{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:08:53Z","timestamp":1760123333867,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031636455"},{"type":"electronic","value":"9783031636462"}],"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\/978-3-031-63646-2_21","type":"book-chapter","created":{"date-parts":[[2024,6,23]],"date-time":"2024-06-23T23:02:13Z","timestamp":1719183733000},"page":"321-337","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Autocompletion of Architectural Spatial Configurations Using Case-Based Reasoning, Graph Clustering, and Deep Learning"],"prefix":"10.1007","author":[{"given":"Viktor","family":"Eisenstadt","sequence":"first","affiliation":[]},{"given":"Christoph","family":"Langenhan","sequence":"additional","affiliation":[]},{"given":"Jessica","family":"Bielski","sequence":"additional","affiliation":[]},{"given":"Ralph","family":"Bergmann","sequence":"additional","affiliation":[]},{"given":"Klaus-Dieter","family":"Althoff","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,24]]},"reference":[{"key":"21_CR1","unstructured":"Anderberg, M.R.: Cluster Analysis for Applications: Probability and Mathematical Statistics: A Series of Monographs and Textbooks. Probability and mathematical statistics. Academic Press, Cambridge (1973)"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Arora, H., et al.: Consistency checker - an automatic constraint-based evaluator for housing spatial configurations. In: Proceedings of the 39th eCAADe Conference, vol.\u00a02, pp. 351\u2013358 (2021)","DOI":"10.52842\/conf.ecaade.2021.2.351"},{"key":"21_CR3","doi-asserted-by":"crossref","unstructured":"Bayer, J., Bukhari, S.S., Dengel, A.: Interactive LSTM-based design support in a sketching tool for the architectural domain - floor plan generation and auto completion based on recurrent neural networks. In: Proceedings of ICPRAM 2018, pp. 115\u2013123 (2018)","DOI":"10.5220\/0006589101150123"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Bielski, J., Langenhan, C., Eisenstadt, V., Petzold, F.: Lost in architectural designing - possible cognitive biases of architects during the early design phases. In: Sociedad Iberoamericana de Gr\u00e1fica. SiGraDi, Lima, Peru (2022)","DOI":"10.5151\/sigradi2022-sigradi2022_104"},{"key":"21_CR5","unstructured":"Cavieres, A., Bhatia, U., Joshi, P., Zhao, F., Ram, A.: CBArch: a case-based reasoning framework for conceptual design of commercial buildings. Papers from the AAAI 2011 Spring Symposium (SS-11-02), pp. 19\u201325 (2011)"},{"key":"21_CR6","unstructured":"Chiang, J.: Girvan-newman - the clustering technique in network analysis part 1 (2021). https:\/\/medium.com\/analytics-vidhya\/girvan-newman-the-clustering-technique-in-network-analysis-27fe6d665c92. Accessed 27 Mar 2024"},{"key":"21_CR7","doi-asserted-by":"publisher","first-page":"1367","DOI":"10.1109\/TPAMI.2004.75","volume":"26","author":"L Cordella","year":"2004","unstructured":"Cordella, L., Foggia, P., Sansone, C., Vento, M.: A (sub)graph isomorphism algorithm for matching large graphs. IEEE Trans. Pattern Anal. Mach. Intell. 26, 1367\u20131372 (2004)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Eisenstadt, V., Bielski, J., Langenhan, C., Althoff, K.D., Dengel, A.: Autocompletion of design data in semantic building models using link prediction and graph neural networks. In: Proceedings of the 40th eCAADe Conference, vol.\u00a01, pp. 501-510 (2022)","DOI":"10.52842\/conf.ecaade.2022.1.501"},{"key":"21_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-030-58342-2_14","volume-title":"Case-Based Reasoning Research and Development","author":"V Eisenstadt","year":"2020","unstructured":"Eisenstadt, V., Langenhan, C., Althoff, K.-D., Dengel, A.: Improved and visually enhanced case-based retrieval of room configurations for assistance in architectural design education. In: Watson, I., Weber, R. (eds.) ICCBR 2020. LNCS (LNAI), vol. 12311, pp. 213\u2013228. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58342-2_14"},{"key":"21_CR10","unstructured":"Elango, M., Devadas, M.: Identification of parameters for evaluating architectural design. a case of housing in hot and humid region, Chennai, India. In: ARCHDESIGN \u201914 (2014)"},{"key":"21_CR11","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013231. AAAI Press (1996)"},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"7821","DOI":"10.1073\/pnas.122653799","volume":"99","author":"M Girvan","year":"2002","unstructured":"Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. 99, 7821\u20137826 (2002)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"21_CR13","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016). http:\/\/www.deeplearningbook.org. Accessed 24 Mar 2024"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Haeusler, M.H., Butler, A., Gardner, N., Sepasgozar, S., Pan, S.: Wasted... again-or how to understand waste as a data problem and aiming to address the reduction of waste as a computational challenge. In: Proceedings of the 26th CAADRIA Conference, pp. 371\u2013380 (2021)","DOI":"10.52842\/conf.caadria.2021.1.371"},{"key":"21_CR15","unstructured":"HHH\u00a0GbR: Verordnung \u00fcber die honorare f\u00fcr architekten- und ingenieurleistungen (honorarordnung f\u00fcr architekten und ingenieure - hoai) - in der fassung von 2021 - (2021). https:\/\/www.hoai.de\/hoai\/volltext\/hoai-2021\/. Accessed 18 Mar 2024"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Inanc, B.S.: Casebook. an information retrieval system for housing floor plans. In: Proceedings of the 5th CAADRIA Conference, pp. 389\u2013398 (2000)","DOI":"10.52842\/conf.caadria.2000.389"},{"key":"21_CR17","doi-asserted-by":"publisher","unstructured":"Kipf, T.N., Welling, M.: Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 (2016). https:\/\/doi.org\/10.48550\/arXiv.1611.07308","DOI":"10.48550\/arXiv.1611.07308"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, Burlington (1993)","DOI":"10.1016\/B978-1-55860-237-3.50005-4"},{"key":"21_CR19","unstructured":"Mercer, A.: Artificial Intelligence in BIM and renovation. buildingSMART International (2022)"},{"key":"21_CR20","unstructured":"Mete, B., Bielski, J., Langenhan, C., Petzold, F., Eisenstadt, V., Althoff, K.D.: Predicting semantic building information (BIM) with recurrent neural networks. In: ECPPM 2022. CRC Press (2022)"},{"key":"21_CR21","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1007\/978-981-16-0739-4_63","volume-title":"Information and Communication Technology for Competitive Strategies (ICTCS 2020)","author":"T Rajasenbagam","year":"2022","unstructured":"Rajasenbagam, T., Jeyanthi, S., Uma Maheswari, N.: Floor plan designer application by predicting spatial configuration using machine learning. In: Joshi, A., Mahmud, M., Ragel, R.G., Thakur, N.V. (eds.) Information and Communication Technology for Competitive Strategies (ICTCS 2020). LNNS, vol. 191, pp. 665\u2013673. Springer, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-16-0739-4_63"},{"key":"21_CR22","doi-asserted-by":"crossref","unstructured":"Sabri, Q.U., Bayer, J., Ayzenshtadt, V., Bukhari, S.S., Althoff, K.D., Dengel, A.: Semantic pattern-based retrieval of architectural floor plans with case-based and graph-based searching techniques and their evaluation and visualization. In: Proceedings of ICPRAM 2017, vol.\u00a01, pp. 50\u201360 (2017)","DOI":"10.5220\/0006112800500060"},{"key":"21_CR23","unstructured":"Smola, A.J.: An Introduction to Machine Learning with Kernels. Lecture 1 (2004). lecture slides. Australian National University. http:\/\/alex.smola.org\/teaching\/kernelcourse\/day_1.pdf. Accessed 29 Mar 2024"},{"key":"21_CR24","doi-asserted-by":"publisher","unstructured":"Wang, M., et al.: Deep graph library: a graph-centric, highly-performant package for graph neural networks. arXiv preprint arXiv:1909.01315 (2019). https:\/\/doi.org\/10.48550\/arXiv.1909.01315","DOI":"10.48550\/arXiv.1909.01315"},{"key":"21_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1007\/3-540-64574-8_435","volume-title":"Tasks and Methods in Applied Artificial Intelligence","author":"W Wilke","year":"1998","unstructured":"Wilke, W., Bergmann, R.: Techniques and knowledge used for adaptation during case-based problem solving. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds.) IEA\/AIE 1998. LNCS, vol. 1416, pp. 497\u2013506. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/3-540-64574-8_435"},{"key":"21_CR26","unstructured":"Zhang, M., Chen, Y.: Link prediction based on graph neural networks. In: Advances in Neural Information Processing Systems (NeurIPS), vol.\u00a031, pp. 5171\u20135181. Curran Associates, Inc. (2018)"},{"key":"21_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Grignard, A., Aubuchon, A., Lyons, K., Larson, K.: Machine learning for real-time urban metrics and design recommendations. In: Proceedings of the 38th ACADIA Conference, pp. 196\u2013205 (2018)","DOI":"10.52842\/conf.acadia.2018.196"}],"container-title":["Lecture Notes in Computer Science","Case-Based Reasoning Research and Development"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-63646-2_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,23]],"date-time":"2024-06-23T23:05:24Z","timestamp":1719183924000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-63646-2_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031636455","9783031636462"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-63646-2_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"24 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Case-Based Reasoning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Merida","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","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":"1 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccbr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccbr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}