Biblio

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2018
Wenskovitch J, Dowling M, North C. The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking. In: CHI '18 Workshop on Sensemaking in a Senseless World. CHI '18 Workshop on Sensemaking in a Senseless World. Montreal, QC, Canada; 2018. p. . cognitive-computational-benefits.pdf (374.93 KB)
Dowling M, Wenskovitch J, Hauck P, Binford A, Long T, Polys N, North C. Construction and Usage of the Semantic Interaction Pipeline. 2018:1-29. construction-usage-semantic.pdf (4.5 MB)
Li T, Luther K, North C. CrowdIA: Solving Mysteries with Crowdsourced Sensemaking. Proc. ACM Hum.-Comput. Interact. [Internet]. 2018;2. Available from: https://doi.org/10.1145/3274374 cscw105-liA.pdf (7.93 MB)
Li T, Shah A, Luther K, North C. Crowdsourcing Intelligence Analysis with Context Slices. In: CHI 2018 Workshop on Sensemaking in a Senseless World. CHI 2018 Workshop on Sensemaking in a Senseless World. ; 2018. p. . Connect_the_Dots_CHI 2018_sensemaking_final.pdf (927.85 KB)
Wenskovitch J, Bradel L, Dowling M, House L, North C. The Effect of Semantic Interaction on Foraging in Text Analysis. In: 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). ; 2018. p. . effect-semantic-interaction.pdf (1.43 MB)
Wu H, Sun M, Mi P, Ta N, North C, Ramakrishnan N. Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models. ACM Transactions on Knowledge Discovery from Data. 2018;12(1). paper.pdf (7.13 MB)
Self JZ, Dowling M, Wenskovitch J, Crandell I, Wang M, House L, Leman S, North C. Observation-Level and Parametric Interaction for High-Dimensional Data Analysis. ACM Transactions on Interactive Intelligent Systems. 2018;8(2). observation-level-parametric_first_look_version.pdf (1.82 MB)
Dowling M, Wenskovitch J, Fry JT, Leman S, House L, North C. SIRIUS: Dual, Symmetric, Interactive Dimension Reductions. In: 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). ; 2018. p. . SIRIUS 2018 v3 preprint sm.pdf (470.59 KB) SIRIUS 2018 Comparisions v3 preprint.pdf (87.44 KB)
Reach C, North C. Smooth, Efficient, and Interruptible Zooming and Panning. IEEE Transactions on Visualization & Computer Graphics . 2018. 1801.09358.pdf (1.26 MB)
Wenskovitch J, Crandell I, Ramakrishnan N, House L, Leman S, North C. Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 2018;24:131-141. systematic-combination-dimension.pdf (6 MB)
2017
Self JZ, Self N, House L, Evia JR, Leman S, North C. Bringing Interactive Visual Analytics to the Classroom for Developing EDA Skills. In: Proceedings of the 33rd Annual Consortium of Computing Sciences in Colleges (CCSC) Eastern Regional Conference. Proceedings of the 33rd Annual Consortium of Computing Sciences in Colleges (CCSC) Eastern Regional Conference. ; 2017. p. 10. ccsc_eastern_submission_final.pdf (588.97 KB)
Wenskovitch J, North C. Observation-Level Interaction with Clustering and Dimension Reduction Algorithms. In: Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. New York, NY, USA; 2017. p. 14:1–14:6. Available from: http://doi.acm.org/10.1145/3077257.3077259 HILDA17_final.pdf (691.5 KB)
Dash S, Verma A, North C, Feng W-chun. Portable Parallel Design of Weighted Multi-Dimensional Scaling for Real-Time Data Analysis. In: 2017 IEEE 19th International Conference on High Performance Computing and Communications. 2017 IEEE 19th International Conference on High Performance Computing and Communications. ; 2017. p. . dash-claret-hpcc17.pdf (445.55 KB)
2016
Mi P, Sun M, Masiane M, Cao Y, North C. AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets. Informatics [Internet]. 2016;3(4):18. Available from: http://www.mdpi.com/2227-9709/3/4/18 informatics-03-40018.pdf (2.09 MB)
Chen X, Self JZ, House L, North C. Be the Data: A New Approach for Immersive Analytics. In: IEEE Virtual Reality 2016 Workshop on Immersive Analytics. IEEE Virtual Reality 2016 Workshop on Immersive Analytics. ; 2016. p. 6. be_the_data_IA_final.pdf (538.3 KB)
Chen X, House L, Self JZ, Leman S, Evia JR, Fry JT, North C. Be the Data: An Embodied Experience for Data Analytics. In: 2016 Annual Meeting of the American Educational Research Association (AERA). 2016 Annual Meeting of the American Educational Research Association (AERA). ; 2016. p. 20. BeTheData_aera2016 new.pdf (996.6 KB)
Chen X, Self JZ, Sun M, House L, North C. Be the Data: Social Meetings with Visual Analytics. In: International Workshop on Visualization and Collaboration (VisualCol 2016). International Workshop on Visualization and Collaboration (VisualCol 2016). ; 2016. p. 8. cts2016-min.pdf (1.25 MB)
Sun M, Peng M, North C, Ramakrishnan N. BiSet: Semantic Edge Bundling with Biclusters for Sensemaking. Visualization and Computer Graphics, IEEE Transactions on. 2016;22(1):310-319. 07192715.pdf (2.6 MB)
Self JZ, Vinayagam RK, Fry JT, North C. Bridging the Gap between User Intention and Model Parameters for Data Analytics. In: SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA 2016). SIGMOD 2016 Workshop on Human-In-the-Loop Data Analytics (HILDA 2016). ; 2016. p. 6. paper6.pdf (1.46 MB)
Self JZ, Hu X, House L, Leman S, North C. Designing Usable Interactive Visual Analytics Tools for Dimension Reduction. In: CHI 2016 Workshop on Human-Centered Machine Learning (HCML). CHI 2016 Workshop on Human-Centered Machine Learning (HCML). ; 2016. p. 7. Self_design_paper_final.pdf (626.44 KB)
Mi P, Sun M, Masiane M, Cao Y, North C. Interactive Graph Layout of a Million Nodes. Informatics [Internet]. 2016;3(4):23. Available from: http://www.mdpi.com/2227-9709/3/4/23 informatics-03-00023.pdf (3.13 MB)
Sun M, Mi P, Wu H, North C, Ramakrishnan N. Usability Challenges underlying Bicluster Interaction for Sensemaking. In: CHI 2016 Workshop on Human Centred Machine Learning. CHI 2016 Workshop on Human Centred Machine Learning. ; 2016. p. 6 pages. HCML2016_paper_9.pdf (529.22 KB)
2015
Self JZ, House L, Leman S, North C. Andromeda: Observation-Level and Parametric Interaction for Exploratory Data Analysis. Blacksburg; 2015 p. . jzself-tech-report.pdf (2.5 MB)
Reach C, North C. Bandlimited OLAP cubes for interactive big data visualization. In: Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on. Chicago, IL, USA; 2015. p. 107-114. 07348078.pdf (1.62 MB)
Bradel L, Wycoff N, House L, North C. Big Text Visual Analytics in Sensemaking. In: IEEE International Symposium on Big Data Visual Analytics. IEEE International Symposium on Big Data Visual Analytics. ; 2015. p. 8 pages. BDVA_bingspire_v5c.pdf (3.34 MB)

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