{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T07:09:51Z","timestamp":1769152191771,"version":"3.49.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T00:00:00Z","timestamp":1614211200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T00:00:00Z","timestamp":1614211200000},"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":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s12652-021-02955-x","type":"journal-article","created":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T11:04:41Z","timestamp":1614251081000},"page":"1925-1939","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["An elitism based self-adaptive multi-population Poor and Rich optimization algorithm for grouping similar documents"],"prefix":"10.1007","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7310-9953","authenticated-orcid":false,"given":"K.","family":"Thirumoorthy","sequence":"first","affiliation":[]},{"given":"K.","family":"Muneeswaran","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,2,25]]},"reference":[{"key":"2955_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2017.07.018","author":"L Abualigah","year":"2017","unstructured":"Abualigah L, Khader AT, Hanandeh E (2017) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci. https:\/\/doi.org\/10.1016\/j.jocs.2017.07.018","journal-title":"J Comput Sci"},{"key":"2955_CR2","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/978-981-10-8636-6_49","volume-title":"Recent findings in intelligent computing techniques","author":"A Agarwal","year":"2018","unstructured":"Agarwal A, Roul RK (2018) A novel hierarchical clustering algorithm for online resources. In: Sa PK, Bakshi S, Hatzilygeroudis IK, Sahoo MN (eds) Recent findings in intelligent computing techniques. Springer Singapore, Singapore, pp 467\u2013476"},{"issue":"3","key":"2955_CR3","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/s11634-017-0280-3","volume":"12","author":"P Ahmadi","year":"2017","unstructured":"Ahmadi P, Gholampour I, Tabandeh M (2017) Cluster-based sparse topical coding for topic mining and document clustering. Adv Data Anal Classif 12(3):537\u2013558. https:\/\/doi.org\/10.1007\/s11634-017-0280-3","journal-title":"Adv Data Anal Classif"},{"key":"2955_CR4","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.ieri.2013.11.053","volume":"4","author":"R Akter","year":"2013","unstructured":"Akter R, Chung Y (2013) An evolutionary approach for document clustering. IERI Procedia 4:370\u2013375. https:\/\/doi.org\/10.1016\/j.ieri.2013.11.053","journal-title":"IERI Procedia"},{"issue":"C","key":"2955_CR5","doi-asserted-by":"publisher","first-page":"3820","DOI":"10.1016\/j.procs.2017.06.038","volume":"111","author":"K Baba","year":"2017","unstructured":"Baba K, Nakatoh T, Minami T (2017) Plagiarism detection using document similarity based on distributed representation. Procedia Comput Sci 111(C):3820\u20133870. https:\/\/doi.org\/10.1016\/j.procs.2017.06.038","journal-title":"Procedia Comput Sci"},{"key":"2955_CR6","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.eswa.2017.12.001","volume":"96","author":"SI Boushaki","year":"2018","unstructured":"Boushaki SI, Kamel N, Bendjeghaba O (2018) A new quantum chaotic cuckoo search algorithm for data clustering. Expert Syst Appl 96:358\u2013372. https:\/\/doi.org\/10.1016\/j.eswa.2017.12.001","journal-title":"Expert Syst Appl"},{"key":"2955_CR7","doi-asserted-by":"publisher","unstructured":"Colmenares CA, Litvak M, Mantrach A, Silvestri F (2015) HEADS: Headline generation as sequence prediction using an abstract feature-rich space. In: Proceedings of the 2015 Conference of the North American chapter of the association for computational linguistics: human language technologies, association for computational linguistics, Denver, Colorado, pp 133\u2013142, https:\/\/doi.org\/10.3115\/v1\/N15-1014","DOI":"10.3115\/v1\/N15-1014"},{"key":"2955_CR8","unstructured":"Han J, Kamber M, Pei J (2012) Data mining concepts and techniques, third edition. Morgan Kaufmann Publishers, Waltham, Mass., http:\/\/www.amazon.de\/Data-Mining-Concepts-Techniques-Management\/dp\/0123814790\/ref=tmm_hrd_title_0?ie=UTF8&qid=1366039033&sr=1-1"},{"key":"2955_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01541-6","author":"T Jose","year":"2019","unstructured":"Jose T, Babu SS (2019) Detecting spammers on social network through clustering technique. J Ambient Intell Hum Comput. https:\/\/doi.org\/10.1007\/s12652-019-01541-6","journal-title":"J Ambient Intell Hum Comput"},{"key":"2955_CR10","doi-asserted-by":"crossref","unstructured":"Liauw D, Khairuzzaman MQ, Syarifudin G (2019) Whale optimization algorithm for data clustering. In: 2019 7th International Conference on Cyber and IT Service Management (CITSM), vol\u00a07, pp 1\u20136","DOI":"10.1109\/CITSM47753.2019.8965415"},{"key":"2955_CR11","doi-asserted-by":"publisher","unstructured":"Lubna\u00a0Alhenak MH (2019) Genetic-frog-leaping algorithm for text document clustering. Comput Mater Continua 61(3):1045\u20131074. https:\/\/doi.org\/10.32604\/cmc.2019.08355, http:\/\/www.techscience.com\/cmc\/v61n3\/35288","DOI":"10.32604\/cmc.2019.08355"},{"key":"2955_CR12","unstructured":"Lydia L, Govindasamy P, Lakshmanaprabu S, Ramya D (2018) Document clustering based on text mining k-means algorithm using Euclidean distance similarity. J Adv Res Dynam Control Syst 10"},{"key":"2955_CR13","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to information retrieval","author":"CD Manning","year":"2008","unstructured":"Manning CD, Raghavan P, Sch\u00fctze H (2008) Introduction to information retrieval. Cambridge University Press, USA"},{"key":"2955_CR14","doi-asserted-by":"publisher","DOI":"10.1186\/s13677-019-0150-y","author":"Th Kotouza Maria","year":"2019","unstructured":"Kotouza Maria Th, Psomopoulos FE, Mitkas PA (2019) A dockerized framework for hierarchical frequency-based document clustering on cloud computing infrastructures. J Cloud Comput. https:\/\/doi.org\/10.1186\/s13677-019-0150-y","journal-title":"J Cloud Comput"},{"key":"2955_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-1920-1","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S (2015) Dragonfly algorithm: A new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-015-1920-1","journal-title":"Neural Comput Appl"},{"key":"2955_CR16","doi-asserted-by":"publisher","first-page":"453","DOI":"10.3844\/jcssp.2015.453.465","volume":"11","author":"A Mohammed","year":"2015","unstructured":"Mohammed A, Yusof Y, Husni H (2015) Document clustering based on firefly algorithm. J Comput Sci 11:453\u2013465. https:\/\/doi.org\/10.3844\/jcssp.2015.453.465","journal-title":"J Comput Sci"},{"key":"2955_CR17","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.engappai.2019.08.025","volume":"86","author":"S Moosavi","year":"2019","unstructured":"Moosavi S, Bardsiri VK (2019) Poor and rich optimization algorithm: a new human-based and multi populations algorithm. Eng Appl Artif Intell 86:165\u2013181. https:\/\/doi.org\/10.1016\/j.engappai.2019.08.025","journal-title":"Eng Appl Artif Intell"},{"key":"2955_CR18","doi-asserted-by":"publisher","first-page":"27217","DOI":"10.1109\/ACCESS.2019.2896934","volume":"7","author":"MD Nguyen","year":"2019","unstructured":"Nguyen MD, Shin W (2019) An improved density-based approach to spatio-textual clustering on social media. IEEE Access 7:27217\u201327230","journal-title":"IEEE Access"},{"key":"2955_CR19","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1007\/978-3-319-06028-6_75","volume-title":"Advances in information retrieval","author":"M Qian","year":"2014","unstructured":"Qian M (2014) Text-image topic discovery for web news data. Advances in information retrieval. Springer, Berlin, pp 675\u2013680"},{"key":"2955_CR20","doi-asserted-by":"crossref","unstructured":"Rashaideh H, Sawaie A, Al-Betar MA, Abualigah LM, Al-laham MM, Al-Khatib RM, Braik M (2018) A grey wolf optimizer for text document clustering. J Intell Syst","DOI":"10.1515\/jisys-2018-0194"},{"key":"2955_CR21","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s12559-018-9611-8","volume":"11","author":"N Saini","year":"2018","unstructured":"Saini N, Saha S, Bhattacharyya P (2018) Automatic scientific document clustering using self-organized multi-objective differential evolution. Cognit Comput 11:271\u2013293. https:\/\/doi.org\/10.1007\/s12559-018-9611-8","journal-title":"Cognit Comput"},{"key":"2955_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-017-0637-7","author":"RA Saravanan","year":"2017","unstructured":"Saravanan RA, Rajesh Babu M (2017) Enhanced text mining approach based on ontology for clustering research project selection. J Ambient Intell Hum Comput. https:\/\/doi.org\/10.1007\/s12652-017-0637-7","journal-title":"J Ambient Intell Hum Comput"},{"key":"2955_CR23","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-017-0087-2","author":"C Sreedhar","year":"2017","unstructured":"Sreedhar C, Kasiviswanath N, Reddy P (2017) Clustering large datasets using k-means modified inter and intra clustering (km-i2c) in hadoop. J Big Data. https:\/\/doi.org\/10.1186\/s40537-017-0087-2","journal-title":"J Big Data"},{"key":"2955_CR24","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488519500090","author":"C Vidyadhari","year":"2019","unstructured":"Vidyadhari C, Sandhya N, Premchand P (2019) Particle grey wolf optimizer (pgwo) algorithm and semantic word processing for automatic text clustering. Int J Uncertain Fuzziness Knowl Based Syst. https:\/\/doi.org\/10.1142\/S0218488519500090","journal-title":"Int J Uncertain Fuzziness Knowl Based Syst"},{"key":"2955_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2018.05.001","volume":"157","author":"D Wang","year":"2018","unstructured":"Wang D, Liang Y, Xu D, Feng X, Guan R (2018) A content-based recommender system for computer science publications. Knowl Based Syst 157:1\u20139. https:\/\/doi.org\/10.1016\/j.knosys.2018.05.001","journal-title":"Knowl Based Syst"},{"key":"2955_CR26","doi-asserted-by":"publisher","unstructured":"Yang H (2010) A document clustering algorithm for web search engine retrieval system. e-Education, e-Business, e-Management and e-Learning. In: International conference on 383\u2013386. https:\/\/doi.org\/10.1109\/IC4E.2010.72","DOI":"10.1109\/IC4E.2010.72"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02955-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-021-02955-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02955-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T12:01:01Z","timestamp":1648209661000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-021-02955-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,25]]},"references-count":26,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["2955"],"URL":"https:\/\/doi.org\/10.1007\/s12652-021-02955-x","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,25]]},"assertion":[{"value":"2 August 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 February 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 February 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The author declares that there is no competing interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}