{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:37:23Z","timestamp":1743118643752,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030551292"},{"type":"electronic","value":"9783030551308"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-55130-8_36","type":"book-chapter","created":{"date-parts":[[2020,8,19]],"date-time":"2020-08-19T23:12:32Z","timestamp":1597878752000},"page":"409-420","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7791-0799","authenticated-orcid":false,"given":"Qing-Qing","family":"Pang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7914-0679","authenticated-orcid":false,"given":"Li","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"issue":"1","key":"36_CR1","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.patcog.2014.07.012","volume":"48","author":"SH Amiri","year":"2015","unstructured":"Amiri, S.H., Jamzad, M.: Automatic image annotation using semi-supervised generative modeling. Pattern Recogn. 48(1), 174\u2013188 (2015)","journal-title":"Pattern Recogn."},{"key":"36_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1007\/978-3-642-23780-5_23","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"K Benabdeslem","year":"2011","unstructured":"Benabdeslem, K., Hindawi, M.: Constrained laplacian score for semi-supervised feature selection. In: Gunopulos, D., Hofmann, T., Malerba, D., Vazirgiannis, M. (eds.) ECML PKDD 2011. LNCS (LNAI), vol. 6911, pp. 204\u2013218. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-23780-5_23"},{"issue":"24","key":"36_CR3","doi-asserted-by":"publisher","first-page":"13790","DOI":"10.1073\/pnas.191502998","volume":"98","author":"A Bhattacharjee","year":"2001","unstructured":"Bhattacharjee, A., Richards, W.G., Staunton, J., et al.: Classification of human lung carcinomas by mRNA expression profilingreveals distinct adenocarcinomas sub-classes. Proc. Natl. Acad. Sci. 98(24), 13790\u201313795 (2001)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"36_CR4","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)"},{"issue":"10","key":"36_CR5","doi-asserted-by":"publisher","first-page":"1631","DOI":"10.1109\/TPAMI.2005.205","volume":"27","author":"RT Collins","year":"2005","unstructured":"Collins, R.T., Liu, Y., Leordeanu, M.: Online selection of discriminative tracking features. IEEE Trans. Pattern Anal. Mach. Intell. 27(10), 1631\u20131643 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"36_CR6","doi-asserted-by":"publisher","first-page":"4465","DOI":"10.1073\/pnas.012025199","volume":"99","author":"MP Cooke","year":"2002","unstructured":"Cooke, M.P., Ching, K.A., Hakak, Y., et al.: Large-scale analysis of the human and mouse transcriptomes. Proc. Natl. Acad. Sci. 99(7), 4465\u2013447 (2002)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"36_CR7","unstructured":"Dheeru, D., Karra Taniskidou, E.: UCI machine learning repository (2017). http:\/\/archive.ics.uci.edu\/ml"},{"issue":"5439","key":"36_CR8","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"TR Golub","year":"1999","unstructured":"Golub, T.R., Slonim, D.K., Tamayo, P., et al.: Molecular classification of cancer: class discovery and class prediction by gene expression. Science 286(5439), 531\u2013537 (1999)","journal-title":"Science"},{"key":"36_CR9","unstructured":"He, X., Cai, D., Niyog, P.: Laplacian score for feature selection. In: International Conference on Neural Information Processing Systems, pp. 507\u2013541 (2005)"},{"issue":"4","key":"36_CR10","doi-asserted-by":"publisher","first-page":"944","DOI":"10.1109\/TNNLS.2017.2650978","volume":"29","author":"M Luo","year":"2018","unstructured":"Luo, M., Nie, F., Chang, X., Yang, Y., Hauptmann, A.G., Zheng, Q.: Adaptive unsupervised feature selection with structure regularization. IEEE Trans. Neural Netw. Learn. Syst. 29(4), 944\u2013956 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1\u20132","key":"36_CR11","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/A:1023949509487","volume":"52","author":"S Monti","year":"2003","unstructured":"Monti, S., Tamayo, P., Mesirov, J., Golub, T.: Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Mach. Learn. 52(1\u20132), 91\u2013118 (2003)","journal-title":"Mach. Learn."},{"issue":"6870","key":"36_CR12","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/415436a","volume":"415","author":"S Pomeroy","year":"2001","unstructured":"Pomeroy, S., Tamayo, P., Gaasenbeek, M., et al.: Gene expression-based classification and outcome prediction of central nervous system embryonal tumors. Nature 415(6870), 436\u2013442 (2001)","journal-title":"Nature"},{"key":"36_CR13","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.patcog.2016.11.003","volume":"64","author":"R Sheikhpour","year":"2017","unstructured":"Sheikhpour, R., Sarram, M.A., Gharaghani, S., Chahooki, M.A.Z.: A survey on semi-supervised feature selection methods. Pattern Recogn. 64, 141\u2013158 (2017)","journal-title":"Pattern Recogn."},{"issue":"1\u20132","key":"36_CR14","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1016\/j.eswa.2007.07.043","volume":"35","author":"MD Shieh","year":"2008","unstructured":"Shieh, M.D., Yang, C.C.: Multiclass SVM-REF for product from feature selection. Expert Syst. Appl. 35(1\u20132), 531\u2013541 (2008)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"36_CR15","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s00530-014-0390-0","volume":"22","author":"X Song","year":"2014","unstructured":"Song, X., Zhang, J., Han, Y., Jiang, J.: Semi-supervised feature selection via hierarchical regression for web image classification. Multimedia Syst. 22(1), 41\u201349 (2014). https:\/\/doi.org\/10.1007\/s00530-014-0390-0","journal-title":"Multimedia Syst."},{"issue":"2","key":"36_CR16","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/S1535-6108(02)00032-6","volume":"1","author":"EJ Yeoh","year":"2002","unstructured":"Yeoh, E.J., Ross, M.E., Shurtleff, S.A., et al.: Classification, subtype discovery, and prediction of outcome in pediatricacute lymphoblastic leukemia by gene expression profiling. Cancer Cell 1(2), 133\u2013143 (2002)","journal-title":"Cancer Cell"},{"key":"36_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1007\/978-3-642-33506-8_11","volume-title":"Pattern Recognition","author":"L Zhu","year":"2012","unstructured":"Zhu, L., Miao, L., Zhang, D.: Iterative laplacian score for feature selection. In: Liu, C.-L., Zhang, C., Wang, L. (eds.) CCPR 2012. CCIS, vol. 321, pp. 80\u201387. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33506-8_11"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-55130-8_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:13:59Z","timestamp":1710267239000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-55130-8_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030551292","9783030551308"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-55130-8_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"20 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ksem2020.org\/","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":"291","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":"58","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":"27","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":"20% - 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":"8","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":"The conference was held virtually due to the COVID-19 pandemic.","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)"}}]}}