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Volumn 1, Issue 1, 2017, Pages 48-56

Towards better analysis of machine learning models: A visual analytics perspective

Author keywords

Diagnosis; Interactive model analysis; Interactive visualization; Machine learning; Refinement; Understanding

Indexed keywords

DATA ANALYTICS; DATA MINING; DATA VISUALIZATION; DIAGNOSIS; LEARNING SYSTEMS; MACHINE LEARNING; TURING MACHINES; VISUALIZATION;

EID: 85066750614     PISSN: 25432656     EISSN: 2468502X     Source Type: Journal    
DOI: 10.1016/j.visinf.2017.01.006     Document Type: Article
Times cited : (371)

References (53)
  • 1
    • 84909592940 scopus 로고    scopus 로고
    • Visual methods for analyzing probabilistic classification data
    • Alsallakh, B., Hanbury, A., Hauser, H., Miksch, S., Rauber, A., Visual methods for analyzing probabilistic classification data. IEEE TVCG 20:12 (2014), 1703–1712, 10.1109/TVCG.2014.2346660.
    • (2014) IEEE TVCG , vol.20 , Issue.12 , pp. 1703-1712
    • Alsallakh, B.1    Hanbury, A.2    Hauser, H.3    Miksch, S.4    Rauber, A.5
  • 2
    • 84946584360 scopus 로고    scopus 로고
    • Modeltracker: Redesigning performance analysis tools for machine learning
    • In: CHI
    • Amershi, S., Chickering, M., Drucker, S.M., Lee, B., Simard, P., Suh, J. 2015. Modeltracker: Redesigning performance analysis tools for machine learning. In: CHI, pp. 337–346. http://dx.doi.org/10.1145/2702123.2702509.
    • (2015) , pp. 337-346
    • Amershi, S.1    Chickering, M.2    Drucker, S.M.3    Lee, B.4    Simard, P.5    Suh, J.6
  • 3
    • 84946616173 scopus 로고    scopus 로고
    • Targetvue: Visual analysis of anomalous user behaviors in online communication systems
    • Cao, N., Shi, C., Lin, S., Lu, J., Lin, Y.R., Lin, C.Y., Targetvue: Visual analysis of anomalous user behaviors in online communication systems. IEEE TVCG 22:1 (2016), 280–289.
    • (2016) IEEE TVCG , vol.22 , Issue.1 , pp. 280-289
    • Cao, N.1    Shi, C.2    Lin, S.3    Lu, J.4    Lin, Y.R.5    Lin, C.Y.6
  • 4
    • 84898939461 scopus 로고    scopus 로고
    • Scalable inference for logistic-normal topic models
    • In: NIPS
    • Chen, J., Zhu, J., Wang, Z., Zheng, X., Zhang, B. 2013. Scalable inference for logistic-normal topic models. In: NIPS.
    • (2013)
    • Chen, J.1    Zhu, J.2    Wang, Z.3    Zheng, X.4    Zhang, B.5
  • 5
    • 84886684025 scopus 로고    scopus 로고
    • Utopian: User-driven topic modeling based on interactive nonnegative matrix factorization
    • Choo, J., Lee, C., Reddy, C.K., Park, H., Utopian: User-driven topic modeling based on interactive nonnegative matrix factorization. IEEE TVCG 19:12 (2013), 1992–2001, 10.1109/TVCG.2013.212.
    • (2013) IEEE TVCG , vol.19 , Issue.12 , pp. 1992-2001
    • Choo, J.1    Lee, C.2    Reddy, C.K.3    Park, H.4
  • 6
    • 84930699781 scopus 로고    scopus 로고
    • Topic model diagnostics: Assessing domain relevance via topical alignment
    • In: ICML
    • Chuang, J., Gupta, S., Manning, C.D., Heer, J. 2013. Topic model diagnostics: Assessing domain relevance via topical alignment. In: ICML, pp. 612–620.
    • (2013) , pp. 612-620
    • Chuang, J.1    Gupta, S.2    Manning, C.D.3    Heer, J.4
  • 7
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • Cohn, D., Atlas, L., Ladner, R., Improving generalization with active learning. Mach. Learn. 15:2 (1994), 201–221.
    • (1994) Mach. Learn. , vol.15 , Issue.2 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 8
    • 0029679131 scopus 로고    scopus 로고
    • Active learning with statistical models
    • Cohn, D.A., Ghahramani, Z., Jordan, M.I., Active learning with statistical models. JAIR 4:1 (1996), 129–145.
    • (1996) JAIR , vol.4 , Issue.1 , pp. 129-145
    • Cohn, D.A.1    Ghahramani, Z.2    Jordan, M.I.3
  • 9
    • 72849131594 scopus 로고    scopus 로고
    • Ma, K.L. 2009. A framework for uncertainty-aware visual analytics. In: VAST
    • Correa, C.D., Chan, Y.H., Ma, K.L. 2009. A framework for uncertainty-aware visual analytics. In: VAST, pp. 51–58.
    • Correa, C.D.1    Chan, Y.H.2
  • 10
    • 0000089430 scopus 로고
    • Visualizing learning and computation in artificial neural networks
    • Craven, M.W., Shavlik, J.W., Visualizing learning and computation in artificial neural networks. Int. J. Artif. Intell. Tools 1:03 (1992), 399–425.
    • (1992) Int. J. Artif. Intell. Tools , vol.1 , Issue.3 , pp. 399-425
    • Craven, M.W.1    Shavlik, J.W.2
  • 11
    • 80955143433 scopus 로고    scopus 로고
    • TextFlow: Towards better understanding of evolving topics in text
    • Cui, W., Liu, S., Tan, L., Shi, C., Song, Y., Gao, Z., Qu, H., Tong, X., TextFlow: Towards better understanding of evolving topics in text. IEEE TVCG 17:12 (2011), 2412–2421.
    • (2011) IEEE TVCG , vol.17 , Issue.12 , pp. 2412-2421
    • Cui, W.1    Liu, S.2    Tan, L.3    Shi, C.4    Song, Y.5    Gao, Z.6    Qu, H.7    Tong, X.8
  • 12
    • 84909635750 scopus 로고    scopus 로고
    • How hierarchical topics evolve in large text corpora
    • Cui, W., Liu, S., Wu, Z., Wei, H., How hierarchical topics evolve in large text corpora. IEEE TVCG 20:12 (2014), 2281–2290.
    • (2014) IEEE TVCG , vol.20 , Issue.12 , pp. 2281-2290
    • Cui, W.1    Liu, S.2    Wu, Z.3    Wei, H.4
  • 13
    • 85066750599 scopus 로고    scopus 로고
    • DAR Explainable Artificial Intelligence (XAI).
    • DAR, 2016. Explainable Artificial Intelligence (XAI). http://www.darpa.mil/program/explainable-artificial-intelligence.
    • (2016)
  • 14
    • 84982728842 scopus 로고    scopus 로고
    • Topic-and time-oriented visual text analysis
    • Dou, W., Liu, S., Topic-and time-oriented visual text analysis. IEEE Comput. Graph. Appl. 36:4 (2016), 8–13.
    • (2016) IEEE Comput. Graph. Appl. , vol.36 , Issue.4 , pp. 8-13
    • Dou, W.1    Liu, S.2
  • 15
    • 84886651912 scopus 로고    scopus 로고
    • HierarchicalTopics: Visually exploring large text collections using topic hierarchies
    • Dou, W., Yu, L., Wang, X., Ma, Z., Ribarsky, W., HierarchicalTopics: Visually exploring large text collections using topic hierarchies. IEEE TVCG 19:12 (2013), 2002–2011.
    • (2013) IEEE TVCG , vol.19 , Issue.12 , pp. 2002-2011
    • Dou, W.1    Yu, L.2    Wang, X.3    Ma, Z.4    Ribarsky, W.5
  • 16
    • 84883123245 scopus 로고    scopus 로고
    • Visual analytics infrastructures: From data management to exploration
    • Fekete, J.-D., Visual analytics infrastructures: From data management to exploration. Computer 46:7 (2013), 22–29.
    • (2013) Computer , vol.46 , Issue.7 , pp. 22-29
    • Fekete, J.-D.1
  • 17
    • 84952683708 scopus 로고    scopus 로고
    • An interactive node-link visualization of convolutional neural networks
    • Springer
    • Harley, A.W., An interactive node-link visualization of convolutional neural networks. International Symposium on Visual Computing, 2015, Springer, 867–877.
    • (2015) International Symposium on Visual Computing , pp. 867-877
    • Harley, A.W.1
  • 18
    • 84867642215 scopus 로고    scopus 로고
    • Visual classifier training for text document retrieval
    • Heimerl, F., Koch, S., Bosch, H., Ertl, T., Visual classifier training for text document retrieval. IEEE TVCG 18:12 (2012), 2839–2848.
    • (2012) IEEE TVCG , vol.18 , Issue.12 , pp. 2839-2848
    • Heimerl, F.1    Koch, S.2    Bosch, H.3    Ertl, T.4
  • 19
    • 84876231242 scopus 로고    scopus 로고
    • Hinton, G.E. 2012. Imagenet classification with deep convolutional neural networks. In: NIPS
    • Krizhevsky, A., Sutskever, I., Hinton, G.E. 2012. Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1097–1105.
    • Krizhevsky, A.1    Sutskever, I.2
  • 20
    • 84949683101 scopus 로고    scopus 로고
    • Human-level concept learning through probabilistic program induction
    • Lake, B.M., Salakhutdinov, R., Tenenbaum, J.B., Human-level concept learning through probabilistic program induction. Science 350:6266 (2015), 1332–1338.
    • (2015) Science , vol.350 , Issue.6266 , pp. 1332-1338
    • Lake, B.M.1    Salakhutdinov, R.2    Tenenbaum, J.B.3
  • 21
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • LeCun, Y., Bengio, Y., Hinton, G., Deep learning. Nature 521:7553 (2015), 436–444.
    • (2015) Nature , vol.521 , Issue.7553 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3
  • 22
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Seung, H.S., Learning the parts of objects by non-negative matrix factorization. Nature 401:6755 (1999), 788–791.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 23
    • 84946593219 scopus 로고    scopus 로고
    • Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model
    • Letham, B., Rudin, C., McCormick, T.H., Madigan, D., Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model. Ann. Appl. Stat. 9:3 (2015), 1350–1371.
    • (2015) Ann. Appl. Stat. , vol.9 , Issue.3 , pp. 1350-1371
    • Letham, B.1    Rudin, C.2    McCormick, T.H.3    Madigan, D.4
  • 24
    • 84919877524 scopus 로고    scopus 로고
    • A survey on information visualization: Recent advances and challenges
    • Liu, S., Cui, W., Wu, Y., Liu, M., A survey on information visualization: Recent advances and challenges. The Visual Computer 30:12 (2014), 1373–1393.
    • (2014) The Visual Computer , vol.30 , Issue.12 , pp. 1373-1393
    • Liu, S.1    Cui, W.2    Wu, Y.3    Liu, M.4
  • 25
    • 84947080779 scopus 로고    scopus 로고
    • An uncertainty-aware approach for exploratory microblog retrieval
    • Liu, M., Liu, S., Zhu, X., Liao, Q., Wei, F., Pan, S., An uncertainty-aware approach for exploratory microblog retrieval. IEEE TVCG 22:1 (2016), 250–259, 10.1109/TVCG.2015.2467554.
    • (2016) IEEE TVCG , vol.22 , Issue.1 , pp. 250-259
    • Liu, M.1    Liu, S.2    Zhu, X.3    Liao, Q.4    Wei, F.5    Pan, S.6
  • 26
    • 84999288596 scopus 로고    scopus 로고
    • Towards better analysis of deep convolutional neural networks
    • Liu, M., Shi, J., Li, Z., Li, C., Zhu, J.J.H., Liu, S., Towards better analysis of deep convolutional neural networks. IEEE TVCG 23:1 (2017), 91–100, 10.1109/IEEE TVCG.2016.2598831.
    • (2017) IEEE TVCG , vol.23 , Issue.1 , pp. 91-100
    • Liu, M.1    Shi, J.2    Li, Z.3    Li, C.4    Zhu, J.J.H.5    Liu, S.6
  • 27
    • 84929470844 scopus 로고    scopus 로고
    • 2014b. TopicPanorama: A full picture of relevant topics. In: VAST
    • Liu, S., Wang, X., Chen, J., Zhu, J., Guo, B. 2014b. TopicPanorama: A full picture of relevant topics. In: VAST, pp. 183–192. http://dx.doi.org/10.1109/VAST.2014.7042494.
    • Liu, S.1    Wang, X.2    Chen, J.3    Zhu, J.4    Guo, B.5
  • 28
    • 84989957110 scopus 로고    scopus 로고
    • Online visual analytics of text streams
    • Liu, S., Yin, J., Wang, X., Cui, W., Cao, K., Pei, J., Online visual analytics of text streams. IEEE TVCG 22:11 (2016), 2451–2466, 10.1109/IEEE TVCG.2015.2509990.
    • (2016) IEEE TVCG , vol.22 , Issue.11 , pp. 2451-2466
    • Liu, S.1    Yin, J.2    Wang, X.3    Cui, W.4    Cao, K.5    Pei, J.6
  • 29
    • 84863233384 scopus 로고    scopus 로고
    • TIARA: Interactive, topic-based visual text summarization and analysis
    • Liu, S., Zhou, M.X., Pan, S., Song, Y., Qian, W., Cai, W., Lian, X., TIARA: Interactive, topic-based visual text summarization and analysis. ACM TIST 3:2 (2012), 25:1–25:28.
    • (2012) ACM TIST , vol.3 , Issue.2 , pp. 251-25:28
    • Liu, S.1    Zhou, M.X.2    Pan, S.3    Song, Y.4    Qian, W.5    Cai, W.6    Lian, X.7
  • 30
    • 57249084011 scopus 로고    scopus 로고
    • Visualizing data using t-SNE
    • Maaten, L.v.d., Hinton, G., Visualizing data using t-SNE. J. Mach. Learn. Res. 9:Nov (2008), 2579–2605.
    • (2008) J. Mach. Learn. Res. , vol.9 , Issue.Nov , pp. 2579-2605
    • Maaten, L.V.D.1    Hinton, G.2
  • 31
    • 0002332781 scopus 로고    scopus 로고
    • Employing EM and pool-based active learning for text classification
    • In: ICML
    • McCallumzy, A.K., Nigamy, K. 1998. Employing EM and pool-based active learning for text classification. In: ICML, pp. 359–367.
    • (1998) , pp. 359-367
    • McCallumzy, A.K.1    Nigamy, K.2
  • 32
    • 84910028061 scopus 로고    scopus 로고
    • Opening the black box: Strategies for increased user involvement in existing algorithm implementations
    • Mühlbacher, T., Piringer, H., Gratzl, S., Sedlmair, M., Streit, M., Opening the black box: Strategies for increased user involvement in existing algorithm implementations. IEEE TVCG 20:12 (2014), 1643–1652, 10.1109/IEEE TVCG.2014.2346578.
    • (2014) IEEE TVCG , vol.20 , Issue.12 , pp. 1643-1652
    • Mühlbacher, T.1    Piringer, H.2    Gratzl, S.3    Sedlmair, M.4    Streit, M.5
  • 33
    • 80955157799 scopus 로고    scopus 로고
    • Improved similarity trees and their application to visual data classification
    • Paiva, J.G., Florian, L., Pedrini, H., Telles, G., Minghim, R., Improved similarity trees and their application to visual data classification. IEEE TVCG 17:12 (2011), 2459–2468.
    • (2011) IEEE TVCG , vol.17 , Issue.12 , pp. 2459-2468
    • Paiva, J.G.1    Florian, L.2    Pedrini, H.3    Telles, G.4    Minghim, R.5
  • 34
    • 84915819887 scopus 로고    scopus 로고
    • An approach to supporting incremental visual data classification
    • Paiva, J.G.S., Schwartz, W.R., Pedrini, H., Minghim, R., An approach to supporting incremental visual data classification. IEEE TVCG 21:1 (2015), 4–17, 10.1109/TVCG.2014.2331979.
    • (2015) IEEE TVCG , vol.21 , Issue.1 , pp. 4-17
    • Paiva, J.G.S.1    Schwartz, W.R.2    Pedrini, H.3    Minghim, R.4
  • 35
    • 84979024063 scopus 로고    scopus 로고
    • Approximated and user steerable tSNE for progressive visual analytics
    • Pezzotti, N., Lelieveldt, B., Maaten, L.V.D., Hollt, T., Eisemann, E., Vilanova, A., Approximated and user steerable tSNE for progressive visual analytics. IEEE TVCG PP:99 (2016), 1–14, 10.1109/TVCG.2016.2570755.
    • (2016) IEEE TVCG , vol.PP , Issue.99 , pp. 1-14
    • Pezzotti, N.1    Lelieveldt, B.2    Maaten, L.V.D.3    Hollt, T.4    Eisemann, E.5    Vilanova, A.6
  • 36
    • 84998953869 scopus 로고    scopus 로고
    • Visualizing the hidden activity of artificial neural networks
    • Rauber, P.E., Fadel, S., Falcao, A., Telea, A., Visualizing the hidden activity of artificial neural networks. IEEE TVCG 23:1 (2017), 101–110, 10.1109/TVCG.2016.2598838.
    • (2017) IEEE TVCG , vol.23 , Issue.1 , pp. 101-110
    • Rauber, P.E.1    Fadel, S.2    Falcao, A.3    Telea, A.4
  • 37
    • 84998817113 scopus 로고    scopus 로고
    • Squares: Supporting interactive performance analysis for multiclass classifiers
    • Ren, D., Amershi, S., Lee, B., Suh, J., Williams, J.D., Squares: Supporting interactive performance analysis for multiclass classifiers. IEEE TVCG 23:1 (2017), 61–70, 10.1109/TVCG.2016.2598828.
    • (2017) IEEE TVCG , vol.23 , Issue.1 , pp. 61-70
    • Ren, D.1    Amershi, S.2    Lee, B.3    Suh, J.4    Williams, J.D.5
  • 38
    • 84946595461 scopus 로고    scopus 로고
    • The role of uncertainty, awareness, and trust in visual analytics
    • Sacha, D., Senaratne, H., Kwon, B.C., Ellis, G., Keim, D.A., The role of uncertainty, awareness, and trust in visual analytics. IEEE TVCG 22:1 (2016), 240–249.
    • (2016) IEEE TVCG , vol.22 , Issue.1 , pp. 240-249
    • Sacha, D.1    Senaratne, H.2    Kwon, B.C.3    Ellis, G.4    Keim, D.A.5
  • 40
    • 84910037964 scopus 로고    scopus 로고
    • Progressive visual analytics: User-driven visual exploration of in-progress analytics
    • Stolper, C.D., Perer, A., Gotz, D., Progressive visual analytics: User-driven visual exploration of in-progress analytics. IEEE TVCG 20:12 (2014), 1653–1662, 10.1109/TVCG.2014.2346574.
    • (2014) IEEE TVCG , vol.20 , Issue.12 , pp. 1653-1662
    • Stolper, C.D.1    Perer, A.2    Gotz, D.3
  • 41
    • 85066766995 scopus 로고    scopus 로고
    • Alvarez, S.A. Nvis: An interactive visualization tool for neural networks
    • Streeter, M.J., Ward, M.O., Alvarez, S.A., 2001. Nvis: An interactive visualization tool for neural networks.
    • (2001)
    • Streeter, M.J.1    Ward, M.O.2
  • 42
    • 84999287019 scopus 로고    scopus 로고
    • An analysis of machine- and human-analytics in classification
    • Tam, G.L., Kothari, V., Chen, M., An analysis of machine- and human-analytics in classification. IEEE TVCG 23:1 (2017), 71–80, 10.1109/TVCG.2016.2598829.
    • (2017) IEEE TVCG , vol.23 , Issue.1 , pp. 71-80
    • Tam, G.L.1    Kothari, V.2    Chen, M.3
  • 43
    • 85027200499 scopus 로고    scopus 로고
    • A model explanation system: Latest updates and extensions
    • In: ICML Workshop
    • Turner, R. 2016. A model explanation system: Latest updates and extensions. In: ICML Workshop.
    • (2016)
    • Turner, R.1
  • 44
    • 85066298343 scopus 로고    scopus 로고
    • Ma, K.L. 2004. Acluster-space visual interface for arbitrary dimensional classification of volume data. In: Sixth Joint Eurographics - IEEE TCVG Conference on Visualization
    • Tzeng, F.Y., Ma, K.L. 2004. Acluster-space visual interface for arbitrary dimensional classification of volume data. In: Sixth Joint Eurographics - IEEE TCVG Conference on Visualization, pp. 17–24. http://dx.doi.org/10.2312/VisSym/VisSym04/017-024.
    • Tzeng, F.Y.1
  • 45
    • 33749837830 scopus 로고    scopus 로고
    • Ma, K.L. 2005. Opening the black box - data driven visualization of neural networks. In: IEEE Visualization
    • Tzeng, F.Y., Ma, K.L. 2005. Opening the black box - data driven visualization of neural networks. In: IEEE Visualization, pp. 383–390. http://dx.doi.org/10.1109/VISUAL.2005.1532820.
    • Tzeng, F.Y.1
  • 46
    • 84994032729 scopus 로고    scopus 로고
    • TopicPanorama: A full picture of relevant topics
    • Wang, X., Liu, S., Liu, J., Chen, J., Zhu, J., Guo, B., TopicPanorama: A full picture of relevant topics. IEEE TVCG 22:12 (2016), 2508–2521, 10.1109/TVCG.2016.2515592.
    • (2016) IEEE TVCG , vol.22 , Issue.12 , pp. 2508-2521
    • Wang, X.1    Liu, S.2    Liu, J.3    Chen, J.4    Zhu, J.5    Guo, B.6
  • 47
    • 85015215625 scopus 로고    scopus 로고
    • Mining evolutionary multi-branch trees from text streams
    • In: KDD
    • Wang, X., Liu, S., Song, Y., Guo, B. 2013. Mining evolutionary multi-branch trees from text streams. In: KDD, pp. 722–730.
    • (2013) , pp. 722-730
    • Wang, X.1    Liu, S.2    Song, Y.3    Guo, B.4
  • 48
    • 57349156610 scopus 로고    scopus 로고
    • Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization
    • In: SIGIR
    • Wei, F., Li, W., Lu, Q., He, Y. 2008. Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization. In: SIGIR, pp. 283–290.
    • (2008) , pp. 283-290
    • Wei, F.1    Li, W.2    Lu, Q.3    He, Y.4
  • 50
    • 78149254580 scopus 로고    scopus 로고
    • OpinionSeer: Interactive visualization of hotel customer feedback
    • Wu, Y., Wei, F., Liu, S., Au, N., Cui, W., Zhou, H., Qu, H., OpinionSeer: Interactive visualization of hotel customer feedback. IEEE TVCG 16:6 (2010), 1109–1118.
    • (2010) IEEE TVCG , vol.16 , Issue.6 , pp. 1109-1118
    • Wu, Y.1    Wei, F.2    Liu, S.3    Au, N.4    Cui, W.5    Zhou, H.6    Qu, H.7
  • 51
    • 84867645714 scopus 로고    scopus 로고
    • Visualizing flow of uncertainty through analytical processes
    • Wu, Y., Yuan, G.X., Ma, K.L., Visualizing flow of uncertainty through analytical processes. IEEE TVCG 18:12 (2012), 2526–2535.
    • (2012) IEEE TVCG , vol.18 , Issue.12 , pp. 2526-2535
    • Wu, Y.1    Yuan, G.X.2    Ma, K.L.3
  • 52
    • 85045441680 scopus 로고    scopus 로고
    • Graying the black box: Understanding dqns
    • In: ICML
    • Zahavy, T., Ben-Zrihem, N., Mannor, S. 2016. Graying the black box: Understanding dqns. In: ICML pp. 1899–1908.
    • (2016) , pp. 1899-1908
    • Zahavy, T.1    Ben-Zrihem, N.2    Mannor, S.3
  • 53
    • 84910048383 scopus 로고    scopus 로고
    • #FluxFlow: Visual analysis of anomalous information spreading on social media
    • Zhao, J., Cao, N., Wen, Z., Song, Y., Lin, Y.R., Collins, C., #FluxFlow: Visual analysis of anomalous information spreading on social media. IEEE TVCG 20:12 (2014), 1773–1782.
    • (2014) IEEE TVCG , vol.20 , Issue.12 , pp. 1773-1782
    • Zhao, J.1    Cao, N.2    Wen, Z.3    Song, Y.4    Lin, Y.R.5    Collins, C.6


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