{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:44:50Z","timestamp":1742913890552,"version":"3.40.3"},"publisher-location":"Cham","reference-count":6,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031398209"},{"type":"electronic","value":"9783031398216"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-39821-6_28","type":"book-chapter","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T21:01:25Z","timestamp":1692133285000},"page":"337-343","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Subspace Clustering Technique Using Multi-objective Functions for\u00a0Multi-class Categorical Data"],"prefix":"10.1007","author":[{"given":"Rahmah","family":"Brnawy","sequence":"first","affiliation":[]},{"given":"Nematollaah","family":"Shiri","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,16]]},"reference":[{"issue":"7","key":"28_CR1","doi-asserted-by":"publisher","first-page":"10223","DOI":"10.1016\/j.eswa.2009.01.060","volume":"36","author":"F Cao","year":"2009","unstructured":"Cao, F., Liang, J., Bai, L.: A new initialization method for categorical data clustering. Expert Syst. Appl. 36(7), 10223\u201310228 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"28_CR2","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.datak.2004.09.001","volume":"53","author":"CH Chang","year":"2005","unstructured":"Chang, C.H., Ding, Z.K.: Categorical data visualization and clustering using subjective factors. Data Knowl. Eng. 53(3), 243\u2013262 (2005)","journal-title":"Data Knowl. Eng."},{"key":"28_CR3","unstructured":"Chen, K., Liu, L.: The \u201cbest k\u201d for entropy-based categorical data clustering (2005)"},{"key":"28_CR4","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1016\/j.patcog.2015.09.027","volume":"51","author":"L Chen","year":"2016","unstructured":"Chen, L., Wang, S., Wang, K., Zhu, J.: Soft subspace clustering of categorical data with probabilistic distance. Pattern Recogn. 51, 322\u2013332 (2016)","journal-title":"Pattern Recogn."},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"He, X., Feng, J., Konte, B., Mai, S.T., Plant, C.: Relevant overlapping subspace clusters on categorical data. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 213\u2013222 (2014)","DOI":"10.1145\/2623330.2623652"},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"M\u00fcller, E., Assent, I., G\u00fcnnemann, S., Krieger, R., Seidl, T.: Relevant subspace clustering: mining the most interesting non-redundant concepts in high dimensional data. In: 2009 Ninth IEEE International Conference on Data Mining, pp. 377\u2013386. IEEE (2009)","DOI":"10.1109\/ICDM.2009.10"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39821-6_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:49:07Z","timestamp":1710269347000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39821-6_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031398209","9783031398216"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39821-6_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Penang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaysia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"34","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/dexa2023","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":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"155","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":"49","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":"35","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":"32% - 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":"4","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"For the workshops 7 full and 3 short papers have been accepted from 20 submissions","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}