle Model for and Knowledge Discovery in Precision
From the Street to the Tweet: Applying Task Technology Fit to Examine the Information Technology Role in Revolutionizing Social Movements
Automatic Alt-text: Computer-generated Image Descriptions for Blind Users on a Social Network Service