{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T14:06:20Z","timestamp":1746626780349,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031154706"},{"type":"electronic","value":"9783031154713"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-15471-3_9","type":"book-chapter","created":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T09:04:42Z","timestamp":1662887082000},"page":"98-110","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Comparing Clustering Techniques on\u00a0Brazilian Legal Document Datasets"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5706-6065","authenticated-orcid":false,"given":"Jo\u00e3o Pedro","family":"Lima","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1290-6454","authenticated-orcid":false,"given":"Jos\u00e9 Alfredo","family":"Costa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,12]]},"reference":[{"issue":"2","key":"9_CR1","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3390\/computation8020030","volume":"8","author":"J Aguilar","year":"2020","unstructured":"Aguilar, J., Salazar, C., Velasco, H., Monsalve-Pulido, J., Montoya, E.: Comparison and evaluation of different methods for the feature extraction from educational contents. Computation 8(2), 30 (2020)","journal-title":"Computation"},{"issue":"1","key":"9_CR2","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/S0306-4573(02)00021-3","volume":"39","author":"A Aizawa","year":"2003","unstructured":"Aizawa, A.: An information-theoretic perspective of tf-idf measures. Inf. Process. Manag. 39(1), 45\u201365 (2003)","journal-title":"Inf. Process. Manag."},{"key":"9_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/978-3-030-86230-5_6","volume-title":"Progress in Artificial Intelligence","author":"DC Ara\u00fajo","year":"2021","unstructured":"Ara\u00fajo, D.C., Lima, A., Lima, J.P., Costa, J.A.: A comparison of classification methods applied to legal text data. In: Marreiros, G., Melo, F.S., Lau, N., Lopes Cardoso, H., Reis, L.P. (eds.) EPIA 2021. LNCS (LNAI), vol. 12981, pp. 68\u201380. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86230-5_6"},{"issue":"1","key":"9_CR4","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.patcog.2012.07.021","volume":"46","author":"O Arbelaitz","year":"2013","unstructured":"Arbelaitz, O., Gurrutxaga, I., Muguerza, J., P\u00e9rez, J.M., Perona, I.: An extensive comparative study of cluster validity indices. Pattern Recogn. 46(1), 243\u2013256 (2013)","journal-title":"Pattern Recogn."},{"key":"9_CR5","unstructured":"CNJ - Conselho Nacional de Justi\u00e7a: Relat\u00f3rio Justi\u00e7a em N\u00fameros (2020)"},{"key":"9_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1007\/978-3-642-28885-2_31","volume-title":"Computational Processing of the Portuguese Language","author":"LO de Colla Furquim","year":"2012","unstructured":"de Colla Furquim, L.O., de Lima, V.L.S.: Clustering and categorization of Brazilian Portuguese legal documents. In: Caseli, H., Villavicencio, A., Teixeira, A., Perdig\u00e3o, F. (eds.) PROPOR 2012. LNCS (LNAI), vol. 7243, pp. 272\u2013283. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-28885-2_31"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Costa, J.A.F., de Andrade Netto, M.L.: Clustering of complex shaped data sets via Kohonen maps and mathematical morphology. In: Dasarathy, B.V. (ed.) Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, vol. 4384, pp. 16\u201327. International Society for Optics and Photonics, SPIE (2001)","DOI":"10.1117\/12.421088"},{"key":"9_CR8","unstructured":"Elkan, C.: Using the triangle inequality to accelerate k-means. In: Proceedings of the 20th International Conference on Machine Learning (ICML 2003), pp. 147\u2013153 (2003)"},{"key":"9_CR9","unstructured":"G\u00f3rski, L.: Towards legal change analysis: clustering of polish civil code amendments. In: ASAIL@ ICAIL (2019)"},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.patrec.2015.04.009","volume":"64","author":"C Hennig","year":"2015","unstructured":"Hennig, C.: What are the true clusters? Pattern Recogn. Lett. 64, 53\u201362 (2015)","journal-title":"Pattern Recogn. Lett."},{"key":"9_CR11","unstructured":"Kawintiranon, K., Liu, Y.: Towards automatic comparison of data privacy documents: a preliminary experiment on gdpr- like laws. arXiv preprint arXiv:2105.10117 (2021)"},{"issue":"9","key":"9_CR12","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1109\/5.58325","volume":"78","author":"T Kohonen","year":"1990","unstructured":"Kohonen, T.: The self-organizing map. Proc. IEEE 78(9), 1464\u20131480 (1990)","journal-title":"Proc. IEEE"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Liu, F., Xiong, L.: Survey on text clustering algorithm -research present situation of text clustering algorithm. In: 2011 IEEE 2nd International Conference on Software Engineering and Service Science, pp. 196\u2013199 (2011)","DOI":"10.1109\/ICSESS.2011.5982288"},{"issue":"2","key":"9_CR14","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"11","key":"9_CR15","doi-asserted-by":"publisher","first-page":"205","DOI":"10.21105\/joss.00205","volume":"2","author":"L McInnes","year":"2017","unstructured":"McInnes, L., Healy, J., Astels, S.: hdbscan: hierarchical density based clustering. J. Open Source Softw. 2(11), 205 (2017)","journal-title":"J. Open Source Softw."},{"key":"9_CR16","unstructured":"de Oliveira, R.S., Nascimento, E.G.S.: Brazilian court documents clustered by similarity together using natural language processing approaches with transformers. arXiv preprint arXiv:2204.07182 (2022)"},{"key":"9_CR17","unstructured":"Poudyal, P., Gon\u00e7alves, T., Quaresma, P.: Using clustering techniques to identify arguments in legal documents. In: ASAIL@ ICAIL (2019)"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Rani, U., Sahu, S.: Comparison of clustering techniques for measuring similarity in articles. In: 2017 3rd International Conference on Computational Intelligence Communication Technology (CICT), pp. 1\u20137 (2017)","DOI":"10.1109\/CIACT.2017.7977377"},{"key":"9_CR19","unstructured":"Rehurek, R., Sojka, P.: Gensim-python framework for vector space modelling. NLP Centre, Faculty of Informatics, Masaryk University, Brno, Czech Republic, vol. 3, no. 2 (2011)"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"R\u00f6der, M., Both, A., Hinneburg, A.: Exploring the space of topic coherence measures. In: Proceedings of the Eighth ACM International ConfERENCE on Web Search and Data Mining, pp. 399\u2013408 (2015)","DOI":"10.1145\/2684822.2685324"},{"key":"9_CR21","doi-asserted-by":"crossref","unstructured":"Sabo, I.C., Dal Pont, T.R., Wilton, P.E.V., Rover, A.J., H\u00fcbner, J.F.: Clustering of brazilian legal judgments about failures in air transport service: an evaluation of different approaches. In: Artificial Intelligence and Law, pp. 1\u201337 (2021)","DOI":"10.1007\/s10506-021-09287-3"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Sculley, D.: Web-scale k-means clustering. In: Proceedings of the 19th International Conference on World Wide Web, pp. 1177\u20131178 (2010)","DOI":"10.1145\/1772690.1772862"},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"de Souto, M.C., Coelho, A.L., Faceli, K., Sakata, T.C., Bonadia, V., Costa, I.G.: A comparison of external clustering evaluation indices in the context of imbalanced data sets. In: 2012 Brazilian Symposium on Neural Networks, pp. 49\u201354. IEEE (2012)","DOI":"10.1109\/SBRN.2012.25"},{"key":"9_CR24","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.jbi.2018.09.008","volume":"87","author":"Y Wang","year":"2018","unstructured":"Wang, Y., et al.: A comparison of word embeddings for biomedical natural language processing. J. Biomed. Inf. 87, 12\u201320 (2018)","journal-title":"J. Biomed. Inf."},{"key":"9_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113367","volume":"151","author":"Q Xu","year":"2020","unstructured":"Xu, Q., Zhang, Q., Liu, J., Luo, B.: Efficient synthetical clustering validity indexes for hierarchical clustering. Expert Syst. Appl. 151, 113367 (2020)","journal-title":"Expert Syst. Appl."},{"issue":"8","key":"9_CR26","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1109\/TPAMI.2005.160","volume":"27","author":"J Yu","year":"2005","unstructured":"Yu, J.: General c-means clustering model. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1197\u20131211 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-15471-3_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T17:01:20Z","timestamp":1727974880000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-15471-3_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031154706","9783031154713"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-15471-3_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"12 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Artificial Intelligence Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salamancaa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hais2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2022.haisconference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"67","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}