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14th Iberian Conference on Information Systems and Technologies (CISTI)

作者： Lousa, Andre Pedrosa, Isabel Bernardino, Jorge Polytech Coimbra Inst Engn Coimbra ISEC Coimbra Portugal Polytech Coimbra Coimbra Business Sch ISCAC Inst Univ Lisboa ISTARISCTE Lisbon Portugal

ISBN: (纸本)9789899843493

The autonomy of being able to visualize and analyze existing data and the knowledge that comes from it, is fundamental for the increase of the competitive advantage of organizations. In this context, data visualization tools are great aids in decision making by following techniques of Self-Service Business Intelligence. They aim to improve agility in different business departments, enable their users to create their own reports and access data at any time without being dependent on specialists. But this choice has to be made based on a good analysis of the companies and what they need to be able to find the one that best suits their needs. In order to improve this choice, is made a comparative evaluation of the four most used data visualization tools: Tableau, Microsoft Power BI, Sisense e QlikView.

关键词： Self-Service Business Intelligence data visualization tools Dashboards KPI

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ONYX - User Interfaces for Assisting in Interactive Task Learning for Natural Language Interfaces of data visualization tools

ONYX - User Interfaces for Assisting in Interactive Task Lea...

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CHI Conference on Human Factors in Computing Systems (CHI)

作者： Ruof, Marcel Myers, Brad A. Maedche, Alexander Karlsruhe Inst Technol Karlsruhe Germany Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450391566

While natural language interfaces (NLIs) are increasingly utilized to simplify the interaction with data visualization tools, improving and adapting the NLIs to the individual needs of users still requires the support of developers. ONYX introduces an interactive task learning (ITL) based approach which enables NLIs to learn from users through natural interactions. Users can personalize the NLI with new commands using direct manipulation, known commands, or by combining both. To further support users during the training process, we derived two design goals for the user interface, namely providing suggestions based on sub-parts of the command and addressing ambiguities through follow-up questions and instantiated them in ONYX. In order to trigger reflections and gain feedback on possible design trade-offs of ONYX and the instantiated design goals, we performed a formative user study to understand how to successfully integrate the suggestions and follow-up question into the interaction.

关键词： Interactive task learning Natural language interfaces Participatory design data visualization tools

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Mapping the chloride-induced corrosion damage risks for bridge decks under climate change

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STRUCTURE AND INFRASTRUCTURE ENGINEERING 2025年第5期21卷 725-741页

作者： Xu, Mingsai Yang, Cancan McMaster Univ Dept Civil Engn Hamilton ON Canada

Climate change is expected to alter the environmental factors that are known to influence the corrosion process, creating additional uncertainties in the long-term performance of reinforced concrete (RC) decks. With due consideration of site-specific exposure and environmental conditions, this study aims to investigate the degree to which projected climate change may impact corrosion-induced damage for RC bridges. A hierarchical two-tier framework was developed incorporating the material deterioration process simulation at the local element level, and a component level prediction of the corrosion-induced damage severity and extent over the bridge deck domain. The predictive accuracy of this framework was validated against the historical bridge inspection data. Case studies were performed for decks located in Toronto and Victoria to investigate the influence of climate data resolution and climate projection models on deck deterioration status. At last, ANN (artificial neural network) and SVM (support vector machine) approaches were used to generate a series of cartographic expressions to reveal how the corrosion-induced deck deterioration risk varies with the region due to the difference in the environmental conditions. These maps can serve as visual tools to express the corrosion damage risks for different bridge locations and to formulate region-based durability design requirements.

关键词： Corrosion reinforced concrete bridge decks machine learning climate change impact time-dependent reliability corrosion hazard maps data visualization tools

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Cryptococcus neoformans: The Model Organism for Yeast Antifungal Drug Susceptibility Testing

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MYCOPATHOLOGIA 2012年第5-6期173卷 435-443页

作者： Bauer, Madeline Thomas, Ann M. Larsen, Robert A. Univ So Calif Dept Med Infect Dis Los Angeles CA 90033 USA Univ No Colorado Dept Stat Greeley CO 80639 USA

We describe an approach to antifungal susceptibility testing of the yeast Cryptococcus neoformans that shows promise for predicting the mycological response in patients to treatment. Quantitative cultures of the cerebrospinal fluid provide a direct measure of the patient's mycological response to treatment and have been used in multiple studies to identify the most promising antifungal drugs for subsequent testing in larger clinical studies. Using these quantitative measures of response, a modified macrobroth dilution assay system shows the potential for predicting the response of an individual patient to treatment with amphotericin B, fluconazole, or the combination of amphotericin B plus flucytosine. We describe this modified macrobroth dilution assay method, the statistical approach for assessing susceptibility, and the clinical decisions that can be guided by this in vitro antifungal drug susceptibility testing.

关键词： Robust response surface design Loess regression data visualization tools In vitro-clinical correlations Patient-specific treatment selection

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Emerging Trends in Big data Analytics-A Study

Emerging Trends in Big Data Analytics-A Study

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International Conference on Communications and Cyber Physical Engineering (ICCCE)

作者： Devi, G. Naga Rama CMRIT Dept CSE Medchal Rd Hyderabad India

ISBN: (纸本)9789811302121;9789811302114

Big data refers to exceptionally large datasets that are growing exponentially with time. The three key enablers for the growth of big data are (1) data storage, (2) computation capacity, and (3) data availability (Grobelnik M, Big-data tutorial, 2012 [1]). This massive, heterogeneous, and unstructured digital content cannot be processed by traditional data management techniques and tools effectively, but this problem is overcome by using big data analytics. In this paper, we have discussed various big data services, languages, and data visualization tools. Big data helps organizations to increase sales and improves marketing results. It also improves customer service, reduces risk, and improves security. Both high storage and computation are important requirements for big data analytics. Information technology researchers and practitioners have faced the major challenge of designing systems for the efficient handling of data and its analysis for the decision-making process as the amount of data continues to grow. Big data is available in three forms, namely structured, unstructured, and semi-structured. The top ten big data technologies are (1) predictive analytics, (2) NoSQL databases, knowledge discovery and searching, (4) stream analytics, (5) data fabric for in memory computing, (6) distributed file stores, (7) virtualization of data, (8) integration of data, (9) preparation of data, and (10) quality of data. Amazon Elastic MapReduce, Apache Hive, Apache Pig, Apache Spark, MapReduce, Couchbase, Hadoop, and MongoDB are data integration tools used to manipulate big data accurately.

关键词： Big data trends and tools Big data lambda architecture data storage and management SQL-in hadoop data languages data visualization tools

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Enhancing patent landscape analysis with visualization output

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WORLD PATENT INFORMATION 2010年第3期32卷 203-220页

作者： Yang, Yun Yun Akers, Lucy Yang, Cynthia Barcelon Klose, Thomas Pavlek, Shelley Bristol Myers Squibb Co POB 4000 Princeton NJ 08540 USA

A patent landscape analysis can be defined as a state-of-the-art patent search that provides graphic representations of information from search results. The focus is patents and patent applications from a given technology area or company patent portfolio. Unlike a traditional state-of-the-art search which provides relevant information in text format, patent landscape analysis provides graphics and charts to demonstrate patenting trends, leading patent assignees, collaboration partners, white space analysis, technology evaluations, etc. In this article, we will illustrate two case studies from a more in-depth evaluation of some text mining tools. Output from these tools may be integrated into patent analysis workflow to yield critical visual views of the data and actionable business intelligence. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Text mining data visualization tools Patent information Intellectual property analysis Patent landscape analysis Business intelligence

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Text mining and visualization tools - Impressions of emerging capabilities

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WORLD PATENT INFORMATION 2008年第4期30卷 280-293页

作者： Yang, YunYun Akers, Lucy Klose, Thomas Yang, Cynthia Barcelon Bristol Myers Squibb POB 4000 Princeton NJ 08543 USA Patent Informat Users Grp PIUG Inc Newark DE USA BristolMyers Squibbs Patent Anal Grp Princeton NJ USA DuPont Co Inc Wilmington DE USA DuPont Pharmaceut Patent Informat Serv Grp Wilmington DE USA

Innovation is the underlying foundation of today's competitive economy and technological advancement. There is a plethora of text mining and visualization tools available on the market to facilitate the innovative process in uncovering "hidden nuggets" of information about emerging technologies. A high-level overview of some key text mining and visualization tools is presented in this paper to provide a comparison of text mining capabilities, perceived strengths, potential limitations, applicable data sources, and output of results, as applied to chemical, biological and patent information. Examples of tools to be discussed include sophisticated text mining software packages, some simpler full-text searching tools, and a few data visualization tools that could be integrated with the more sophisticated software packages and full-text searching tools. Included are comments on our impressions of applicability of these tools to different types of data sources, perceived strengths, potential limitations, and suggestions as to which user groups may benefit from these tools. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Text mining data visualization tools Patent information Competitive intelligence Intellectual property analysis Review

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Irida: A real-time Wireless Sensor Network visualization feedback protocol

Irida: A real-time Wireless Sensor Network visualization fee...

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8th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS)/IWSN/WiSARN/PWSN

作者： Karagiannis, Marios Dallinge, Laetitia Rolim, Jose Ctr Univ Informat Geneva Switzerland

ISBN: (纸本)9780769547077

In this paper, we describe the implementation of a real time visualization and feedback system for Wireless Sensor Network algorithms. The system is based on a fixed hardware testbed, which is deployed on a vertical flat surface and a feedback loop system that takes information about the current state of the network and projects this state, in a visual way, on the surface itself using a video projector. The protocol used is open and simple to use, and can be easily adapted for different hardware configurations. We call our system Irida.

关键词： Wireless Sensor Networks data visualization tools visualization Protocol Visual Feedback

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ONYX: Assisting Users in Teaching Natural Language Interfaces Through Multi-Modal Interactive Task Learning 23

ONYX: Assisting Users in Teaching Natural Language Interface...

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CHI conference on Human Factors in Computing Systems (CHI)

作者： Ruoff, Marcel Myers, Brad A. Maedche, Alexander Karlsruhe Inst Technol Karlsruhe Germany Carnegie Mellon Univ Pittsburgh PA USA

ISBN: (纸本)9781450394215

Users are increasingly empowered to personalize natural language interfaces (NLIs) by teaching how to handle new natural language (NL) inputs. However, our formative study found that when teaching new NL inputs, users require assistance in clarifying ambiguities that arise and want insight into which parts of the input the NLI understands. In this paper we introduce ONYX, an intelligent agent that interactively learns new NL inputs by combining NL programming and programming-by-demonstration, also known as multi-modal interactive task learning. To address the aforementioned challenges, ONYX provides suggestions on how ONYX could handle new NL inputs based on previously learned concepts or user-defned procedures, and poses follow-up questions to clarify ambiguities in user demonstrations, using visual and textual aids to clarify the connections. Our evaluation shows that users provided with ONYX's new features achieved signifcantly higher accuracy in teaching new NL inputs (median: 93.3%) in contrast to those without (median: 73.3%).

关键词： Interactive Task Learning End User Development Natural Language Interfaces data visualization tools

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data Fluency 1

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2014年

作者： Gemignani Zach Gemignani Chris Galentino Richard Schuermann Patrick

ISBN: (数字)9781118850893

ISBN: (纸本)9781118851012

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at *** Written by well-known and highly esteemed authors in the data presentation community data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.

关键词： data Fluency: Using data Presentation tools for Effective Communication Zach Gemignani Chris Gemignani data visualization data reporting analytical tools user experience reporting dashboards making data approachable data visualization techniques data visualization tools data presentation techniques data presentation tools layout and styling audience/user needs decision-making with data framework for data presentation strategies for reporting and visualization effective design patterns

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