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Martins, Rafael Messias, Dr.ORCID iD iconorcid.org/0000-0002-2901-935X
Publikationer (10 of 20) Visa alla publikationer
Martins, R. M. & Kerren, A. (2019). Efficient Dynamic Time Warping for Big Data Streams. In: Abe, N; Liu, H; Pu, C; Hu, X; Ahmed, N; Qiao, M; Song, Y; Kossmann, D; Liu, B; Lee, K; Tang, J; He, J; Saltz, J (Ed.), Proceedings of the IEEE International Conference on Big Data (Big Data '18): Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management. Paper presented at 3rd Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management at IEEE Big Data '18, 10-13 December, 2018, Seattle, USA (pp. 2924-2929). IEEE
Öppna denna publikation i ny flik eller fönster >>Efficient Dynamic Time Warping for Big Data Streams
2019 (Engelska)Ingår i: Proceedings of the IEEE International Conference on Big Data (Big Data '18): Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management / [ed] Abe, N; Liu, H; Pu, C; Hu, X; Ahmed, N; Qiao, M; Song, Y; Kossmann, D; Liu, B; Lee, K; Tang, J; He, J; Saltz, J, IEEE, 2019, s. 2924-2929Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Many common data analysis and machine learning algorithms for time series, such as classification, clustering, or dimensionality reduction, require a distance measurement between pairs of time series in order to determine their similarity. A variety of measures can be found in the literature, each with their own strengths and weaknesses, but the Dynamic Time Warping (DTW) distance measure has occupied an important place since its early applications for the analysis and recognition of spoken word. The main disadvantage of the DTW algorithm is, however, its quadratic time and space complexity, which limits its practical use to relatively small time series. This issue is even more problematic when dealing with streaming time series that are continuously updated, since the analysis must be re-executed regularly and with strict running time constraints. In this paper, we describe enhancements to the DTW algorithm that allow it to be used efficiently in a streaming scenario by supporting an append operation for new time steps with a linear complexity when an exact, error-free DTW is needed, and even better performance when either a Sakoe-Chiba band is used, or when a sliding window is the desired range for the data. Our experiments with one synthetic and four natural data sets have shown that it outperforms other DTW implementations and the potential errors are, in general, much lower than another state-of-the-art approximated DTW technique.

Ort, förlag, år, upplaga, sidor
IEEE, 2019
Serie
IEEE International Conference on Big Data, ISSN 2639-1589
Nyckelord
time series, dynamic time warping, streaming
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap, Informations- och programvisualisering
Identifikatorer
urn:nbn:se:lnu:diva-78735 (URN)10.1109/BigData.2018.8621878 (DOI)000468499303001 ()2-s2.0-85062589330 (Scopus ID)978-1-5386-5035-6 (ISBN)978-1-5386-5036-3 (ISBN)
Konferens
3rd Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management at IEEE Big Data '18, 10-13 December, 2018, Seattle, USA
Tillgänglig från: 2018-11-08 Skapad: 2018-11-08 Senast uppdaterad: 2019-08-29Bibliografiskt granskad
Kucher, K., Martins, R. M. & Kerren, A. (2018). Analysis of VINCI 2009–2017 Proceedings. In: Karsten Klein, Yi-Na Li, and Andreas Kerren (Ed.), Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden: . Paper presented at 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden (pp. 97-101). Association for Computing Machinery (ACM)
Öppna denna publikation i ny flik eller fönster >>Analysis of VINCI 2009–2017 Proceedings
2018 (Engelska)Ingår i: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden / [ed] Karsten Klein, Yi-Na Li, and Andreas Kerren, Association for Computing Machinery (ACM), 2018, s. 97-101Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Both the metadata and the textual contents of scientific publications can provide us with insights about the development and the current state of the corresponding scientific community. In this short paper, we take a look at the proceedings of VINCI from the previous years and conduct several types of analyses. We summarize the yearly statistics about different types of publications, identify the overall authorship statistics and the most prominent contributors, and analyze the current community structure with a co-authorship network. We also apply topic modeling to identify the most prominent topics discussed in the publications. We hope that the results of our work will provide insights for the visualization community and will also be used as an overview for researchers previously unfamiliar with VINCI.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery (ACM), 2018
Nyckelord
meta-analysis, survey, overview, visualization, scientific literature, topic modeling
Nationell ämneskategori
Datavetenskap (datalogi) Människa-datorinteraktion (interaktionsdesign) Språkteknologi (språkvetenskaplig databehandling)
Forskningsämne
Datavetenskap, Informations- och programvisualisering
Identifikatorer
urn:nbn:se:lnu:diva-75857 (URN)10.1145/3231622.3231641 (DOI)2-s2.0-85055468154 (Scopus ID)978-1-4503-6501-7 (ISBN)
Konferens
11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden
Tillgänglig från: 2018-06-13 Skapad: 2018-06-13 Senast uppdaterad: 2019-08-29Bibliografiskt granskad
Ulan, M., Hönel, S., Martins, R. M., Ericsson, M., Löwe, W., Wingkvist, A. & Kerren, A. (2018). Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities. In: J. Ángel Velázquez Iturbide, Jaime Urquiza Fuentes, Andreas Kerren, and Mircea F. Lungu (Ed.), Proceedings of the 2018 Sixth IEEE Working Conference on Software Visualization, (VISSOFT), Madrid, Spain, 2018: . Paper presented at IEEE Working Conference on Software Visualization (VISSOFT), Madrid, Spain, 24-25 September, 2018 (pp. 65-75). IEEE
Öppna denna publikation i ny flik eller fönster >>Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities
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2018 (Engelska)Ingår i: Proceedings of the 2018 Sixth IEEE Working Conference on Software Visualization, (VISSOFT), Madrid, Spain, 2018 / [ed] J. Ángel Velázquez Iturbide, Jaime Urquiza Fuentes, Andreas Kerren, and Mircea F. Lungu, IEEE, 2018, s. 65-75Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Assessing software quality, in general, is hard; each metric has a different interpretation, scale, range of values, or measurement method. Combining these metrics automatically is especially difficult, because they measure different aspects of software quality, and creating a single global final quality score limits the evaluation of the specific quality aspects and trade-offs that exist when looking at different metrics. We present a way to visualize multiple aspects of software quality. In general, software quality can be decomposed hierarchically into characteristics, which can be assessed by various direct and indirect metrics. These characteristics are then combined and aggregated to assess the quality of the software system as a whole. We introduce an approach for quality assessment based on joint distributions of metrics values. Visualizations of these distributions allow users to explore and compare the quality metrics of software systems and their artifacts, and to detect patterns, correlations, and anomalies. Furthermore, it is possible to identify common properties and flaws, as our visualization approach provides rich interactions for visual queries to the quality models’ multivariate data. We evaluate our approach in two use cases based on: 30 real-world technical documentation projects with 20,000 XML documents, and an open source project written in Java with 1000 classes. Our results show that the proposed approach allows an analyst to detect possible causes of bad or good quality.

Ort, förlag, år, upplaga, sidor
IEEE, 2018
Nyckelord
hierarchical data exploration, multivariate data visualization, joint probabilities, t-SNE, data abstraction
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign) Programvaruteknik
Forskningsämne
Datavetenskap, Informations- och programvisualisering; Datavetenskap, Programvaruteknik
Identifikatorer
urn:nbn:se:lnu:diva-78093 (URN)10.1109/VISSOFT.2018.00015 (DOI)2-s2.0-85058463111 (Scopus ID)978-1-5386-8292-0 (ISBN)978-1-5386-8293-7 (ISBN)
Konferens
IEEE Working Conference on Software Visualization (VISSOFT), Madrid, Spain, 24-25 September, 2018
Projekt
Software technology for self-adaptive systems
Forskningsfinansiär
KK-stiftelsen, 20150088
Tillgänglig från: 2018-10-01 Skapad: 2018-10-01 Senast uppdaterad: 2019-08-29Bibliografiskt granskad
Laitinen, M., Lundberg, J., Levin, M. & Martins, R. M. (2018). The Nordic Tweet Stream: A Dynamic Real-Time Monitor Corpus of Big and Rich Language Data. In: Eetu Mäkelä, Mikko Tolonen, Jouni Tuominen (Ed.), DHN 2018 Digital Humanities in the Nordic Countries 3rd Conference: Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference Helsinki, Finland, March 7-9, 2018. Paper presented at Digital Humanities in the Nordic Countries 3rd Conference, Helsinki, Finland, March 7-9, 2018 (pp. 349-362). CEUR-WS.org
Öppna denna publikation i ny flik eller fönster >>The Nordic Tweet Stream: A Dynamic Real-Time Monitor Corpus of Big and Rich Language Data
2018 (Engelska)Ingår i: DHN 2018 Digital Humanities in the Nordic Countries 3rd Conference: Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference Helsinki, Finland, March 7-9, 2018 / [ed] Eetu Mäkelä, Mikko Tolonen, Jouni Tuominen, CEUR-WS.org , 2018, s. 349-362Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This article presents the Nordic Tweet Stream (NTS), a cross-disciplinarycorpus project of computer scientists and a group of sociolinguists interestedin language variability and in the global spread of English. Our research integratestwo types of empirical data: We not only rely on traditional structured corpusdata but also use unstructured data sources that are often big and rich inmetadata, such as Twitter streams. The NTS downloads tweets and associatedmetadata from Denmark, Finland, Iceland, Norway and Sweden. We first introducesome technical aspects in creating a dynamic real-time monitor corpus, andthe following case study illustrates how the corpus could be used as empiricalevidence in sociolinguistic studies focusing on the global spread of English tomultilingual settings. The results show that English is the most frequently usedlanguage, accounting for almost a third. These results can be used to assess howwidespread English use is in the Nordic region and offer a big data perspectivethat complement previous small-scale studies. The future objectives include annotatingthe material, making it available for the scholarly community, and expandingthe geographic scope of the data stream outside Nordic region.

Ort, förlag, år, upplaga, sidor
CEUR-WS.org, 2018
Serie
CEUR Workshop Proceedings, ISSN 1613-0073 ; 2084
Nyckelord
Real-time language data, Nordic Tweet Stream, Twitter
Nationell ämneskategori
Jämförande språkvetenskap och allmän lingvistik Studier av enskilda språk
Forskningsämne
Humaniora, Engelska med språkvetenskaplig inriktning
Identifikatorer
urn:nbn:se:lnu:diva-78277 (URN)2-s2.0-85045342911 (Scopus ID)
Konferens
Digital Humanities in the Nordic Countries 3rd Conference, Helsinki, Finland, March 7-9, 2018
Projekt
DISA
Tillgänglig från: 2018-10-11 Skapad: 2018-10-11 Senast uppdaterad: 2019-05-24Bibliografiskt granskad
Chatzimparmpas, A., Martins, R. M. & Kerren, A. (2018). t-viSNE: A Visual Inspector for the Exploration of t-SNE. In: Presented at IEEE Information Visualization  (VIS '18), Berlin, Germany, 21-26 October, 2018: . Paper presented at IEEE Information Visualization (VIS '18), Berlin, Germany, 21-26 October, 2018.
Öppna denna publikation i ny flik eller fönster >>t-viSNE: A Visual Inspector for the Exploration of t-SNE
2018 (Engelska)Ingår i: Presented at IEEE Information Visualization  (VIS '18), Berlin, Germany, 21-26 October, 2018, 2018Konferensbidrag, Poster (med eller utan abstract) (Refereegranskat)
Abstract [en]

The use of t-Distributed Stochastic Neighborhood Embedding (t-SNE) for the visualization of multidimensional data has proven to be a popular approach, with applications published in a wide range of domains. Despite their usefulness, t-SNE plots can sometimes be hard to interpret or even misleading, which hurts the trustworthiness of the results. By opening the black box of the algorithm and showing insights into its behavior through visualization, we may learn how to use it in a more effective way. In this work, we present t-viSNE, a visual inspection tool that enables users to explore anomalies and assess the quality of t-SNE results by bringing forward aspects of the algorithm that would normally be lost after the dimensionality reduction process is finished.

Nyckelord
Visualization, machine learning, visual analytics, information visualization, interaction, dimensionality reduction
Nationell ämneskategori
Datavetenskap (datalogi) Människa-datorinteraktion (interaktionsdesign)
Forskningsämne
Datavetenskap, Informations- och programvisualisering
Identifikatorer
urn:nbn:se:lnu:diva-76980 (URN)
Konferens
IEEE Information Visualization (VIS '18), Berlin, Germany, 21-26 October, 2018
Tillgänglig från: 2018-07-23 Skapad: 2018-07-23 Senast uppdaterad: 2019-01-17Bibliografiskt granskad
Kruiger, J. F., Rauber, P. E., Martins, R. M., Kerren, A., Kobourov, S. & Telea, A. C. (2017). Graph Layouts by t-SNE. Paper presented at 19th EG/VGTC Conference on Visualization (EuroVis '17), 12-16 June 2017, Barcelona, Spain. Computer graphics forum (Print), 36(3), 283-294
Öppna denna publikation i ny flik eller fönster >>Graph Layouts by t-SNE
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2017 (Engelska)Ingår i: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 36, nr 3, s. 283-294Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We propose a new graph layout method based on a modification of the t-distributed Stochastic Neighbor Embedding (t-SNE) dimensionality reduction technique. Although t-SNE is one of the best techniques for visualizing high-dimensional data as 2D scatterplots, t-SNE has not been used in the context of classical graph layout. We propose a new graph layout method, tsNET, based on representing a graph with a distance matrix, which together with a modified t-SNE cost function results in desirable layouts. We evaluate our method by a formal comparison with state-of-the-art methods, both visually and via established quality metrics on a comprehensive benchmark, containing real-world and synthetic graphs. As evidenced by the quality metrics and visual inspection, tsNET produces excellent layouts.

Ort, förlag, år, upplaga, sidor
John Wiley & Sons, 2017
Nyckelord
Visualization, Graph Drawing, Information Visualization, t-SNE, Dimensionality Reduction
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap, Informations- och programvisualisering
Identifikatorer
urn:nbn:se:lnu:diva-62137 (URN)10.1111/cgf.13187 (DOI)000404881200027 ()2-s2.0-85022223094 (Scopus ID)
Konferens
19th EG/VGTC Conference on Visualization (EuroVis '17), 12-16 June 2017, Barcelona, Spain
Tillgänglig från: 2017-04-07 Skapad: 2017-04-07 Senast uppdaterad: 2019-08-29Bibliografiskt granskad
de Oliveira, R. R., Martins, R. M. & Simao, A. d. (2017). Impact of the Vendor Lock-in Problem on Testing as a Service (TaaS). In: 2017 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E 2017): . Paper presented at 5th IEEE International Conference on Cloud Engineering (IC2E), APR 04-08, 2017, Simon Fraser Univ, Vancouver, CANADA (pp. 190-196). IEEE
Öppna denna publikation i ny flik eller fönster >>Impact of the Vendor Lock-in Problem on Testing as a Service (TaaS)
2017 (Engelska)Ingår i: 2017 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E 2017), IEEE, 2017, s. 190-196Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Testing as a Service (TaaS) is a new business and service model that provides efficient and effective software quality assurance and enables the use of a cloud for the meeting of quality standards, requirements and consumer's needs. However, problems that limit the effective use of TaaS involve lack of standardization in writing, execution, configuration and management of tests and lack of portability and interoperability among TaaS platforms - the so-called lock-in problem. The lock-in problem is a serious threat to software testing in the cloud and may become critical when a provider decides to suddenly increase prices, or shows serious technical availability problems. This paper proposes a novel approach for solving the lock-in problem in TaaS with the use of design patterns. The aim to assist software engineers and quality control managers in building testing solutions that are both portable and interoperable and promote a more widespread adoption of the TaaS model in cloud computing.

Ort, förlag, år, upplaga, sidor
IEEE, 2017
Serie
International Conference on Cloud Engineering, ISSN 2373-3845
Nyckelord
Cloud Computing, Testing as a Service (TaaS), Design Patterns, Vendor Lock-in, Testing Service
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
Data- och informationsvetenskap, Datavetenskap
Identifikatorer
urn:nbn:se:lnu:diva-67052 (URN)10.1109/IC2E.2017.30 (DOI)000404168700027 ()2-s2.0-85020190361 (Scopus ID)978-1-5090-5817-4 (ISBN)
Konferens
5th IEEE International Conference on Cloud Engineering (IC2E), APR 04-08, 2017, Simon Fraser Univ, Vancouver, CANADA
Tillgänglig från: 2017-07-20 Skapad: 2017-07-20 Senast uppdaterad: 2019-08-29Bibliografiskt granskad
Martins, R. M., Kruiger, J. F., Minghim, R., Telea, A. C. & Kerren, A. (2017). MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks. In: Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll (Ed.), EuroVis 2017 - Short Papers: . Paper presented at 19th EG/VGTC Conference on Visualization (EuroVis '17), 12-16 June 2017, Barcelona, Spain (pp. 13-17). Eurographics - European Association for Computer Graphics
Öppna denna publikation i ny flik eller fönster >>MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks
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2017 (Engelska)Ingår i: EuroVis 2017 - Short Papers / [ed] Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll, Eurographics - European Association for Computer Graphics, 2017, s. 13-17Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The analysis of Multivariate Networks (MVNs) can be approached from two different perspectives: a multidimensional one, consisting of the nodes and their multiple attributes, or a relational one, consisting of the network’s topology of edges. In order to be comprehensive, a visual representation of an MVN must be able to accomodate both. In this paper, we propose a novel approach for the visualization of MVNs that works by combining these two perspectives into a single unified model, which is used as input to a dimensionality reduction method. The resulting 2D embedding takes into consideration both attribute- and edge-based similarities, with a user-controlled trade-off. We demonstrate our approach by exploring two real-world data sets: a co-authorship network and an open-source software development project. The results point out that our method is able to bring forward features of MVNs that could not be easily perceived from the investigation of the individual perspectives only. 

Ort, förlag, år, upplaga, sidor
Eurographics - European Association for Computer Graphics, 2017
Nyckelord
Multivariate Networks, Dimensionality Reduction, Visualization, Information Visualization, Visual Analytics, Network Visualization, Graph Drawing
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap, Informations- och programvisualisering
Identifikatorer
urn:nbn:se:lnu:diva-62133 (URN)10.2312/eurovisshort.20171126 (DOI)978-3-03868-043-7 (ISBN)
Konferens
19th EG/VGTC Conference on Visualization (EuroVis '17), 12-16 June 2017, Barcelona, Spain
Tillgänglig från: 2017-04-06 Skapad: 2017-04-06 Senast uppdaterad: 2018-01-13Bibliografiskt granskad
Martins, R. M., Simaki, V., Kucher, K., Paradis, C. & Kerren, A. (2017). StanceXplore: Visualization for the Interactive Exploration of Stance in Social Media. In: : . Paper presented at 2nd Workshop on Visualization for the Digital Humanities (VIS4DH '17) at IEEE VIS '17, October 2017, Phoenix, Arizona, USA.
Öppna denna publikation i ny flik eller fönster >>StanceXplore: Visualization for the Interactive Exploration of Stance in Social Media
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2017 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The use of interactive visualization techniques in Digital Humanities research can be a useful addition when traditional automated machine learning techniques face difficulties, as is often the case with the exploration of large volumes of dynamic—and in many cases, noisy and conflicting—textual data from social media. Recently, the field of stance analysis has been moving from a predominantly binary approach—either pro or con—to a multifaceted one, where each unit of text may be classified as one (or more) of multiple possible stance categories. This change adds more layers of complexity to an already hard problem, but also opens up new opportunities for obtaining richer and more relevant results from the analysis of stancetaking in social media. In this paper we propose StanceXplore, a new visualization for the interactive exploration of stance in social media. Our goal is to offer DH researchers the chance to explore stance-classified text corpora from different perspectives at the same time, using coordinated multiple views including user-defined topics, content similarity and dissimilarity, and geographical and temporal distribution. As a case study, we explore the activity of Twitter users in Sweden, analyzing their behavior in terms of topics discussed and the stances taken. Each textual unit (tweet) is labeled with one of eleven stance categories from a cognitive-functional stance framework based on recent work. We illustrate how StanceXplore can be used effectively to investigate multidimensional patterns and trends in stance-taking related to cultural events, their geographical distribution, and the confidence of the stance classifier. 

Nyckelord
Stance Visualization, Sentiment Analysis, Digital Humanities, Visual Analytics, Social Media Text
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign) Datavetenskap (datalogi) Språkteknologi (språkvetenskaplig databehandling)
Forskningsämne
Datavetenskap, Informations- och programvisualisering
Identifikatorer
urn:nbn:se:lnu:diva-67320 (URN)
Konferens
2nd Workshop on Visualization for the Digital Humanities (VIS4DH '17) at IEEE VIS '17, October 2017, Phoenix, Arizona, USA
Projekt
StaViCTADISA-DH
Forskningsfinansiär
Vetenskapsrådet, 2012-5659
Tillgänglig från: 2017-08-21 Skapad: 2017-08-21 Senast uppdaterad: 2019-04-08Bibliografiskt granskad
Coimbra, D. B., Martins, R. M., Neves, T. T. A., Telea, A. C. & Paulovich, F. V. (2016). Explaining three-dimensional dimensionality reduction plots. Information Visualization, 15(2), 154-172
Öppna denna publikation i ny flik eller fönster >>Explaining three-dimensional dimensionality reduction plots
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2016 (Engelska)Ingår i: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 15, nr 2, s. 154-172Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Understanding three-dimensional projections created by dimensionality reduction from high-variate datasets is very challenging. In particular, classical three-dimensional scatterplots used to display such projections do not explicitly show the relations between the projected points, the viewpoint used to visualize the projection, and the original data variables. To explore and explain such relations, we propose a set of interactive visualization techniques. First, we adapt and enhance biplots to show the data variables in the projected threedimensional space. Next, we use a set of interactive bar chart legends to show variables that are visible from a given viewpoint and also assist users to select an optimal viewpoint to examine a desired set of variables. Finally, we propose an interactive viewpoint legend that provides an overview of the information visible in a given three-dimensional projection from all possible viewpoints. Our techniques are simple to implement and can be applied to any dimensionality reduction technique. We demonstrate our techniques on the exploration of several real-world high-dimensional datasets.

Ort, förlag, år, upplaga, sidor
Sage Publications, 2016
Nyckelord
Dimensionality reduction, scatterplots, multivariate visualization, explanatory visualization
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap, Informations- och programvisualisering
Identifikatorer
urn:nbn:se:lnu:diva-73207 (URN)10.1177/1473871615600010 (DOI)
Tillgänglig från: 2018-04-22 Skapad: 2018-04-22 Senast uppdaterad: 2018-05-02Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-2901-935X

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