Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Toward automatic comparison of visualization techniques: Application to graph visualization
Many end-user evaluations of data visualization techniques have been run during the last decades. Their results are cornerstones to build efficient visualization systems. However, designing such an evaluation is always c…
BIG-bench Machine LearningData VisualizationA Semi-Automated Approach for Information Extraction, Classification and Analysis of Unstructured Data
In this paper, we show how Quantitative Narrative Analysis and simple Natural Language Processing techniques apply to the extraction and categorization of data in a sample case study of the Diary of the former President …
Data VisualizationGeneral Classificationnamed-entity-recognitionNamed Entity Recognition+1Going Negative Online? -- A Study of Negative Advertising on Social Media
A growing number of empirical studies suggest that negative advertising is effective in campaigning, while the mechanisms are rarely mentioned. With the scandal of Cambridge Analytica and Russian intervention behind the …
Data VisualizationSentiment AnalysisCapacity Preserving Mapping for High-dimensional Data Visualization
We provide a rigorous mathematical treatment to the crowding issue in data visualization when high dimensional data sets are projected down to low dimensions for visualization. By properly adjusting the capacity of high …
Data VisualizationDimensionality ReductionVocal Bursts Intensity PredictionMapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics
Where do firms innovate? Mapping their locations and directions in technological space is challenging due to its high dimensionality. We propose a new method to characterize firms' inventive activities via topological da…
ClusteringData VisualizationTopological Data AnalysisTwo Decades of Network Science as seen through the co-authorship network of network scientists
Complex networks have attracted a great deal of research interest in the last two decades since Watts & Strogatz, Barab\'asi & Albert and Girvan & Newman published their highly-cited seminal papers on small-world network…
Data VisualizationLandmark Map: An Extension of the Self-Organizing Map for a User-Intended Nonlinear Projection
The self-organizing map (SOM) is an unsupervised artificial neural network that is widely used in, e.g., data mining and visualization. Supervised and semi-supervised learning methods have been proposed for the SOM. Howe…
Data VisualizationRecommendation SystemsMultivariate Spatial Data Visualization: A Survey
Multivariate spatial data plays an important role in computational science and engineering simulations. The potential features and hidden relationships in multivariate data can assist scientists to gain an in-depth under…
Data VisualizationSurveyVisualization of Very Large High-Dimensional Data Sets as Minimum Spanning Trees
The chemical sciences are producing an unprecedented amount of large, high-dimensional data sets containing chemical structures and associated properties. However, there are currently no algorithms to visualize such data…
Data VisualizationAnalyzing the Fine Structure of Distributions
One aim of data mining is the identification of interesting structures in data. For better analytical results, the basic properties of an empirical distribution, such as skewness and eventual clipping, i.e. hard limits i…
Data VisualizationDensity EstimationFast Record Linkage for Company Entities
Record linkage is an essential part of nearly all real-world systems that consume structured and unstructured data coming from different sources. Typically no common key is available for connecting records. Massive data …
Data IntegrationData VisualizationA Physical Testbed for Intelligent Transportation Systems
Intelligent transportation systems (ITSs) and other smart-city technologies are increasingly advancing in capability and complexity. While simulation environments continue to improve, their fidelity and ease of use can q…
Data VisualizationManagementCoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis
Computer vision based object tracking has been used to annotate and augment sports video. For sports learning and training, video replay is often used in post-match review and training review for tactical analysis and mo…
Data VisualizationObject TrackingDigiVoice: Voice Biomarker Featurization and Analysis Pipeline
In recent years, data-driven models have enabled significant advances in medicine. Simultaneously, voice has shown potential for analysis in precision medicine as a biomarker for screening illnesses. There has been a gro…
Data Visualizationfeature selectionSpaceland Embedding of Sparse Stochastic Graphs
We introduce a nonlinear method for directly embedding large, sparse, stochastic graphs into low-dimensional spaces, without requiring vertex features to reside in, or be transformed into, a metric space. Graph data and …
Data VisualizationDimensionality ReductionGraph EmbeddingFOBE and HOBE: First- and High-Order Bipartite Embeddings
Typical graph embeddings may not capture type-specific bipartite graph features that arise in such areas as recommender systems, data visualization, and drug discovery. Machine learning methods utilized in these applicat…
Data VisualizationDrug DiscoveryLink PredictionRecommendation Systems+1Matlab vs. OpenCV: A Comparative Study of Different Machine Learning Algorithms
Scientific Computing relies on executing computer algorithms coded in some programming languages. Given a particular available hardware, algorithms speed is a crucial factor. There are many scientific computing environme…
BIG-bench Machine LearningData VisualizationLocal Deep-Feature Alignment for Unsupervised Dimension Reduction
This paper presents an unsupervised deep-learning framework named Local Deep-Feature Alignment (LDFA) for dimension reduction. We construct neighbourhood for each data sample and learn a local Stacked Contractive Auto-en…
ClusteringData VisualizationDimensionality ReductionLumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices
With the increasing computational power of today's workstations, real-time physically-based rendering is within reach, rapidly gaining attention across a variety of domains. These have expeditiously applied to medicine, …
Data VisualizationImage GenerationNavigatejMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
This paper describes jMetalPy, an object-oriented Python-based framework for multi-objective optimization with metaheuristic techniques. Building upon our experiences with the well-known jMetal framework, we have develop…
Data Visualization