Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data
The visual analysis of multivariate projections is a challenging task, because complex visual structures occur. This causes fatigue or misinterpretations, which distorts the analysis. In fact, the same projection can lead to different analysis results. We provide visual guidance pictograms to improv...
Gespeichert in:
| Veröffentlicht in: | Computer graphics forum Jg. 34; H. 3; S. 291 - 300 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Oxford
Blackwell Publishing Ltd
01.06.2015
|
| Schlagworte: | |
| ISSN: | 0167-7055, 1467-8659 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | The visual analysis of multivariate projections is a challenging task, because complex visual structures occur. This causes fatigue or misinterpretations, which distorts the analysis. In fact, the same projection can lead to different analysis results. We provide visual guidance pictograms to improve objectivity of the visual search. A visual guidance pictogram is an iconic visual density map encoding the visual structure of certain data properties. By using them to guide the analysis, structures in the projection can be better understood and mentally linked to properties in the data. We introduce a systematic scheme for designing such pictograms and provide a set of pictograms for standard visual tasks, such as correlation and distribution analysis, for standard projections like scatterplots, RadVis, and Star Coordinates. We conduct a study that compares the visual analysis of real data with and without the support of guidance pictograms. Our tests show that the training effort for a visual search can be decreased and the analysis bias can be reduced by supporting the user's visual search with guidance pictograms. |
|---|---|
| AbstractList | The visual analysis of multivariate projections is a challenging task, because complex visual structures occur. This causes fatigue or misinterpretations, which distorts the analysis. In fact, the same projection can lead to different analysis results. We provide visual guidance pictograms to improve objectivity of the visual search. A visual guidance pictogram is an iconic visual density map encoding the visual structure of certain data properties. By using them to guide the analysis, structures in the projection can be better understood and mentally linked to properties in the data. We introduce a systematic scheme for designing such pictograms and provide a set of pictograms for standard visual tasks, such as correlation and distribution analysis, for standard projections like scatterplots, RadVis, and Star Coordinates. We conduct a study that compares the visual analysis of real data with and without the support of guidance pictograms. Our tests show that the training effort for a visual search can be decreased and the analysis bias can be reduced by supporting the user's visual search with guidance pictograms. |
| Author | Zhyhalava, Tatsiana Lehmann, Dirk J. Kemmler, Fritz Kirschke, Marco Theisel, Holger |
| Author_xml | – sequence: 1 givenname: Dirk J. surname: Lehmann fullname: Lehmann, Dirk J. organization: Visual Computing Group, University of Magdeburg, Germany – sequence: 2 givenname: Fritz surname: Kemmler fullname: Kemmler, Fritz organization: Visual Computing Group, University of Magdeburg, Germany – sequence: 3 givenname: Tatsiana surname: Zhyhalava fullname: Zhyhalava, Tatsiana organization: Visual Computing Group, University of Magdeburg, Germany – sequence: 4 givenname: Marco surname: Kirschke fullname: Kirschke, Marco organization: Visual Computing Group, University of Magdeburg, Germany – sequence: 5 givenname: Holger surname: Theisel fullname: Theisel, Holger organization: Visual Computing Group, University of Magdeburg, Germany |
| BookMark | eNp1kM1OGzEUhS0EUkPogjcYqZt2MWDHf-PuUGgCEoIgUdggWTceT-p0YoM9oxKeHkMoCwSW7Gtb3zm69-yibR-8RWif4AOS16FZNAdkJBjZQgPChCwrwdU2GmCS7xJz_gXtprTEGDMp-ADdXrvUQ-tD6pxJP4vNs5j2rgZvbDFzpguLCKtUNCEWRx7a9aPzi2IWw9KazgWfitAUJ27xp6zdyvqUv7LDMXSwh3YaaJP9-lqH6Pfk19X4pDy7mJ6Oj85KQ0VFSqMwFXPJcK0q4LjmzOYDS8UBj1hVW0EbxeY1AQA8b2StFLespgaMGXEJdIi-b3zvYrjvber0yiVj2xa8DX3SRMoKMyryHqJv79Bl6GNuOFNCyRFjRJJMHW4oE0NK0TbauA6eh-0iuFYTrJ_T1jlt_ZJ2Vvx4p7iLbgVx_SH76v7PtXb9OajH08l_RblRuNTZhzcFxL9aSCq5vjmf6uNKXU0qeqln9An0p5-T |
| CitedBy_id | crossref_primary_10_1109_TVCG_2017_2661309 crossref_primary_10_1109_TVCG_2016_2598467 crossref_primary_10_1109_TVCG_2016_2598468 crossref_primary_10_1109_TVCG_2015_2467324 crossref_primary_10_1111_cgf_13196 crossref_primary_10_1111_cgf_14034 crossref_primary_10_1016_j_jvlc_2016_07_003 crossref_primary_10_1109_TVCG_2016_2640960 crossref_primary_10_1109_TVCG_2022_3156760 crossref_primary_10_1109_TVCG_2018_2859973 crossref_primary_10_1109_TVCG_2022_3175532 crossref_primary_10_1111_cgf_14314 crossref_primary_10_1007_s41666_023_00145_2 crossref_primary_10_1111_cgf_13446 crossref_primary_10_1109_TVCG_2017_2744184 crossref_primary_10_1016_j_cag_2025_104240 crossref_primary_10_1109_TVCG_2019_2934796 crossref_primary_10_1117_1_JEI_31_6_063061 |
| Cites_doi | 10.1145/1842993.1843002 10.1007/978-3-642-04125-9_9 10.1109/VAST.2011.6102437 10.1145/276305.276314 10.1007/3-540-49257-7_15 10.1109/VISUAL.1996.568118 10.1007/978-1-4419-6515-8_19 10.1145/1998076.1998144 10.1145/272991.272995 10.1109/VAST.2010.5652392 10.1214/aoms/1177706645 10.1109/VAST.2010.5652433 10.1007/978-3-642-13672-6_13 10.1007/BF01898350 10.1111/bmsp.12006 10.1007/978-0-387-68628-8 10.1109/VAST.2009.5332628 10.1111/j.1467-8659.2012.03125.x |
| ContentType | Journal Article |
| Copyright | 2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2015 The Eurographics Association and John Wiley & Sons Ltd. |
| Copyright_xml | – notice: 2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. – notice: 2015 The Eurographics Association and John Wiley & Sons Ltd. |
| DBID | BSCLL AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D F28 FR3 |
| DOI | 10.1111/cgf.12641 |
| DatabaseName | Istex CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ANTE: Abstracts in New Technology & Engineering Engineering Research Database |
| DatabaseTitle | CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional Engineering Research Database ANTE: Abstracts in New Technology & Engineering |
| DatabaseTitleList | Technology Research Database Computer and Information Systems Abstracts CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1467-8659 |
| EndPage | 300 |
| ExternalDocumentID | 3747609791 10_1111_cgf_12641 CGF12641 ark_67375_WNG_D89TF83Q_P |
| Genre | article Feature |
| GroupedDBID | .3N .4S .DC .GA .Y3 05W 0R~ 10A 15B 1OB 1OC 29F 31~ 33P 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5HH 5LA 5VS 66C 6J9 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 8VB 930 A03 AAESR AAEVG AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABDBF ABDPE ABEML ABPVW ACAHQ ACBWZ ACCZN ACFBH ACGFS ACPOU ACRPL ACSCC ACUHS ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADMLS ADNMO ADOZA ADXAS ADZMN AEFGJ AEGXH AEIGN AEIMD AEMOZ AENEX AEUYR AEYWJ AFBPY AFEBI AFFNX AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGXDD AGYGG AHBTC AHEFC AHQJS AIDQK AIDYY AIQQE AITYG AIURR AJXKR AKVCP ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ARCSS ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BSCLL BY8 CAG COF CS3 CWDTD D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EAD EAP EBA EBO EBR EBS EBU EDO EJD EMK EST ESX F00 F01 F04 F5P FEDTE FZ0 G-S G.N GODZA H.T H.X HF~ HGLYW HVGLF HZI HZ~ I-F IHE IX1 J0M K1G K48 LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ O66 O9- OIG P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QWB R.K RDJ RIWAO RJQFR ROL RX1 SAMSI SUPJJ TH9 TN5 TUS UB1 V8K W8V W99 WBKPD WIH WIK WOHZO WQJ WXSBR WYISQ WZISG XG1 ZL0 ZZTAW ~IA ~IF ~WT AAYXX CITATION O8X 7SC 8FD JQ2 L7M L~C L~D F28 FR3 |
| ID | FETCH-LOGICAL-c3681-c9036b740d98a50d54e0d50795a0248de63f94bd1aaa0bf7d995e4d3cacc257a3 |
| IEDL.DBID | DRFUL |
| ISICitedReferencesCount | 18 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000358328200032&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0167-7055 |
| IngestDate | Fri Sep 05 10:32:35 EDT 2025 Sun Sep 07 03:48:39 EDT 2025 Tue Nov 18 21:16:30 EST 2025 Sat Nov 29 07:50:20 EST 2025 Wed Aug 20 07:25:02 EDT 2025 Sun Sep 21 06:18:33 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c3681-c9036b740d98a50d54e0d50795a0248de63f94bd1aaa0bf7d995e4d3cacc257a3 |
| Notes | Supporting InformationSupporting Information istex:8EB718E485518EFA83E6FE6072BDADCDBCFDC24E ArticleID:CGF12641 ark:/67375/WNG-D89TF83Q-P SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| PQID | 1697244171 |
| PQPubID | 30877 |
| PageCount | 10 |
| ParticipantIDs | proquest_miscellaneous_1778043604 proquest_journals_1697244171 crossref_citationtrail_10_1111_cgf_12641 crossref_primary_10_1111_cgf_12641 wiley_primary_10_1111_cgf_12641_CGF12641 istex_primary_ark_67375_WNG_D89TF83Q_P |
| PublicationCentury | 2000 |
| PublicationDate | 2015-06 June 2015 2015-06-00 20150601 |
| PublicationDateYYYYMMDD | 2015-06-01 |
| PublicationDate_xml | – month: 06 year: 2015 text: 2015-06 |
| PublicationDecade | 2010 |
| PublicationPlace | Oxford |
| PublicationPlace_xml | – name: Oxford |
| PublicationTitle | Computer graphics forum |
| PublicationTitleAlternate | Computer Graphics Forum |
| PublicationYear | 2015 |
| Publisher | Blackwell Publishing Ltd |
| Publisher_xml | – name: Blackwell Publishing Ltd |
| References | Mayorga A., Gleicher M.: Splatterplots: Overcoming overdraw in scatter plots. IEEE TVCG 19, 9 (2013). 2 Matsumoto M., Nishimura T.: Mersenne twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Trans. Model. Comput. Simul. 8, 1 (Jan. 1998), 3-30. 3 Sips M., Neubert B., Lewis J.P., Hanrahan P.: Selecting good views of high-dimensional data using class consistency. Proc. EuroVis 28, 3 (2009), 831-838. 1, 2 Inselberg A.: The plane with parallel coordinates. The Visual Computer 1, 2 (1985), 69-91. 3 Lehmann D.J., Theisel H.: Features in Continuous Parallel Coordinates. IEEE TVCG 17, 12 (2011), 1912-1921. 4 Box G. E. P., Muller M.E.: A note on the generation of random normal deviates. The Annals of Mathematical Statistics 29, 2 (1958), 610-611. 3 Sedlmair M., Tatu A., Munzner T., Tory M.: A taxonomy of visual cluster separation factors. CGF 31 (2012), 1335-1344. 2, 7 Dasgupta A., Kosara R.: Pargnostics: Screen-space metrics for parallel coordinates. IEEE TVCG 16, 6 (2010), 1017-1026. 2 Jan S.-L., Shieh G.: Sample size determinations for welch's test in one-way heteroscedastic anova. British Journal of Mathematical & Statistical Psychology 67 (2014), 72-93. 8 Agrawal R., Gehrke J., Gunopulos D., Raghavan P.: Automatic subspace clustering of high dimensional data for data mining applications. SIGMOD Rec. 27, 2 (1998), 94-105. 2 Kendall M.G.: Rank Correlation Methods. Griffin, London, England, 1970. 7 Daniels K.M., Grinstein G., Russell A., Glidden M.: Properties of normalized radial visualizations. IEEE InfoVis, 4 (2012), 273-300. 2 Bertini E.: Quality metrics in high-dimensional data visualization: An overview and systematization. IEEE TVCG 17 (2011), 2203-2212. 2 Lam H., et al.: Empirical studies in information visualization: Seven scenarios. IEEE TVCG 18, 9 (2012). 7 Lehmann D.J., Theisel H.: Orthographic star coordinates. IEEE TVCG 19, 12 (2013), 2615-2624. 3 Frank A., Asuncion A.: Uci machine learning repository, university of california, irvine, school of information and computer sciences, 2010. 7 1998; 27 2010; 16 1985; 1 2012 2011 2010 2009 1997 1996 2007 2006 2012; 18 2005 1970 2011; 17 2014; 67 2012; 31 1999 2009; 28 2013; 19 1958; 29 2000 1986 2014 2012; 4 1998; 8 e_1_2_12_3_2 Lam H. (e_1_2_12_27_2) 2012; 18 e_1_2_12_2_2 Bertini E. (e_1_2_12_7_2) 2011; 17 e_1_2_12_5_2 e_1_2_12_4_2 e_1_2_12_19_2 Lehmann D.J. (e_1_2_12_28_2) 2011; 17 e_1_2_12_18_2 e_1_2_12_17_2 e_1_2_12_16_2 Dasgupta A. (e_1_2_12_13_2) 2010; 16 e_1_2_12_37_2 e_1_2_12_38_2 e_1_2_12_39_2 Mayorga A. (e_1_2_12_30_2) 2013; 19 e_1_2_12_41_2 e_1_2_12_40_2 e_1_2_12_20_2 e_1_2_12_43_2 e_1_2_12_21_2 Sips M. (e_1_2_12_36_2) 2009; 28 e_1_2_12_42_2 e_1_2_12_22_2 e_1_2_12_23_2 e_1_2_12_25_2 Frank A. (e_1_2_12_14_2) 2010 Kendall M.G. (e_1_2_12_24_2) 1970 e_1_2_12_26_2 Daniels K.M. (e_1_2_12_12_2) 2012; 4 e_1_2_12_31_2 e_1_2_12_32_2 e_1_2_12_33_2 e_1_2_12_34_2 e_1_2_12_35_2 Hinneburg A. (e_1_2_12_15_2) 2000 e_1_2_12_11_2 e_1_2_12_10_2 e_1_2_12_6_2 e_1_2_12_9_2 e_1_2_12_8_2 Lehmann D.J. (e_1_2_12_29_2) 2013; 19 |
| References_xml | – reference: Matsumoto M., Nishimura T.: Mersenne twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Trans. Model. Comput. Simul. 8, 1 (Jan. 1998), 3-30. 3 – reference: Inselberg A.: The plane with parallel coordinates. The Visual Computer 1, 2 (1985), 69-91. 3 – reference: Bertini E.: Quality metrics in high-dimensional data visualization: An overview and systematization. IEEE TVCG 17 (2011), 2203-2212. 2 – reference: Lam H., et al.: Empirical studies in information visualization: Seven scenarios. IEEE TVCG 18, 9 (2012). 7 – reference: Agrawal R., Gehrke J., Gunopulos D., Raghavan P.: Automatic subspace clustering of high dimensional data for data mining applications. SIGMOD Rec. 27, 2 (1998), 94-105. 2 – reference: Sedlmair M., Tatu A., Munzner T., Tory M.: A taxonomy of visual cluster separation factors. CGF 31 (2012), 1335-1344. 2, 7 – reference: Sips M., Neubert B., Lewis J.P., Hanrahan P.: Selecting good views of high-dimensional data using class consistency. Proc. EuroVis 28, 3 (2009), 831-838. 1, 2 – reference: Box G. E. P., Muller M.E.: A note on the generation of random normal deviates. The Annals of Mathematical Statistics 29, 2 (1958), 610-611. 3 – reference: Kendall M.G.: Rank Correlation Methods. Griffin, London, England, 1970. 7 – reference: Lehmann D.J., Theisel H.: Orthographic star coordinates. IEEE TVCG 19, 12 (2013), 2615-2624. 3 – reference: Dasgupta A., Kosara R.: Pargnostics: Screen-space metrics for parallel coordinates. IEEE TVCG 16, 6 (2010), 1017-1026. 2 – reference: Lehmann D.J., Theisel H.: Features in Continuous Parallel Coordinates. IEEE TVCG 17, 12 (2011), 1912-1921. 4 – reference: Daniels K.M., Grinstein G., Russell A., Glidden M.: Properties of normalized radial visualizations. IEEE InfoVis, 4 (2012), 273-300. 2 – reference: Jan S.-L., Shieh G.: Sample size determinations for welch's test in one-way heteroscedastic anova. British Journal of Mathematical & Statistical Psychology 67 (2014), 72-93. 8 – reference: Mayorga A., Gleicher M.: Splatterplots: Overcoming overdraw in scatter plots. IEEE TVCG 19, 9 (2013). 2 – reference: Frank A., Asuncion A.: Uci machine learning repository, university of california, irvine, school of information and computer sciences, 2010. 7 – year: 2011 – year: 2009 – start-page: 415 year: 2000 end-page: 420 – start-page: 13 year: 2011 end-page: 20 – volume: 17 start-page: 1912 issue: 12 year: 2011 end-page: 1921 article-title: Features in Continuous Parallel Coordinates publication-title: IEEE TVCG – volume: 29 start-page: 610 issue: 2 year: 1958 end-page: 611 article-title: A note on the generation of random normal deviates publication-title: The Annals of Mathematical Statistics – volume: 18 issue: 9 year: 2012 article-title: Empirical studies in information visualization: Seven scenarios publication-title: IEEE TVCG – start-page: 437‐ff year: 1997 – year: 2007 – volume: 1 start-page: 69 issue: 2 year: 1985 end-page: 91 article-title: The plane with parallel coordinates publication-title: The Visual Computer – start-page: 56 year: 2009 end-page: 65 – year: 2000 – start-page: 19 year: 2010 end-page: 26 – volume: 19 issue: 9 year: 2013 article-title: Splatterplots: Overcoming overdraw in scatter plots publication-title: IEEE TVCG – year: 2014 – start-page: 59 year: 2009 end-page: 66 – year: 2010 – volume: 8 start-page: 3 issue: 1 year: 1998 end-page: 30 article-title: Mersenne twister: A 623‐dimensionally equidistributed uniform pseudo‐random number generator publication-title: ACM Trans. Model. Comput. Simul – year: 2012 – start-page: 470 year: 2006 end-page: 475 – start-page: 505 year: 2010 end-page: 534 – volume: 27 start-page: 94 issue: 2 year: 1998 end-page: 105 article-title: Automatic subspace clustering of high dimensional data for data mining applications publication-title: SIGMOD Rec – start-page: 109 year: 1996 end-page: 115 – volume: 16 start-page: 1017 issue: 6 year: 2010 end-page: 1026 article-title: Pargnostics: Screen‐space metrics for parallel coordinates publication-title: IEEE TVCG – volume: 19 start-page: 2615 issue: 12 year: 2013 end-page: 2624 article-title: Orthographic star coordinates publication-title: IEEE TVCG – start-page: 263ff year: 1996 – volume: 31 start-page: 1335 year: 2012 end-page: 1344 article-title: A taxonomy of visual cluster separation factors publication-title: CGF – volume: 17 start-page: 2203 year: 2011 end-page: 2212 article-title: Quality metrics in high‐dimensional data visualization: An overview and systematization publication-title: IEEE TVCG – year: 1970 – start-page: 217 year: 1999 end-page: 235 – start-page: 157 year: 2005 end-page: 164 – volume: 67 start-page: 72 year: 2014 end-page: 93 article-title: Sample size determinations for welch's test in one‐way heteroscedastic anova publication-title: British Journal of Mathematical & Statistical Psychology – start-page: 341 year: 2009 end-page: 350 – volume: 4 start-page: 273 year: 2012 end-page: 300 article-title: Properties of normalized radial visualizations publication-title: IEEE InfoVis – start-page: 297 year: 1986 end-page: 306 – start-page: 506 year: 2000 end-page: 515 – start-page: 125 year: 2010 end-page: 132 – volume: 28 start-page: 831 issue: 3 year: 2009 end-page: 838 article-title: Selecting good views of high‐dimensional data using class consistency publication-title: Proc. EuroVis – ident: e_1_2_12_39_2 doi: 10.1145/1842993.1843002 – ident: e_1_2_12_6_2 – ident: e_1_2_12_33_2 doi: 10.1007/978-3-642-04125-9_9 – ident: e_1_2_12_4_2 doi: 10.1109/VAST.2011.6102437 – start-page: 506 volume-title: VLDB ‘00: Proceedings of the 26th International Conference on Very Large Data Bases year: 2000 ident: e_1_2_12_15_2 – ident: e_1_2_12_5_2 doi: 10.1145/276305.276314 – ident: e_1_2_12_26_2 – ident: e_1_2_12_42_2 – volume-title: Uci machine learning repository year: 2010 ident: e_1_2_12_14_2 – ident: e_1_2_12_8_2 doi: 10.1007/3-540-49257-7_15 – ident: e_1_2_12_16_2 doi: 10.1109/VISUAL.1996.568118 – ident: e_1_2_12_43_2 doi: 10.1007/978-1-4419-6515-8_19 – ident: e_1_2_12_34_2 doi: 10.1145/1998076.1998144 – ident: e_1_2_12_31_2 doi: 10.1145/272991.272995 – volume: 18 issue: 9 year: 2012 ident: e_1_2_12_27_2 article-title: Empirical studies in information visualization: Seven scenarios publication-title: IEEE TVCG – ident: e_1_2_12_19_2 doi: 10.1109/VAST.2010.5652392 – ident: e_1_2_12_9_2 doi: 10.1214/aoms/1177706645 – ident: e_1_2_12_17_2 – ident: e_1_2_12_25_2 – ident: e_1_2_12_41_2 – ident: e_1_2_12_3_2 doi: 10.1109/VAST.2010.5652433 – ident: e_1_2_12_10_2 – ident: e_1_2_12_11_2 doi: 10.1007/978-3-642-13672-6_13 – volume-title: Rank Correlation Methods year: 1970 ident: e_1_2_12_24_2 – volume: 16 start-page: 1017 issue: 6 year: 2010 ident: e_1_2_12_13_2 article-title: Pargnostics: Screen‐space metrics for parallel coordinates publication-title: IEEE TVCG – ident: e_1_2_12_2_2 – ident: e_1_2_12_35_2 – volume: 4 start-page: 273 year: 2012 ident: e_1_2_12_12_2 article-title: Properties of normalized radial visualizations publication-title: IEEE InfoVis – ident: e_1_2_12_32_2 – volume: 19 issue: 9 year: 2013 ident: e_1_2_12_30_2 article-title: Splatterplots: Overcoming overdraw in scatter plots publication-title: IEEE TVCG – ident: e_1_2_12_18_2 – ident: e_1_2_12_20_2 doi: 10.1007/BF01898350 – volume: 28 start-page: 831 issue: 3 year: 2009 ident: e_1_2_12_36_2 article-title: Selecting good views of high‐dimensional data using class consistency publication-title: Proc. EuroVis – ident: e_1_2_12_22_2 doi: 10.1111/bmsp.12006 – volume: 19 start-page: 2615 issue: 12 year: 2013 ident: e_1_2_12_29_2 article-title: Orthographic star coordinates publication-title: IEEE TVCG – ident: e_1_2_12_40_2 – volume: 17 start-page: 2203 year: 2011 ident: e_1_2_12_7_2 article-title: Quality metrics in high‐dimensional data visualization: An overview and systematization publication-title: IEEE TVCG – ident: e_1_2_12_21_2 doi: 10.1007/978-0-387-68628-8 – ident: e_1_2_12_23_2 – volume: 17 start-page: 1912 issue: 12 year: 2011 ident: e_1_2_12_28_2 article-title: Features in Continuous Parallel Coordinates publication-title: IEEE TVCG – ident: e_1_2_12_38_2 doi: 10.1109/VAST.2009.5332628 – ident: e_1_2_12_37_2 doi: 10.1111/j.1467-8659.2012.03125.x |
| SSID | ssj0004765 |
| Score | 2.2279017 |
| Snippet | The visual analysis of multivariate projections is a challenging task, because complex visual structures occur. This causes fatigue or misinterpretations,... |
| SourceID | proquest crossref wiley istex |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 291 |
| SubjectTerms | Analysis Categories and Subject Descriptors (according to ACM CCS) Computer graphics Density Distortion Fatigue (materials) I.3.3 [Computer Graphics]: Picture/Image Generation-Viewing algorithms Multivariate analysis Pictographs Projection Searching Studies Tasks Visual Visualization |
| Title | Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data |
| URI | https://api.istex.fr/ark:/67375/WNG-D89TF83Q-P/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fcgf.12641 https://www.proquest.com/docview/1697244171 https://www.proquest.com/docview/1778043604 |
| Volume | 34 |
| WOSCitedRecordID | wos000358328200032&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVWIB databaseName: Wiley Online Library customDbUrl: eissn: 1467-8659 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004765 issn: 0167-7055 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NbtQwEB5Vuz3AAcqfWGiRQQhxCUrWsR2XE-qS5YBWC2qhJyzHdtCKKos2uwhx4hH6jH2SepwfthKVkLhEiTKORuOZzIw9_gbgOe7dlILjyn0porS0NNKSsYhzJm3GMc21odmEmM2y01M534HX3VmYBh-iX3BDywj_azRwXdRbRm6-lq8S78596jMce71lAxhOPuYn7_8cixScddDeCBrTAgthIU8_-Io7GqJkf16JNbcj1uBy8tv_xewe3GojTfKmUY07sOOqu3BzC3_wHnz5tKg3-qxaBrDmQ9I8kulmYVEZyHxh1qF8qyY-tiUBwOSXH0nmzfoNqixZlgSLRS5-n1vsFNCgfJCJXuv7cJK_PT56F7UNFyJDeZZERnp_Vog0tjLTLLYsdf4SC8k0Qp9Zx2kp08ImWuu4KIWVkrnUUqON8aav6QMYVMvKPQSSOiekZYxa5wOIYqwd94GPKLTJEppaMYKXndyVadHIsSnGmeqyEi8yFUQ2gmc96fcGguNvRC_C5PUUevUNa9YEU59nUzXJ5HGe0Q9qPoL9bnZVa661SjxzY2zG5r_ztH_tDQ13T3TllhtPIxCrifI49byHub6eG3U0zcPNo38nfQw3fDDGmjK0fRisVxt3ALvmx3pRr560un0JaK38HQ |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3di9QwEA_HraA--C2unhpFxJdKe81HI_cit3ZPXJdV9vSeLqRJKotHV_bjOHzyT_Bv9C-5mfTDPVAQfCktnZRhMtOZTCa_IeQZ7t2UUmDmvpQRK10aGcV5JARXLhO4zHWh2YQcj7OjIzXZInvtWZgaH6JLuKFlhP81GjgmpDes3H4pXybgz2Ht02OgRqDfvcHH_HD0-1ykFLzF9kbUmAZZCCt5usEX_FEPRXt2IdjcDFmDz8mv_x-3N8i1Jtakr2vluEm2fHWLXN1AILxNjj_NlmtzUs0DXPMrWj_S4XrmUB3oZGZXoYBrSSG6pQHC5DuMpJM6g4NKS-clxXKRXz9-OuwVUON80IFZmTvkMH8z3T-ImpYLkU1FlkRWgUcrJIudygyPHWceLrFU3CD4mfMiLRUrXGKMiYtSOqW4Zy61xlowfpPeJdvVvPL3CGXeS-U4T52HEKLYNV5A6CMLY7MkZU72yYtW8No2eOTYFuNEt-sSEJkOIuuTpx3ptxqE409Ez8PsdRRm8RWr1iTXn8dDPcjUNM_SD3rSJzvt9OrGYJc6AeZ2sR0bfOdJ9xpMDfdPTOXna6CRiNaUipgB72Gy_86N3h_m4eb-v5M-JpcPpu9HevR2_O4BuQKhGa-L0nbI9mqx9g_JJXu6mi0XjxpFPwd9_AAc |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3di9QwEB-OXRF9OL9x9dQoIr5U2ms-msMXubWreCxV7vSeDGmSyuLRPfbjEJ_8E-5v9C8xk364BwqCL6WlkzJMZjozyeQ3AE9x76YSHFfuKxHRyqaRloxFnDNpM45prg3NJsR0mh0fy2ILXnZnYRp8iH7BDS0j_K_RwN2prTas3HypXiTen_vcZ0ixicwAhuMP-dHB73ORgrMO2xtRY1pkIazk6Qdf8EdDFO23C8HmZsgafE5-7f-4vQ7bbaxJXjXKcQO2XH0Trm4gEN6Czx9ny7U-qecBrnmPNI9ksp5ZVAdSzMwqFHAtiY9uSYAw-e5HkqJZwUGlJfOKYLnIzx_nFnsFNDgfZKxX-jYc5a8P999EbcuFyKQ8SyIjvUcrBY2tzDSLLaPOX2IhmUbwM-t4Wkla2kRrHZeVsFIyR21qtDHe-HV6Bwb1vHZ3gVDnhLSMpdb5EKLc1Y770EeU2mRJSq0YwfNO8Mq0eOTYFuNEdXmJF5kKIhvBk570tAHh-BPRszB7PYVefMWqNcHUp-lEjTN5mGfpe1WMYKebXtUa7FIlnrldbMfmv_O4f-1NDfdPdO3ma08jEK0p5TH1vIfJ_js3an-Sh5t7_076CC4X41wdvJ2-uw9XfGTGmpq0HRisFmv3AC6Zs9VsuXjY6vkvCQr_iA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Visualnostics%3A+Visual+Guidance+Pictograms+for+Analyzing+Projections+of+High-dimensional+Data&rft.jtitle=Computer+graphics+forum&rft.au=Lehmann%2C+Dirk+J.&rft.au=Kemmler%2C+Fritz&rft.au=Zhyhalava%2C+Tatsiana&rft.au=Kirschke%2C+Marco&rft.date=2015-06-01&rft.pub=Blackwell+Publishing+Ltd&rft.issn=0167-7055&rft.eissn=1467-8659&rft.volume=34&rft.issue=3&rft.spage=291&rft.epage=300&rft_id=info:doi/10.1111%2Fcgf.12641&rft.externalDBID=n%2Fa&rft.externalDocID=ark_67375_WNG_D89TF83Q_P |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-7055&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-7055&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-7055&client=summon |