2017 IEEE International Conference on Information Reuse and Integration (IRI)最新文献

Discovering Mobility Patterns of Instagram Users through Process Mining Techniques 通过流程挖掘技术发现Instagram用户的移动模式

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-11-08 DOI: 10.1109/IRI.2017.69

C. Diamantini, Laura Genga, F. Marozzo, D. Potena, Paolo Trunfio

引用次数: 9

Comparison of Visual Datasets for Machine Learning 机器学习可视化数据集的比较

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.59

Kent W. Gauen, Ryan Dailey, John Laiman, Yuxiang Zi, Nirmal Asokan, Yung-Hsiang Lu, G. Thiruvathukal, M. Shyu, Shu‐Ching Chen

引用次数: 35

A Collaborative Robotic Cyber Physical System for Surgery Applications 用于外科手术应用的协作机器人网络物理系统

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.84

D. D’Auria, Fabio Persia

引用次数: 16

Malware Collection and Analysis 恶意软件收集与分析

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.92

Ramkumar Paranthaman, B. Thuraisingham

引用次数: 14

Modelling Multimedia Social Networks Using Semantically Labelled Graphs 使用语义标记图建模多媒体社会网络

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.70

E. G. Caldarola, A. M. Rinaldi

{"title":"Modelling Multimedia Social Networks Using Semantically Labelled Graphs","authors":"E. G. Caldarola, A. M. Rinaldi","doi":"10.1109/IRI.2017.70","DOIUrl":"https://doi.org/10.1109/IRI.2017.70","url":null,"abstract":"We live in an increasingly connected and data-greedy world. In the last decade, informative contents over the Web have grown in volume, connectivity and heterogeneity to an extent never seen before. Well known examples of Online Multimedia Social Networks (OMSNs), such as Facebook or Twitter, demonstrate the humongous volume and complexity characterizing common scenarios of the contemporary Web. Recognizing that, today, means adopting intelligent information systems able to use data and links between data to gain insights and clues from such intricate and dense networks. To address this goal, these systems should have formal models able to extract efficiently the knowledge retained in the network, even when it is not so explicit. In this way, complex data can be managed and used to perform new tasks and implement innovative functionalities. This article describes the use of a semantically labelled and property-based graph model in order to represent the information coming from OMSNs by exploiting linguistic-semantic properties between terms and the available low-level multimedia descriptors. The multimedia features are automatically extracted using algorithms based on MPEG-7 descriptors and integrated with textual data from a general knowledge base.","PeriodicalId":254330,"journal":{"name":"2017 IEEE International Conference on Information Reuse and Integration (IRI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117083620","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: 9

A Scalable Spark-Based Fault Diagnosis Platform for Gearbox Fault Diagnosis in Wind Farms 风电场齿轮箱故障诊断的可扩展火花诊断平台

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.32

Maryam Bahojb Imani, M. Heydarzadeh, L. Khan, M. Nourani

引用次数: 9

Estimating the Prevalence of Religious Content in Intelligent Design Social Media 估计智能设计社交媒体中宗教内容的流行程度

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.90

George D. Montañez

{"title":"Estimating the Prevalence of Religious Content in Intelligent Design Social Media","authors":"George D. Montañez","doi":"10.1109/IRI.2017.90","DOIUrl":"https://doi.org/10.1109/IRI.2017.90","url":null,"abstract":"Can machine learning prove useful in deciding sociological questions that are difficult for humans to judge impartially? We propose that it can, and even simple methods can be useful for evaluating evidence with reduced influence from human bias. Our case study is intelligent design (ID) social media, particularly the detection of religious content therein. Being a polarizing topic, critics of intelligent design claim that all intelligent design output consists of religious content, whereas defenders argue that ID is primarily motivated by scientific, not religious, concerns. To help determine where the truth lies, we use classifiers trained on the topically categorized 20 newsgroups dataset, applying the trained learners to automatically classify ID blog documents. As a control, we perform the same analysis on documents drawn from prominent mainstream evolutionary science blogs. Our classification results demonstrate a significant portion of religious and political content in the intelligent design dataset as judged by a non-human classifier, and a similarity in the proportion of documents assigned to religious and political categories in the evolutionary science blog dataset, likely indicating a dependence of discussion topics within the two communities.","PeriodicalId":254330,"journal":{"name":"2017 IEEE International Conference on Information Reuse and Integration (IRI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129797704","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: 0

Estimating Outlier Score Probabilities 估计离群值概率

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.19

Richard A. Bauder, T. Khoshgoftaar

{"title":"Estimating Outlier Score Probabilities","authors":"Richard A. Bauder, T. Khoshgoftaar","doi":"10.1109/IRI.2017.19","DOIUrl":"https://doi.org/10.1109/IRI.2017.19","url":null,"abstract":"Outlier detection is a critical function across a diverse range of tasks and domains. There are numerous outlier detection methods, the majority of which produce scores to indicate an outlier versus inlier. An issue with these scores is that they can be difficult to interpret and do not allow for comparisons between different methods. One solution is to convert the outlier score to probabilities. These probability estimates can provide understandable and meaningful results for assessing outlying values. Moreover, the probabilities can be combined to produce an ensemble of outlier detection methods, further enhancing the detection of outliers. In this paper, we propose a unique approach leveraging probabilistic programming to fit the original outlier score distributions to a 3-parameter Lognormal distribution. We provide empirical evidence for the use of this distribution, compare the probability estimates with the outlier scores, discuss confidence in these estimates, evaluate detection performance via the probabilities, and provide an ensemble detection example. Our research indicates this approach reasonably models the original outlier scores, resulting in meaningful outlier probability estimates.","PeriodicalId":254330,"journal":{"name":"2017 IEEE International Conference on Information Reuse and Integration (IRI)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126220170","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: 2

Model-Oriented Web Service Implementations Compared to Traditional Web Services 面向模型的Web服务实现与传统Web服务的比较

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.50

Thiago Gottardi, R. Braga

引用次数: 3

On the Synthesis of Guaranteed-Quality Plans for Robot Fleets in Logistics Scenarios via Optimization Modulo Theories 基于优化模理论的物流场景下机器人车队保证质量计划综合研究

2017 IEEE International Conference on Information Reuse and Integration (IRI) Pub Date : 2017-08-01 DOI: 10.1109/IRI.2017.67

Francesco Leofante, E. Ábrahám, T. Niemüller, G. Lakemeyer, A. Tacchella

引用次数: 13