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7th International Conference on Future Buildings and Districts - Energy Efficiency from Nano to Urban Scale (CISBAT)

作者： Nembrini, Julien Evequoz, Florian Baeriswyl, Roman Lalanne, Denis Univ Fribourg Human IST Fribourg Switzerland Univ Appl Sci HES SO Sierre Switzerland Prona AG Biel Switzerland

A prototype of interactive data visualization is proposed for Building Management Systems (BMS). The aim is to enhance traditional data presentation format such as graphs and tables to support expert users in early open-ended exploration of building data. Based on data recorded over 3 years in areal office building in Switzerland, a case study is conducted involving 12 practicing expert users with engineering background. Both exploratory and qualitative in nature, this evaluation allows to : (1) show the ability of expert users to use advanced visualization tools to derive meaningful conclusions in limited time, (2) demonstrate the relevance of visual analytics results for the building physics field. (C) 2017 The Authors. Published by Elsevier Ltd.

关键词： interactive data visualization Building Management System (BMS) data domain experts case study

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A framework for business operations management systems

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8th International Conference on Web Information Systems Engineering (WISE 2007)

作者： Lin, Tao Li, Chuan Shan, Ming-Chien Babu, Suresh SAP Labs LLC Palo Alto CA 94304 USA

ISBN: (纸本)9783540769927

Today's common business phenomena, such as globalization, outsourcing of operations, mergers and acquisition, and business renovation require rapid changes of business operations. In order to support such changes, it is critical to gain the total visibility of the entire business operation environment and to understand the impact of the potential changes so that people can react properly in time. Business OPerations Management environment (BOPM) is a system that is on the top of existing business application systems and other IT systems and is responsible for users to understand, manage and change business operations. The development of an effective BOPM system is necessarily complex since it needs to deal with multiple dimensions of artifacts - people, information, processes, and systems - across the extent of a company's business operations, both within and outside the company boundaries, to provide the visibility and control, to discover where to make changes, to evaluate new business processes or changes, and to govern all business operations, particularly new or changed ones. This paper presents a conceptual architecture for BOPM framework and discusses some key technical features.

关键词： business operations management interactive data visualization dynamic data modeling model structure

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Bicycle Demand Prediction to Optimize the Rebalancing of a Bike Sharing System in Lisbon 26

Bicycle Demand Prediction to Optimize the Rebalancing of a B...

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26th International Conference Information Visualisation (IV)

作者： Afonso, Ana Sofia Pires, Joao Moura Datia, Nuno Birra, Fernando NOVA Sch Sci & Technol NOVA LINCS Monte De Caparica Portugal Politecn Lisboa ISEL Lisbon Sch Engn Future Internet Technol Lisbon Portugal

ISBN: (纸本)9781665490078

With urban development in cities, shared bicycle systems are increasingly used as a way to avoid traffic caused by cars, promoting sustainable mobility and contributing for traffic and pollution reduction in urban areas. The imbalance in the availability of bicycles and docks at the stations of the systems makes it impossible to rent and return bicycles, making it necessary to redistribute them across the network. However, this process has flaws, mainly during rush hours. In this paper, we analyse data provided by the Lisbon City Council regarding their bike sharing system, which has the rebalancing operations' influence. Since the original data was contaminated with the rebalancing operations, an analysis was conducted in an attempt to remove this influence from the data. Following this analysis, a new dataset was created using only the trip data to enable model development for each station and predict the bicycle demand. The plateaus in the created dataset were then analysed to determine if they're due to lack of demand from costumers, or due to stations being full or empty.

关键词： Shared Bicycle Systems Time Series Rebalancing Bicycle Demand Forecasting interactive data visualization

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Machine Learning and interactive visualization Applied to TB-sized Images of Stem Cells 2

Machine Learning and Interactive Visualization Applied to TB...

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IEEE International Conference on Big data

作者： Amelot, Julien Bajcsy, Peter Plant, Anne Brady, Mary Natl Inst Stand & Technol Informat Technol Lab Gaithersburg MD 20899 USA Natl Inst Stand & Technol Mat Measurement Lab Gaithersburg MD 20899 USA

ISBN: (纸本)9781479956661

In order to characterize the growth and properties of stem cell colonies with high statistical significance, we address the problem of applying machine learning and interactive web visualizations to TB-sized images. Overcoming the computational challenges and designing advanced visualizations enabled knowledge discovery and quantitative analysis at unprecedented scales in cell microscopy.

关键词： Big data Parallel Computing Machine Learning Predictive Modeling interactive data visualization Image Processing

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data visualization for fraud detection: Practice implications and a call for future research

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INTERNATIONAL JOURNAL OF ACCOUNTING INFORMATION SYSTEMS 2015年 16卷 1-22页

作者： Dilla, William N. Raschke, Robyn L. Iowa State Univ Dept Accounting Ames IA 50011 USA Univ Nevada Dept Accounting Las Vegas NV 89154 USA

Analysis of data to detect transaction anomalies is an important fraud detection procedure. interactive data visualization tools that allow the investigator to change the representation of data from text to graphics and filter out subsets of transactions for further investigation have substantial potential for making the detection of fraudulent transactions more efficient and effective. However, little research to date has directly examined the efficacy of data visualization techniques for fraud detection. In this paper, we develop a theoretical framework to predict when and how investigators might use data visualization techniques to detect fraudulent transactions. We use this framework to develop testable propositions and research questions related to this topic. The paper concludes by discussing how academic research might proceed in investigating the efficacy of interactive data visualization tools for fraud detection. (C) 2015 Elsevier Inc. All rights reserved.

关键词： Fraud detection Visual analytics interactive data visualization Decision aids Cognitive fit theory

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Developing an interactive Intervention Planner - A Systems Engineering Perspective

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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 2013年第9期10卷

作者： Fabry, Thomas Vanherpe, Liesbeth Feral, Bruno Braesch, Christian CERN Geneva Switzerland Univ Savoie Polytech Annecy Chambery SYMME Le Bourget Du Lac France

Intervention planning is crucial for maintenance operations in particle accelerator environments with ionizing radiation, during which the radiation dose received by maintenance workers should be reduced to a minimum. In this context, we discuss the development of a new software tool and the entailed methodology, including the visualization aspects. The software tool integrates interactive exploration of a scene depicting an accelerator facility augmented with residual radiation level simulations, with the visualization of intervention data such as the followed trajectory and maintenance tasks. Its conception allows for future inclusion of measurements performed by mobile robotic devices. In this work, we explore the systems engineering life cycle of the development process of an interactive intervention planner, which includes the needs analysis, specification explicitation, conceptual mathematical modelling, iterative implementation, design and prototype testing and usability testing.

关键词： interactive data visualization Ionizing Radiation Intervention Planning Systems Engineering

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Advocating the use of visual analytics in the context of BMS data

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Energy Procedia 2017年 122卷 715-720页

作者： Julien Nembrini Florian Évéquoz Roman Baeriswyl Denis Lalanne Human-IST Université de Fribourg Suisse Prona AG Biel-Bienne Suisse University of Applied Sciences HES-SO Valais-Wallis Sierre Suisse

A prototype of interactive data visualization is proposed for Building Management Systems (BMS). The aim is to enhance traditional data presentation format such as graphs and tables to support expert users in early open-ended exploration of building data. Based on data recorded over 3 years in a real office building in Switzerland, a case study is conducted involving 12 practicing expert users with engineering background. Both exploratory and qualitative in nature, this evaluation allows to : (1) show the ability of expert users to use advanced visualization tools to derive meaningful conclusions in limited time, (2) demonstrate the relevance of visual analytics results for the building physics field.

关键词： interactive data visualization Building Management System (BMS) data domain experts case study

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Getting Started with D3, an Open-Source JavaScript Library for Creating interactive data visualizations for the Web

Journal of Computing Sciences in Colleges

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Journal of Computing Sciences in Colleges 2024年第2期40卷

作者： Karina Assiter STEM Department Landmark College Putney VT

D3 is a free, open-source JavaScript library for visualizing data [1]. The low-level approach of coding with D3 allows flexibility in creating dynamic, data-driven graphics; thus, D3 is behind the creation of groundbreaking and award-winning visualizations. Though the first version of D3 was released in 2011, it is still relevant for visualizing data in 2024 [4]. D3 is excellent for building data visualizations that are either standard and familiar (bar charts, line charts, force-based layouts, etc.) or non-standard and innovative [3]. In this tutorial we will start with a quick introduction to the field of data visualization [2], then we will provide an overview of D3, its benefits, structure, development environment, and methods of adding it to a JavaScript file. Then there will be opportunities for attendees to get hands-on experience with D3: setting up a simple server to host data files, adding code to D3 files, loading and building a visualization from an accessed data file, and adding interaction. Next, we will explore the myriad of ways that D3 can be (and has been) applied to advanced interactive data visualization problems. Finally, we will share resources that attendees can refer to as they get up-to-speed with D3.

关键词： D3 data visualization information visualization interactive data visualization

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Clustering and visualization of a high-dimensional diabetes dataset

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Procedia Computer Science 2019年 159卷 2179-2188页

作者： Piotr Lasek Zhen Mei University of Rzeszow Poland Manifold Data Mining Inc. Canada

data clustering algorithms have proved to be important and widely used methods of artificial intelligence and data mining for discovering unknown yet important patterns in datasets. Nevertheless, one of the additional aspects of data clustering is proper interpretation of the clustering results. In this paper we aim to investigate possibilities of using both data clustering and visualization methods to analyze a sample diabetes dataset. In the first part, we focus on how to cluster a highly-dimensional sample dataset and then, we concentrate on how to properly visually present the clustering results in the most meaningful way to uncover potentially interesting behavioral patterns or features of diabetes patients. In this work we examine two clustering algorithms (DBSCAN, k-Means) along with several different distance measures. We also present sample visualizations of clustering results generated by an application which we have developed and discuss if the proposed way of clustering results visualization can be helpful in understanding the analyzed dataset and lead a viewer to drawing valuable conclusions about it.

关键词： data mining data visualization interactive data visualization diabetes visualization clustering high-dimensional clustering

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Combining 2D and 3D visualization with Visual Analytics in the Environmental Domain

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INFORMATION 2022年第1期13卷 7页

作者： Vuckovic, Milena Schmidt, Johanna Ortner, Thomas Cornel, Daniel VRVis Zentrum Virtual Real & Visualisierung Forsc A-1220 Vienna Austria

The application potential of Visual Analytics (VA), with its supporting interactive 2D and 3D visualization techniques, in the environmental domain is unparalleled. Such advanced systems may enable an in-depth interactive exploration of multifaceted geospatial and temporal changes in very large and complex datasets. This is facilitated by a unique synergy of modules for simulation, analysis, and visualization, offering instantaneous visual feedback of transformative changes in the underlying data. However, even if the resulting knowledge holds great potential for supporting decision-making in the environmental domain, the consideration of such techniques still have to find their way to daily practice. To advance these developments, we demonstrate four case studies that portray different opportunities in data visualization and VA in the context of climate research and natural disaster management. Firstly, we focus on 2D data visualization and explorative analysis for climate change detection and urban microclimate development through a comprehensive time series analysis. Secondly, we focus on the combination of 2D and 3D representations and investigations for flood and storm water management through comprehensive flood and heavy rain simulations. These examples are by no means exhaustive, but serve to demonstrate how a VA framework may apply to practical research.

关键词： visual analytics interactive data visualization environmental research flood simulation natural disaster management climate research

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