{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T23:15:51Z","timestamp":1778541351956,"version":"3.51.4"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031716324","type":"print"},{"value":"9783031716331","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-71633-1_14","type":"book-chapter","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T01:02:16Z","timestamp":1725584536000},"page":"192-205","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Simplifying Data Analysis: A Visualization Framework and Practical Application for Complex BEV Data"],"prefix":"10.1007","author":[{"given":"Daniel","family":"Niedermayr","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8647-9512","authenticated-orcid":false,"given":"Manuel","family":"Brunner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3484-6368","authenticated-orcid":false,"given":"Shailesh","family":"Tripathi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0373-6625","authenticated-orcid":false,"given":"Herbert","family":"Jodlbauer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,7]]},"reference":[{"key":"14_CR1","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1007\/s12351-019-00530-z","volume":"19","author":"C Burnay","year":"2019","unstructured":"Burnay, C., Dargam, F., Zarate, P.: Special issue: data visualization for decision-making: an important issue. Oper. Res. Int. J. 19, 853\u2013855 (2019). https:\/\/doi.org\/10.1007\/s12351-019-00530-z","journal-title":"Oper. Res. Int. J."},{"key":"14_CR2","doi-asserted-by":"publisher","first-page":"2497","DOI":"10.3390\/su14052497","volume":"14","author":"N Bachmann","year":"2022","unstructured":"Bachmann, N., Tripathi, S., Brunner, M., Jodlbauer, H.: The contribution of data-driven technologies in achieving the sustainable development goals. Sustainability. 14, 2497 (2022). https:\/\/doi.org\/10.3390\/su14052497","journal-title":"Sustainability."},{"key":"14_CR3","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.promfg.2020.02.062","volume":"42","author":"M Brunner","year":"2020","unstructured":"Brunner, M., Wolfartsberger, J.: Virtual reality enriched business model canvas building blocks for enhancing customer retention. Procedia Manuf. 42, 154\u2013157 (2020). https:\/\/doi.org\/10.1016\/j.promfg.2020.02.062","journal-title":"Procedia Manuf."},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1016\/j.procs.2022.12.297","volume":"217","author":"M Brunner","year":"2023","unstructured":"Brunner, M., Jodlbauer, H., Bachmann, N., Tripathi, S.: Implementing virtuality in production-a design science approach. Procedia Comput. Sci. 217, 988\u2013997 (2023)","journal-title":"Procedia Comput. Sci."},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Perdana, A., Robb, A., Rohde, F.: Does visualization matter?: the role of interactive data visualization to make sense of information. Australas. J. Inf. Syst. 22 (2018)","DOI":"10.3127\/ajis.v22i0.1681"},{"key":"14_CR6","doi-asserted-by":"publisher","unstructured":"Piontek, S., L\u00f6dding, H.: User-centric digital assistance with smart tools for manual assembly processes. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds.) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol. 663, pp. 101\u2013109. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16407-1_13","DOI":"10.1007\/978-3-031-16407-1_13"},{"key":"14_CR7","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1109\/TVCG.2020.3028889","volume":"27","author":"T Fujiwara","year":"2020","unstructured":"Fujiwara, T., Sakamoto, N., Nonaka, J., Yamamoto, K., Ma, K.-L.: A visual analytics framework for reviewing multivariate time-series data with dimensionality reduction. IEEE Trans. Vis. Comput. Graph. 27, 1601\u20131611 (2020)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"14_CR8","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.inffus.2020.01.005","volume":"59","author":"S Ayesha","year":"2020","unstructured":"Ayesha, S., Hanif, M.K., Talib, R.: Overview and comparative study of dimensionality reduction techniques for high dimensional data. Inf. Fusion 59, 44\u201358 (2020)","journal-title":"Inf. Fusion"},{"key":"14_CR9","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1038\/s43586-022-00184-w","volume":"2","author":"M Greenacre","year":"2022","unstructured":"Greenacre, M., Groenen, P.J., Hastie, T., d\u2019Enza, A.I., Markos, A., Tuzhilina, E.: Principal component analysis. Nat. Rev. Meth. Primers 2, 100 (2022)","journal-title":"Nat. Rev. Meth. Primers"},{"key":"14_CR10","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1080\/00401706.2015.1093962","volume":"58","author":"M Hubert","year":"2016","unstructured":"Hubert, M., Reynkens, T., Schmitt, E., Verdonck, T.: Sparse PCA for high-dimensional data with outliers. Technometrics 58, 424\u2013434 (2016). https:\/\/doi.org\/10.1080\/00401706.2015.1093962","journal-title":"Technometrics"},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-031-10370-4_8","volume-title":"Essays on Contemporary Psychometrics","author":"JR Van Ginkel","year":"2023","unstructured":"Van Ginkel, J.R.: Handling missing data in principal component analysis using multiple imputation. In: Van Der Ark, L.A., Emons, W.H.M., Meijer, R.R. (eds.) Essays on Contemporary Psychometrics, pp. 141\u2013161. Springer International Publishing, Cham (2023)"},{"key":"14_CR12","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1016\/j.asoc.2011.11.026","volume":"12","author":"KY Chan","year":"2012","unstructured":"Chan, K.Y., Kwong, C.K., Hu, B.Q.: Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods. Appl. Soft Comput. 12, 1371\u20131378 (2012)","journal-title":"Appl. Soft Comput."},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s40537-020-0286-0","volume":"7","author":"M Alkhayrat","year":"2020","unstructured":"Alkhayrat, M., Aljnidi, M., Aljoumaa, K.: A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA. J Big Data. 7, 9 (2020). https:\/\/doi.org\/10.1186\/s40537-020-0286-0","journal-title":"J Big Data."},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.procs.2024.01.007","volume":"232","author":"S Tripathi","year":"2024","unstructured":"Tripathi, S., Bachmann, N., Brunner, M., Jodlbauer, H.: Exploring time-based characteristics of the E-Car market for effective market segmentation. Procedia Comput. Sci. 232, 64\u201376 (2024)","journal-title":"Procedia Comput. Sci."},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"1739","DOI":"10.1016\/j.procs.2024.01.172","volume":"232","author":"H Jodlbauer","year":"2024","unstructured":"Jodlbauer, H., Tripathi, S., Bachmann, N., Brunner, M., Piereder, A.: Market data exploitation: exemplified by the battery electric vehicle market. Procedia Comput. Sci. 232, 1739\u20131747 (2024)","journal-title":"Procedia Comput. Sci."},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Runkler, T.A.: Data visualization. In: Data Analytics, pp. 37\u201359. Springer Fachmedien Wiesbaden, Wiesbaden (2020)","DOI":"10.1007\/978-3-658-29779-4_4"},{"key":"14_CR17","doi-asserted-by":"publisher","first-page":"2663","DOI":"10.1007\/s40747-021-00637-x","volume":"8","author":"W Jia","year":"2022","unstructured":"Jia, W., Sun, M., Lian, J., Hou, S.: Feature dimensionality reduction: a review. Complex Intell. Syst. 8, 2663\u20132693 (2022). https:\/\/doi.org\/10.1007\/s40747-021-00637-x","journal-title":"Complex Intell. Syst."},{"key":"14_CR18","doi-asserted-by":"publisher","first-page":"108912","DOI":"10.1016\/j.cie.2022.108912","volume":"175","author":"A Sheikh-Zadeh","year":"2023","unstructured":"Sheikh-Zadeh, A., Scott, M.A., Enayaty-Ahangar, F.: The role of prescriptive data and non-linear dimension-reduction methods in spare part classification. Comput. Ind. Eng. 175, 108912 (2023)","journal-title":"Comput. Ind. Eng."},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Guan, Y., Lu, X., Gao, X., Zhou, H., Liu, Y., Tian, G.: Cluster analysis of power user loads based on KPCA and K-means++. In: 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), pp. 229\u2013233. IEEE (2022)","DOI":"10.1109\/ICBAIE56435.2022.9985833"},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Fonseca, A., Santos, C.O., Nakasuga, W., Abreu, J., Ribera, D., Jacometti, W.: Combining machine learning and dimensionality reduction techniques to provide an efficient customer segmentation: a case of CAS tecnologia smart grid power system in Brazil. In: 2023 15th IEEE International Conference on Industry Applications (INDUSCON), pp. 823\u2013829. IEEE (2023)","DOI":"10.1109\/INDUSCON58041.2023.10375059"},{"key":"14_CR21","doi-asserted-by":"publisher","first-page":"6529","DOI":"10.3233\/JIFS-189491","volume":"40","author":"H Liu","year":"2021","unstructured":"Liu, H.: Big data precision marketing and consumer behavior analysis based on fuzzy clustering and PCA model. J. Intell. Fuzzy Syst. 40, 6529\u20136539 (2021)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Valdiviezo-Diaz, P.: Partitional clustering based on PCA method for segmentation of products. In: 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1\u20134. IEEE (2021)","DOI":"10.23919\/CISTI52073.2021.9476226"},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"Kurasova, O., Bud\u017eys, A., Medvedev, V.: Exploring multidimensional embeddings for decision support using advanced visualization techniques. In: Informatics, p. 11. Multidisciplinary Digital Publishing Institute (2024)","DOI":"10.3390\/informatics11010011"},{"key":"14_CR24","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1016\/j.eswa.2018.11.002","volume":"119","author":"SL France","year":"2019","unstructured":"France, S.L., Ghose, S.: Marketing analytics: methods, practice, implementation, and links to other fields. Expert Syst. Appl. 119, 456\u2013475 (2019)","journal-title":"Expert Syst. Appl."},{"key":"14_CR25","doi-asserted-by":"publisher","first-page":"391","DOI":"10.2501\/IJMR-53-3-391-414","volume":"53","author":"MN Tuma","year":"2011","unstructured":"Tuma, M.N., Decker, R., Scholz, S.W.: A survey of the challenges and pifalls of cluster analysis application in market segmentation. Int. J. Mark. Res. 53, 391\u2013414 (2011)","journal-title":"Int. J. Mark. Res."},{"key":"14_CR26","doi-asserted-by":"publisher","unstructured":"Duda, J., Oleszek, S.: Concept of PLM application integration with VR and AR techniques. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds.) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol. 592, pp. 91\u201399. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-57997-5_11","DOI":"10.1007\/978-3-030-57997-5_11"},{"key":"14_CR27","doi-asserted-by":"publisher","unstructured":"Riedel, A., Gerlach, J., Dietsch, M., Engelmann, F., Brehm, N., Pfeifroth, T.: Evaluating augmented reality, deep learning and paper-based assistance systems in industrial manual assembly. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., Von Cieminski, G., and Romero, D. (eds.) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. pp. 417\u2013431. Springer Nature Switzerland, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-43662-8_30","DOI":"10.1007\/978-3-031-43662-8_30"},{"key":"14_CR28","doi-asserted-by":"crossref","unstructured":"Cawthon, N., Moere, A.V.: The effect of aesthetic on the usability of data visualization. In: Presented at the 2007 11th International Conference Information Visualization (IV\u201907) (2007)","DOI":"10.1109\/IV.2007.147"},{"key":"14_CR29","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1111\/cgf.14447","volume":"41","author":"B Fr\u00f6hler","year":"2022","unstructured":"Fr\u00f6hler, B., et al.: A survey on cross-virtuality analytics. Comput. Graph. Forum 41, 465\u2013494 (2022). https:\/\/doi.org\/10.1111\/cgf.14447","journal-title":"Comput. Graph. Forum"},{"key":"14_CR30","doi-asserted-by":"publisher","first-page":"1315","DOI":"10.1016\/j.jmb.2019.01.033","volume":"431","author":"M El Beheiry","year":"2019","unstructured":"El Beheiry, M., Doutreligne, S., Caporal, C., Ostertag, C., Dahan, M., Masson, J.-B.: Virtual reality: beyond visualization. J. Mol. Biol. 431, 1315\u20131321 (2019)","journal-title":"J. Mol. Biol."},{"key":"14_CR31","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1109\/TVCG.2016.2599107","volume":"23","author":"M Cordeil","year":"2016","unstructured":"Cordeil, M., Dwyer, T., Klein, K., Laha, B., Marriott, K., Thomas, B.H.: Immersive collaborative analysis of network connectivity: CAVE-style or head-mounted display? IEEE Trans. Visual Comput. Graph. 23, 441\u2013450 (2016)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"14_CR32","doi-asserted-by":"publisher","unstructured":"Kim, M., Park, K.-B., Choi, S.H., Lee, J.Y., Kim, D.Y.: AR\/VR-based live manual for user-centric smart factory services. In: Moon, I., Lee, G.M., Park, J., Kiritsis, D., and Von Cieminski, G. (eds.) Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, pp. 417\u2013421. Springer International Publishing, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99707-0_52","DOI":"10.1007\/978-3-319-99707-0_52"},{"key":"14_CR33","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.promfg.2019.03.006","volume":"31","author":"D Sonntag","year":"2019","unstructured":"Sonntag, D., Albuquerque, G., Magnor, M., Bodensiek, O.: Hybrid learning environments by data-driven augmented reality. Procedia Manuf. 31, 32\u201337 (2019)","journal-title":"Procedia Manuf."},{"key":"14_CR34","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.autcon.2019.02.007","volume":"103","author":"J-R Lin","year":"2019","unstructured":"Lin, J.-R., Cao, J., Zhang, J.-P., van Treeck, C., Frisch, J.: Visualization of indoor thermal environment on mobile devices based on augmented reality and computational fluid dynamics. Autom. Constr. 103, 26\u201340 (2019)","journal-title":"Autom. Constr."}],"container-title":["IFIP Advances in Information and Communication Technology","Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71633-1_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T01:04:41Z","timestamp":1725584681000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71633-1_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031716324","9783031716331"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71633-1_14","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"7 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"APMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Advances in Production Management Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chemnitz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"43","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apms2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.apms-conference.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}