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检索条件"任意字段=14th Symposium on Large Data Analysis and Visualization"

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data analytics with mlv-viewer 14

Data analytics with mlv-viewer

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14th IADIS International Conference Interfaces and Human Computer Interaction 2020, IHCI 2020 and 13th IADIS International Conference Game and Entertainment Technologies 2020, GET 2020, Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020

作者： Alves, Carlos Manuel Oliveira Cota, Manuel Pérez Castro, Miguel Ramón González Instituto Politécnico de Castelo Branco Av. D. Pedro Álvares Cabral 12 Castelo Branco6000 Portugal Universidade de Vigo Rúa Torrecedeira 86 Vigo36208 Spain

ISBN: (纸本)9789898704207

Information visualization is defined as interactive visual representations supported by the computer, in order to increase cognition. the tools and methods applied can help to accelerate the understanding of a large volume of data, improving understanding, especially with multidimensional data sets. Visual analysis methods allow decision makers to combine flexibility, creativity and human knowledge with the enormous storage and processing resources of today's computers to gain insight into complex problems. If we add data mining to advanced visual interfaces, decision makers will be able to interact directly with data analysis, adapting to their tastes and needs. the MLV-Viewer is a decision support system, and its data analytics aspect will be described in this article. © Proceedings of the 14th IADIS International Conference Interfaces and Human Computer Interaction 2020, IHCI 2020 and Proceedings of the 13th IADIS International Conference Game and Entertainment Technologies 2020, GET 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. All rights reserved.

关键词： Big data

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Mixed-Initiative Approach to Extract data from Pictures of Medical Invoice

Mixed-Initiative Approach to Extract Data from Pictures of M...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Seokweon Jung Kiroong Choe Seokhyeon Park Hyung-Kwon Ko Youngtaek Kim Jinwook Seo Seoul National University Seoul Republic of Korea

Extracting data from pictures of medical records is a common task in the insurance industry as the patients often send their medical invoices taken by smartphone cameras. However, the overall process is still challenging to be fully automated because of low image quality and variation of templates that exist in the status quo. In this paper, we propose a mixed-initiative pipeline for extracting data from pictures of medical invoices, where deep-learning-based automatic prediction models and task-specific heuristics work together under the mediation of a user. In the user study with 12 participants, we confirmed our mixed-initiative approach can supplement the drawbacks of a fully automated approach within an acceptable completion time. We further discuss the findings, limitations, and future works for designing a mixed-initiative system to extract data from pictures of a complicated table.

关键词： Industries Image quality Pipelines Insurance Predictive models data mining Task analysis

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Vibration Damping of large Containership in Operation 14th

Vibration Damping of Large Containership in Operation

引用

14th International symposium on Practical Design of Ships and Other Floating Structures, PRADS 2019

作者： Shakibfar, Saeed Andersen, Ingrid M. V. Brandt, Anders Department of Technology and Innovation University of Southern Denmark Odense Denmark A.P. Møller-Mærsk Copenhagen Denmark

ISBN: (纸本)9789811546716

Vibration damping is a paramount factor in understanding vibrations in structures because the response of a structure under stationary dynamic loads, at resonance, is directly (inversely) proportional to the damping. Also, transient response of a structure decays exponentially at a rate determined by the damping factor and eigenfrequency of each mode. thus, to compute forced responses, the damping must be known. Despite damping thus being of large importance, there is limited knowledge of the damping of ships in general and of large container ships in particular. Some studies have suggested the damping is speed dependent, whereas others have not. In the last ISSC 2018 report, it was concluded that more data are needed from full-scale measurements. In the present paper the dynamics of a large container ship in operation is investigated, from full scale measurements in different operation conditions. State-of-the art, so-called operational modal analysis (OMA) is used for computing the eigenfrequencies, damping factors, and mode shapes of the ship. It is discussed how particularly the vibration damping varies with different operating parameters such as cargo, speed, and sea state. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Damping

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A large-scale analysis of Hundreds of In-memory Key-value Cache Clusters at Twitter

A Large-scale Analysis of Hundreds of In-memory Key-value Ca...

引用

14th USENIX symposium on Operating Systems Design and Implementation (OSDI)

作者： Yang, Juncheng Yue, Yao Rashmi, K., V Carnegie Mellon Univ 5000 Forbes Ave Pittsburgh PA 15213 USA Twitter 1355 Market St San Francisco CA 94103 USA

Modern web services use in-memory caching extensively to increase throughput and reduce latency. there have been several workload analyses of production systems that have fueled research in improving the effectiveness of in-memory caching systems. However, the coverage is still sparse considering the wide spectrum of industrial cache use cases. In this work, we significantly further the understanding of real-world cache workloads by collecting production traces from 153 in-memory cache clusters at Twitter, sifting through over 80 TB of data, and sometimes interpreting the workloads in the context of the business logic behind them. We perform a comprehensive analysis to characterize cache workloads based on traffic pattern, time-to-live (TTL), popularity distribution, and size distribution. A fine-grained view of different workloads uncover the diversity of use cases: many are far more write-heavy or more skewed than previously shown and some display unique temporal patterns. We also observe that TTL is an important and sometimes defining parameter of cache working sets. Our simulations show that ideal replacement strategy in production caches can be surprising, for example, FIFO works the best for a large number of workloads.

关键词： Cache in-memory key-value cache key-value store workload analysis datasets Twitter

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A Model for the Progressive visualization of Multidimensional data Structure 14th

A Model for the Progressive Visualization of Multidimensiona...

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14th International Joint Conference on Computer Vision, Imaging and Computer Graphics theory and Applications (VISAPP)

作者： Ventocilla, Elio Riveiro, Maria Univ Skovde Sch Informat Dept Comp & Syst Sci Skovde Sweden Jonkoping Univ Sch Engn Dept Comp Sci & Informat Jonkoping Sweden

ISBN: (纸本)9783030415907;9783030415891

this paper presents a model for the progressive visualization and exploration of the structure of large datasets. that is, an abstraction on different components and relations which provide means for constructing a visual representation of a dataset's structure, with continuous system feedback and enabled user interactions for computational steering, in spite of size. In this context, the structure of a dataset is regarded as the distance or neighborhood relationships among its data points. Size, on the other hand, is defined in terms of the number of data points. To prove the validity of the model, a proof-of-concept was developed as a Visual Analytics library for Apache Zeppelin and Apache Spark. Moreover, nine user studies where carried in order to assess the usability of the library. the results from the user studies show that the library is useful for visualizing and understanding the emerging cluster patterns, for identifying relevant features, and for estimating the number of clusters k.

关键词： data structure Progressive visualization large data analysis Multidimensional projection Multidimensional data Growing neural gas Visual analytics Exploratory data analysis

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Know-What and Know-Who: Document Searching and Exploration using Topic-Based Two-Mode Networks

Know-What and Know-Who: Document Searching and Exploration u...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Jian Zhao Maoyuan Sun Patrick Chiu Francine Chen Bee Liew University of Waterloo Northern Illinois University FXPAL Toyota Research Institute

this paper proposes a novel approach for analyzing search results of a document collection, which can help support know-what and know-who information seeking questions. Search results are grouped by topics, and each topic is represented by a two-mode network composed of related documents and authors (i.e., biclusters). We visualize these biclusters in a 2D layout to support interactive visual exploration of the analyzed search results, which highlights a novel way of organizing entities of biclusters. We evaluated our approach using a large academic publication corpus, by testing the distribution of the relevant documents and of lead and prolific authors. the results indicate the effectiveness of our approach compared to traditional 1D ranked lists. Moreover, a user study with 12 participants was conducted to compare our proposed visualization, a simplified variation without topics, and a text-based interface. We report on participants' task performance, their preference of the three interfaces, and the different strategies used in information seeking.

关键词： visualization Layout Lead Task analysis Testing

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Stable Visual Summaries for Trajectory Collections

Stable Visual Summaries for Trajectory Collections

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Jules Wulms Juri Buchmüller Wouter Meulemans Kevin Verbeek Bettina Speckmann TU Wien University of Konstanz TU Eindhoven

the availability of devices that track moving objects has led to an explosive growth in trajectory data. When exploring the resulting large trajectory collections, visual summaries are a useful tool to identify time intervals of interest. A typical approach is to represent the spatial positions of the tracked objects at each time step via a one-dimensional ordering; visualizations of such orderings can then be placed in temporal order along a time line. there are two main criteria to assess the quality of the resulting visual summary: spatial quality - how well does the ordering capture the structure of the data at each time step, and stability - how coherent are the orderings over consecutive time steps or temporal ranges?In this paper we introduce a new Stable Principal Component (SPC) method to compute such orderings, which is explicitly parameterized for stability, allowing a trade-off between the spatial quality and stability. We conduct extensive computational experiments that quantitatively compare the orderings produced by ours and other stable dimensionality-reduction methods to various state-of-the-art approaches using a set of well-established quality metrics that capture spatial quality and stability. We conclude that stable dimensionality reduction outperforms existing methods on stability, without sacrificing spatial quality or efficiency; in particular, our new SPC method does so at a fraction of the computational costs.

关键词： Dimensionality reduction Measurement visualization Stability criteria data visualization Tools Explosives

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Visual Analytics Methods for Interactively Exploring the Campus Lifestyle

Visual Analytics Methods for Interactively Exploring the Cam...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Liang Liu Song Wang Ting Cai Hanglin Li Weixin Zhao Yadong Wu School of Computer Science and Technology Southwest University of Science and Technology Mianyang China School of Computer Science and Engineering Sichuan University of Science and Engineering Zigong China

ISBN: (纸本)9781665439312;9781665439329

Exploring campus lifestyle is conducive to innovating education management, optimizing campus resources allocation, and providing personalized services, but little attention had been paid to the exploration campus lifestyle. A novel interactive system based on behavioral data of campus cards is presented in this paper to provide new ideas and technical support for campus management. Interactive visualization techniques are utilized to help users analyze campus lifestyle via intelligible diagrams. the system contains three functional modules: providing a decision-making reference to educators on students' poverty subsidies, predicting students' academic performance by quantitative analysis, and scheduling cafeteria repast based on the scheduling model during the outbreak of COVID-19. Finally, three exploratory case studies are presented to demonstrate the effectiveness of the system.

关键词： Processor scheduling Statistical analysis Visual analytics Interactive systems Computational modeling Education Decision making

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NetScatter: Visual analytics of multivariate time series with a hybrid of dynamic and static variable relationships

NetScatter: Visual analytics of multivariate time series wit...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Bao D. Q. Nguyen Rattikorn Hewett Tommy Dang Texas Teach University

the ability to capture common characteristics among complex multi-variate time series variables can profoundly impact big data analytics in uncovering valuable insights into the relationships among them and enabling a dimensionality reduction technique. Two widely used data displays include time series and scatter plots. While the former focuses on the dynamics over time, the latter deals with static relationships among variables. Motivated by these distinctive perspectives, our research aims to maximally utilize the information captured by both at the same time. this paper presents NetScatter, a visual analytic approach to characterizing changes of pairwise relationships in a high-dimensional time series. Unlike most traditional techniques that employ a single perspective of the visual display, our approach combines static perspectives of two variables in multi-variate time series into a single representation by comparing all data instances over two different time steps. the paper also introduces a list of visual features of the representation to capture how overall data evolve. We have implemented a web-based prototype that supports a full range of operations, such as ranking, filtering, and details on demand. the paper illustrates the proposed approach on data of various sizes in different domains to demonstrate its benefits.

关键词： Dimensionality reduction Filtering Visual analytics Scalability Time series analysis Prototypes data visualization

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Onshore Use of Hull Monitoring data Retrieved from Ultra large Container Ships 14th

Onshore Use of Hull Monitoring Data Retrieved from Ultra Lar...

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14th International symposium on Practical Design of Ships and Other Floating Structures, PRADS 2019

作者： Storhaug, Gaute Hareide, Ole Jacob DNV GL Maritime Advisory Oslo Norway

ISBN: (纸本)9789811546235

Digitalization is associated with the fourth industrial revolution. It covers many aspects, e.g. sensors. Sensor data can be displayed on board for decision support. Class approved hull monitoring systems do exactly that. this is not new, and it is not about digitalization. there is however a need to use sensor data in decision support onshore. this can be related to an alternative survey arrangement, which can give benefits compared to a rigid inspection regime. the aim is to reduce risk of damages, repairs and inspection costs. To do this, data needs to be collected, quality assured and assessed, and results needs to be displayed to decision makers. this process involves digitalization, and this is new for hull structures of merchant ships. Four container ships are instrumented. they are sister vessels and operates on the same Asia to Europe trade. the hull monitoring supplier has retrieved data from the vessels and converted the data to a supplier independent format stored on a data platform. A quality dashboard and a result dashboard are developed. these dashboards are available through a secure web access for the owner. the experience with the hull response for such large ships is limited. Results for fatigue and extreme loading including the effect of vibration are shown and related to seamanship, inspection and future expectation. Damping is estimated for main vibration modes, which can be useful for numerical analysis. Overall, the structural performance on this trade is good building confidence to the design. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Condition monitoring

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