Search

Data visualization is the primary means by which data analysts explore patterns, trends, and insights in their data. Unfortunately, existing visual analytics tools offer limited expressiveness and scalability when it comes to searching for visualizations over large datasets, making visual data exploration labor-intensive and time-consuming. In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching. To address them, we first present our work on Zenvisage that helps enumerate large collections of visualizations and supports simple visualization matching with the help of an interactive interface and an expressive visualization query language. For more finegrained and flexible visualization matching, including search for underspecified and approximate patterns, we extend Zenvisage to develop ShapeSearch. ShapeSearch supports a novel shape querying algebra that helps express a large class of pattern queries that are hard to specify with existing systems. ShapeSearch exposes multiple specification mechanisms: sketch, natural-language, and visual regular expressions that help users easily issue shape queries, while applying query-aware and perceptually-aware optimizations to efficiently execute them within interactive response times. To conclude, we discuss a number of open research problems to further improve the usability and performance of both Zenvisage and ShapeSearch. [ABSTRACT FROM AUTHOR]

A recent report from Ohio State University focuses on the field of human factors and ergonomics, specifically examining the difficulty of human-automation coordination as advanced automated systems become more complex. The researchers developed a visual analytics tool called the What's Next Diagram, which assesses the ability of operators to answer the question of what automation will do next. This tool can be used for post-mortem analysis, system design, and identifying system requirements for anomaly response in the aviation domain. The research was published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Extracted from the article]

The article focuses on the Riace Bronzes two famous bronze sculptures that have been the subject of much public interest and academic debate since their discovery in 1972. Topics include the probable provenance and dating of the statues, possible connections to southern Italy or Sicily, and a comparative visual analysis of the two statues.

The article explores how businesses are looking to deploy adaptive Digital Supply Chains that are equipped to deal with uncertainties and can process and fast-moving data from connected systems using artificial intelligence/Machine learning (AI/ML) and analytics. Topics include agile and resilient supply chains that provide end-to-end visibility and better operational control; and supply chain organizations will invest in applications that support AI and advanced analytics capabilities.

The article reports that the Orange Unified School District uses several core and supplemental instructional programs and benchmarks that generate student data online and on paper. Topics include considered teachers, principals and district administrators are often paralyzed by the mountain of data available.

A recent study conducted by Northwestern University in Evanston, Illinois, explores the correlation between children's personal and family characteristics and their physical and mental health status. The researchers developed a visual analytics system called HealthPrism, which allows experts to analyze the complex relationship between various factors and children's health outcomes. The system incorporates multiple data sources, including context data and motion data, to provide a comprehensive understanding of children's health. The study demonstrates the effectiveness and usability of HealthPrism through quantitative evaluation, case studies, and expert interviews. [Extracted from the article]

A recent report published in Cancer Weekly discusses the downside of personalized head and neck cancer therapeutics, which have improved survival rates but can lead to understudied long-lasting symptoms that affect quality of life. The researchers from the University of Illinois developed a data-driven visual system using sequential rule mining (SRM) to predict longitudinal patterns in symptom data. The system supports predictive modeling of post-treatment symptoms based on during-treatment symptoms and explains the resulting predictions in the context of personalized care delivery. The research concludes that the system effectively supports clinical and symptom research. [Extracted from the article]

The conceptual structures built with Formal Concept Analysis (FCA) and its extensions are appropriate constructs for supporting Exploratory Search (ES). FCA indeed classifies a set of objects described by Boolean attributes in a concept lattice which is prone to (intra-lattice) navigation. Relational Concept Analysis (RCA), for its part, classifies several sets of objects connected through multiple binary relationships by using logical operators (quantifiers) which can be approximate. The output is a set of interconnected concept lattices, thus adding inter-lattice navigation opportunities. In this paper, we describe the web platform RCAviz, which aims to support such intra- and inter-lattice navigation. The user can select a subset of objects and attributes as a starting point for navigation. Then RCAviz shows the associated concept and its close intra- and inter-lattice neighbors. The user can access to the objects and attributes introduced and inherited in a concept. They then can navigate, i.e. zoom and pan the current view, and move from one concept to another. Additional views show the previous and the next conceptual structures, as well as an history which allows the user to browse its navigation. A navigation example is shown on a real dataset to illustrate the potential of RCAviz for ES. [ABSTRACT FROM AUTHOR]

The execution of operational processes generates event data stored in enterprise information systems. Process mining techniques analyze such event data to obtain insights vital for decision-makers to improve the reviewed process. In this context, event data visualizations are essential. We focus on visualizing variants describing process executions that are control flow equivalent. Such variants are an integral concept for process mining and are used, for instance, for data exploration and filtering. We propose high-level and low-level variants covering different levels of abstraction and present corresponding visualizations. Compared to existing variant visualizations, we support partially ordered event data and allow for heterogeneous temporal information per event, i.e., we support both time intervals and time points. We evaluate our contributions using automated experiments showing practical applicability to real-life event data. Finally, we present a user study indicating significantly improved usefulness and ease of use of the proposed high-level variant visualization compared to existing variant visualizations for typical analysis tasks. • Definitions of process execution variants for partially ordered event data with heterogeneous temporal information. • Corresponding visualizations for the proposed process execution variant definitions. • Linking theory and practice through a fully-fledged implementation of the proposed visualizations in open-source software. • User study showing the usefulness and ease of use of the proposed variant visualization. [ABSTRACT FROM AUTHOR]

The article focuses on the evaluation and creation of visual analysis tools for use with data management. It comments on a taxonomy of interactive dynamics contributing to analytic dialogues that consists of 12 task types grouped into the categories analysis process and provenance, view manipulation, and data and view specification. It talks about alternative methods of visualization systems including data-flow graphs and formal grammars which uses data-visualization frameworks such as Protovis for the markup language HTML5. It mentions the importance of data value filtration in the visualization process and also comments on ordering or sorting of data within visualizations.

The authors argue that visual analytics can demonstrate the significance of the application programming interface (API) ecosystem. Topics include the use of mashups to use APIs by business sector, the role of digital firms in the API ecosystem, and a comparison of the API use of the retail firms Amazon.com Inc. and Wal-Mart Stores Inc.

The article focuses on research comparing the ability of people from the East and from the West to think holistically and analytically. Richard Nisbett of the University of Michigan and others have amassed evidence to suggest that differences in visual attention influence the way in which people from east and west think about the world. Westerners appear to perceive the world in an analytic way, narrowing their focus onto prominent objects, while Easterners take a more holistic view.

• A novel intuitionistic hesitant fuzzy sets based image enhancement scheme is presented for low illuminated dronogram where the hesitant score is used as a new way to measure image uncertainty. • The proposed method initially separates a dronogram into the foreground/background areas based on a global threshold, and determine the membership functions by intuitionistic hesitant fuzzification approach via hyperbolic operations in membership modification. • Finally, a highly informative and improved dronogram is obtained by defuzzification. • Results of application on a drone database indicate the efficacy of the proposed method. In this paper, we address the hesitant information in enhancement task often caused by differences in image contrast. Enhancement approaches generally use certain filters which generate artifacts or are unable to recover all the objects details in images. Typically, the contrast of an image quantifies a unique ratio between the amounts of black and white through a single pixel. However, contrast is better represented by a group of pixels. We have proposed a novel image enhancement scheme based on intuitionistic hesitant fuzzy sets (IHFSs) for drone images (dronogram) to facilitate better interpretations of target objects. First, a given dronogram is divided into foreground and background areas based on an estimated threshold from which the proposed model measures the amount of black/white intensity levels. Next, we fuzzify both of them and determine the hesitant score indicated by the distance between the two areas for each point in the fuzzy plane. Finally, a hyperbolic operator is adopted for each membership grade to improve the photographic quality leading to enhanced results via defuzzification. The proposed method is tested on a large drone image database. Results demonstrate better contrast enhancement, improved visual quality, and better recognition compared to the state-of-the-art methods. [ABSTRACT FROM AUTHOR]

The article offers information on several companies that are addressing today's demands for hardware, software, and services, as per the periodical. It mentions information on Aerospike Inc. which is providing an enterprise-grade non-relational NoSQL database that helps companies power missioncritical, strategic operational applications that make digital transformation possible; and also mentions information on Kore Technologies which offers enterprise integration and ecommerce solutions.

Highlights • Introduction of a PSO-based Newton-like method. • Modification of iteration processes. • Visual analysis of the proposed method’s behaviour. • Non-trivial and intriguing images have been obtained. Abstract Many algorithms that iteratively find solution of an equation are described in the literature. In this article we propose an algorithm that is based on the Newton–Raphson root finding method and which uses an adaptation mechanics. The adaptation mechanics is based on a linear combination of some membership functions and allows a better control of algorithm’s dynamics. The proposed approach allows to visualize the adaptation mechanics impact on the operation of the algorithm. Moreover, various iteration processes and their operation mechanics are discussed in this research. The understanding of the impact of the proposed modifications on the algorithm’s operation can be helpful at using other algorithms. The obtained visualizations have also an artistic potential and can be used for instance in creating mosaics, wallpapers etc. [ABSTRACT FROM AUTHOR]

Beijing, People's Republic of China, Asia, Data Analytics, Food Poisoning, Food Safety, Foodborne Diseases and Conditions, Gastroenterology, Information Technology, Legal Issues, Risk and Prevention Keywords: Beijing; People's Republic of China; Asia; Data Analytics; Food Poisoning; Food Safety; Foodborne Diseases and Conditions; Gastroenterology; Information Technology; Legal Issues; Risk and Prevention EN Beijing People's Republic of China Asia Data Analytics Food Poisoning Food Safety Foodborne Diseases and Conditions Gastroenterology Information Technology Legal Issues Risk and Prevention 21 21 1 09/25/23 20230928 NES 230928 2023 SEP 28 (NewsRx) -- By a News Reporter-Staff News Editor at Food Weekly News -- New research on Foodborne Diseases and Conditions - Food Safety is the subject of a report. Keywords for this news article include: Asia, Beijing, Food Safety, Legal Issues, Data Analytics, Food Poisoning, Gastroenterology, Risk and Prevention, Information Technology, People's Republic of China, Foodborne Diseases and Conditions. [Extracted from the article]

Tokyo, Japan, Asia, CDC and FDA, Emerging Technologies, Machine Learning, Dimensionality Reduction Keywords: Tokyo; Japan; Asia; CDC and FDA; Dimensionality Reduction; Emerging Technologies; Machine Learning EN Tokyo Japan Asia CDC and FDA Dimensionality Reduction Emerging Technologies Machine Learning 998 998 1 09/04/23 20230908 NES 230908 2023 SEP 10 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Letter on the CDC & FDA -- Investigators publish new report on CDC and FDA. [Extracted from the article]

The article examines several innovative technologies, their costs and benefits, and how they point the way to even more innovations to come. Topics include the use of Medicare Shared Savings Programs quality reporting tools, the use of remote monitoring visual analytics software from CaptureProof, and the behavioral health application introduced by the University of Pittsburgh Medical Center into the primary care physician's options for subsequent prescription.

Walking into the hall to deliver the speech was a "daunting experience," the speaker later recalled, but "we had projectors and all sorts of technology to help us make the case." The technology in question was PowerPoint, the presentation software produced by Microsoft. The speaker was Colin Powell, then the U.S. Secretary of State. [ABSTRACT FROM AUTHOR]

Keywords: PartsSource; Technology EN PartsSource Technology 3418 3418 1 06/26/23 20230630 NES 230630 2023 JUN 30 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Contracts take 3-4 months to negotiate and activate, with 76% at low value. Enterprise contract rationalization and workflow: PartsSource leverages its proprietary data to rationalize the right contracts into a single managed service agreement that offers one enterprise workflow and unmatched flexibility and savings. [Extracted from the article]

By working closely with health insurance audit experts, we propose FraudAuditor, a three-stage visual analytics approach to collusive fraud detection in health insurance. Keywords: Zhejiang; People's Republic of China; Asia; Health Insurance; Health and Medicine; Legal Issues EN Zhejiang People's Republic of China Asia Health Insurance Health and Medicine Legal Issues 91 91 1 06/19/23 20230623 NES 230623 2023 JUN 25 (NewsRx) -- By a News Reporter-Staff News Editor at Health Insurance Week -- Data detailed on Insurance have been presented. Keywords for this news article include: Zhejiang, People's Republic of China, Asia, Health Insurance, Health and Medicine, Legal Issues, Zhejiang University. [Extracted from the article]

Zhejiang, People's Republic of China, Asia, Cyborgs, Emerging Technologies, Machine Learning, Neurodegenerative Diseases and Conditions Keywords: Zhejiang; People's Republic of China; Asia; Cyborgs; Emerging Technologies; Machine Learning; Neurodegenerative Diseases and Conditions EN Zhejiang People's Republic of China Asia Cyborgs Emerging Technologies Machine Learning Neurodegenerative Diseases and Conditions 218 218 1 06/05/23 20230609 NES 230609 2023 JUN 5 (NewsRx) -- By a News Reporter-Staff News Editor at Pain & Central Nervous System Week -- Investigators discuss new findings in Neurodegenerative Diseases and Conditions. [Extracted from the article]

Classification can be highly challenging when the dataset is extremely large, or when the training data in the underlying domain are difficult to obtain. One feasible solution to this challenge is transfer learning, which extracts the knowledge from source tasks and applies the knowledge to target tasks. Extant transfer learning schemes typically assume that similarities between the source task and the target task to some degree. This assumption does not hold in certain actual applications; analysts unfamiliar with the learning strategy can be frustrated by the complicated transfer relations and the non-intuitive transfer process. This paper presents a suite of visual communication and interaction techniques to support the transfer learning process. Furthermore, a pioneering visual-assisted transfer learning methodology is proposed in the context of classification. Our solution includes a visual communication interface that allows for comprehensive exploration of the entire knowledge transfer process and the relevance among tasks. With these techniques and the methodology, the analysts can intuitively choose relevant tasks and data, as well as iteratively incorporate their experience and expertise into the analysis process. We demonstrate the validity and efficiency of our visual design and the analysis approach with examples of text classification. [ABSTRACT FROM AUTHOR]

The article discusses on the knowledge and concepts in information visualization. Topics mentioned include the visualization principles, techniques and types, the focus on the introduction of software tools Google Charts and Tableau, and the pre-attentive visual processing. It also mentioned the Gestalt Law that arrange visual symbols to achieve an effective visualization.

The article focuses on visual analytics (VA) and presents information on Apsara, a VA system that supports interactive analysis of multidimensional temporal data. It is mentioned that massive multidimensional temporal data with various visual encodings is represented by VA, which has been introduced in recent years.

Studies of the primate visual system have begun to test a wide range of complex computational object-vision models. Realistic models have many parameters, which in practice cannot be fitted using the limited amounts of brain-activity data typically available. Task performance optimization (e.g. using backpropagation to train neural networks) provides major constraints for fitting parameters and discovering nonlinear representational features appropriate for the task (e.g. object classification). Model representations can be compared to brain representations in terms of the representational dissimilarities they predict for an image set. This method, called representational similarity analysis (RSA), enables us to test the representational feature space as is (fixed RSA) or to fit a linear transformation that mixes the nonlinear model features so as to best explain a cortical area’s representational space (mixed RSA). Like voxel/population-receptive-field modelling, mixed RSA uses a training set (different stimuli) to fit one weight per model feature and response channel (voxels here), so as to best predict the response profile across images for each response channel. We analysed response patterns elicited by natural images, which were measured with functional magnetic resonance imaging (fMRI). We found that early visual areas were best accounted for by shallow models, such as a Gabor wavelet pyramid (GWP). The GWP model performed similarly with and without mixing, suggesting that the original features already approximated the representational space, obviating the need for mixing. However, a higher ventral-stream visual representation (lateral occipital region) was best explained by the higher layers of a deep convolutional network and mixing of its feature set was essential for this model to explain the representation. We suspect that mixing was essential because the convolutional network had been trained to discriminate a set of 1000 categories, whose frequencies in the training set did not match their frequencies in natural experience or their behavioural importance. The latter factors might determine the representational prominence of semantic dimensions in higher-level ventral-stream areas. Our results demonstrate the benefits of testing both the specific representational hypothesis expressed by a model’s original feature space and the hypothesis space generated by linear transformations of that feature space. [ABSTRACT FROM AUTHOR]

The article offers information on the identity of things strategy that address Internet of things (IoT) security. Details about the ten IoT technologies that organizations should consider are mentioned, including IoT security, IoT analytics, and IoT operating systems. Particular focus is also given to three important steps to bring devices under the identity management access (IAM) system of an organization.

Complementary and Alternative Medicine, East Asian Traditional Medicine, Health and Medicine, Traditional Chinese Medicine Keywords: Complementary and Alternative Medicine; East Asian Traditional Medicine; Health and Medicine; Traditional Chinese Medicine EN Complementary and Alternative Medicine East Asian Traditional Medicine Health and Medicine Traditional Chinese Medicine 1431 1431 1 04/24/23 20230428 NES 230428 2023 APR 28 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Current study results on traditional Chinese medicine have been published. [Extracted from the article]

According to the news editors, the research concluded: "The evidence collected in the case study shows the usefulness of a VALS-based visual analytics tool." Keywords: Clinical Research; Clinical Trials and Studies; Data Analytics; Health and Medicine; Information Technology EN Clinical Research Clinical Trials and Studies Data Analytics Health and Medicine Information Technology 1063 1063 1 04/10/23 20230410 NES 230410 2023 APR 10 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Trials Week -- Current study results on data analytics have been published. [Extracted from the article]

Keywords: Magdeburg; Germany; Europe; Cardiovascular Research; Cardiology; Health and Medicine EN Magdeburg Germany Europe Cardiovascular Research Cardiology Health and Medicine 341 341 1 03/27/23 20230327 NES 230327 2023 MAR 27 (NewsRx) -- By a News Reporter-Staff News Editor at Cardiovascular Week -- Current study results on Cardiovascular Research have been published. Keywords for this news article include: Magdeburg, Germany, Europe, Cardiovascular Research, Cardiology, Health and Medicine, University of Magdeburg. [Extracted from the article]

The article discusses employee benefit brokerages experiencing in the U.S. Topics discussed include consolidation in the employee benefits health and welfare space, need of expanding services such as analytic solutions, and growth of firms by mergers and acquisition. It further presents a chart showing brokers and their growth, revenue earning, and ranking.

The article evaluates Computer vision equipment nominated for the Vision awards at Vision show in Stuttgart, Germany, which includes line scan camera LineCam12 by Princeton Infrared technologies, photography platform Tag Zip by Tag optics and visual analytics ViDi Suite by ViDi System.

The article discusses the trends in human resource (HR) profession for 2016 in India, focusing on the talent management landscape and the increased needs for analytics tools and the importance of transparency in management. Among the trends are the need for integrated human capital management systems, employee engagement in management, and the use of community management as a talent recruitment tool.

The article discusses the advancement of business intelligence (BI) and analytics platforms across business enterprises. Topics discussed include the return on investment of end users investing in BI and analytics, cloud as a disruptive force in the field of BI and analytics, and the adoption of Internet of Things (IoT) for collecting, storing and processing of data.

The article discusses the use of real-time analytics to maximize productivity and achieve operational excellence while ensuring the quality of products and sustainability to stay ahead of the competition and improve market share. Topics mentioned include leveraging overall equipment effectiveness (OEE), the use of real-time analytics, and achieving competitive advantage and operational excellence.

The article discusses the application of user behavior analytics (UBA) in detecting advance threats. It mentions that UBA enables enterprises to detect when legitimate user accounts and identities have been compromised by external attackers or are being abused by insiders for malicious purposes. It reflects on the case of Edward Snowden who leaked classified information from the U.S. National Security Agency (NSA) in 2013.

In this article we discuss visualisation strategies for multiplex networks. Since Moreno’s early works on network analysis, visualisation has been one of the main ways to understand networks thanks to its ability to summarise a complex structure into a single representation highlighting multiple properties of the data. However, despite the large renewed interest in the analysis of multiplex networks, no study has proposed specialised visualisation approaches for this context and traditional methods are typically applied instead. In this paper we initiate a critical and structured discussion of this topic, and claim that the development of specific visualisation methods for multiplex networks will be one of the main drivers pushing current research results into daily practice. [ABSTRACT FROM AUTHOR]

The article discusses the top 12 human resource (HR) trends for 2015. Among the trends for 2015 are the priority for talent management, HR technology expected to gain significant prominence, and increased focus and attention on HR analytics. Also discussed are the increasing focus of organizations for diversity, leadership development, and strategic workforce planning.