2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery最新文献_第7页

A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning 基于二维蚁群算法的离线机器人路径规划

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.59

N. Ganganath, Chi-Tsun Cheng

引用次数: 16

Discovering Massive High-Value Users from Sina Weibo Based on Quality and Activity 基于质量和活跃度发现新浪微博海量高价值用户

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.42

Guangzhi Zhang, R. Bie

{"title":"Discovering Massive High-Value Users from Sina Weibo Based on Quality and Activity","authors":"Guangzhi Zhang, R. Bie","doi":"10.1109/CyberC.2013.42","DOIUrl":"https://doi.org/10.1109/CyberC.2013.42","url":null,"abstract":"This paper proposes a method to discover the high-value users who are both high-quality and high-activity. First, a Trust Transfer Model is introduced to capture users with high-quality in Sina Weibo that is a social web in China. Then, analysis and discussion are shown to identify the users are high-quality. Next, fresh users who are busy reposting are captured into the dataset filled with the high-quality users. Considering that reposting stands for the high-activity, hence the four degrees including reposting are proposed to judge one user's quality and activity. We discuss the effects of the four degrees. And then, the method called \"WeiboRank\" based on the four degrees is proposed to mine the high-value users. Finally, testing for the degree of coverage based on the \"Top10 Hot Microblog\" in Weibo presents a relatively high credibility of our dataset. The evaluation indicates that the users mined in this paper are quite high-quality and high-value. In conclusion, we will continue efforts to discover the high-value users in microblog and believe that discovering and maintaining a dataset filled with the high-value users which is not too big is quite significant for both academic research and business applications.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120974380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Towards a Moderate-Granularity Incremental Clustering Algorithm for GPU 面向GPU的中粒度增量聚类算法研究

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.38

Chunlei Chen, Dejun Mu, Huixiang Zhang, Wei Hu

{"title":"Towards a Moderate-Granularity Incremental Clustering Algorithm for GPU","authors":"Chunlei Chen, Dejun Mu, Huixiang Zhang, Wei Hu","doi":"10.1109/CyberC.2013.38","DOIUrl":"https://doi.org/10.1109/CyberC.2013.38","url":null,"abstract":"The incremental clustering algorithm plays a vital role in big data processing. The massive data problems generally raise high computation demand on the hardware platform. GPU-based parallel computing is a promising method to satisfy this demand. However, the existing incremental clustering algorithms face an accuracy-parallelism dilemma when accelerated by GPU. The block-wise algorithms evolve the clusters in coarse granularity and sacrifice accuracy for parallelism, while the point-wise algorithms proceed in fine granularity and barter parallelism for accuracy. We propose a moderate-granularity algorithm. This algorithm constantly generates micro-clusters from the incoming data blocks, and then evolves the clusters in the granularity of a micro-cluster. The proposed algorithm takes the following advantages: first, it avoids predefining a cluster number searching range like block-wise algorithms, second, it alleviates the accuracy problem caused by coarse granularity, third, it adopts the parallel-friendly algorithm to generate micro-clusters and decreases the amount of serial operations, so that it is parallelism-scalable compared to point-wise algorithms. Experiments on a CPU-GPU hybrid platform show that our algorithm can achieve comparable accuracy to its batch counterpart and is scalable in terms of parallelism.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133791016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Blocker-Type Methods for Protecting Customers' Privacy in RFID Systems RFID系统中保护客户隐私的拦阻式方法

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.23

Przemyslaw Blaskiewicz, M. Klonowski, Krzysztof Majcher, P. Syga

引用次数: 2

Management Motivation and Earnings Management Methods 管理动机与盈余管理方法

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.55

Zhonghai Yang, Sun Ying, Qianqian Zhang

引用次数: 0

An Efficient Localization Algorithm Using Sparse Anchors for the Internet of Things 基于稀疏锚点的物联网高效定位算法

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.70

G. Wang, Su-bin Shen

引用次数: 3

Tracking the State of Primary Users Based on Purely Discontinuous Markov Process 基于纯不连续马尔可夫过程的主用户状态跟踪

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.97

Bin Guo, Xinzhi Yue, Xiaoyuan Yan

引用次数: 1

Security Mechanism for the Interactive Satellite Remote Education System Based on DTN 基于DTN的交互式卫星远程教育系统安全机制

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.17

Xiangyu Bai, Yan-Jun Huang

引用次数: 2

Definition of Security Metrics for the Cloud Computing and Security-Aware Virtual Machine Placement Algorithms 云计算和安全感知虚拟机放置算法的安全度量定义

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.28

E. Caron, Anh Dung Le, Arnaud Lefray, C. Toinard

引用次数: 18

A Cluster Based Smart MAC Layer Protocol for Delay-Tolerant Underwater Wireless Sensor Networks 基于集群的容延迟水下无线传感器网络智能MAC层协议

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery Pub Date : 2013-10-10 DOI: 10.1109/CyberC.2013.60

Zhanyang Zhang, L. Blanco

引用次数: 2