{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:00:21Z","timestamp":1742961621431,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030375980"},{"type":"electronic","value":"9783030375997"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-37599-7_11","type":"book-chapter","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T09:02:43Z","timestamp":1578042163000},"page":"118-129","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Relationship Estimation Metrics for Binary SoC Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1125-2022","authenticated-orcid":false,"given":"Dave","family":"McEwan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5153-5481","authenticated-orcid":false,"given":"Jose","family":"Nunez-Yanez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,3]]},"reference":[{"issue":"1","key":"11_CR1","first-page":"43","volume":"8","author":"SS Choi","year":"2010","unstructured":"Choi, S.S., Cha, S.H., Tappert, C.C.: A survey of binary similarity and distance measures. Syst. Cybern. Inform. 8(1), 43\u201348 (2010)","journal-title":"Syst. Cybern. Inform."},{"key":"11_CR2","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1126\/science.1136800","volume":"315","author":"BJ Frey","year":"1950","unstructured":"Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315, 972\u2013976 (1950)","journal-title":"Science"},{"key":"11_CR3","first-page":"257","volume":"4","author":"C Friedman","year":"2003","unstructured":"Friedman, C., Sandow, S.: Learning probabilistic models: an expected utility maximization approach. J. Mach. Learn. Res. 4, 257\u2013291 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"11_CR4","unstructured":"Friston, K., Parr, T., Zeidman, P.: Bayesian model reduction. The Welcome Centre for Human Neuroimaging, Institute of Neurology, London (2018). \nhttps:\/\/arxiv.org\/pdf\/1805.07092.pdf"},{"issue":"S2","key":"11_CR5","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1002\/cplx.21819","volume":"21","author":"M Gheradi","year":"2018","unstructured":"Gheradi, M., Rotondo, P.: Measuring logic complexity can guide pattern discovery in empirical systems. Complexity 21(S2), 397\u2013408 (2018)","journal-title":"Complexity"},{"issue":"2","key":"11_CR6","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1002\/j.1538-7305.1950.tb00463.x","volume":"29","author":"RW Hamming","year":"1950","unstructured":"Hamming, R.W.: Error detecting and error correcting codes. Bell Syst. Tech. J. 29(2), 147\u2013160 (1950)","journal-title":"Bell Syst. Tech. J."},{"key":"11_CR7","doi-asserted-by":"publisher","unstructured":"Ivanovic, M., Kurbalija, V.: Time series analysis and possible applications. In: 39th International Convention on Information and Communication Technology, Electronics and Microelectronics, pp. 473\u2013479 (2016). \nhttps:\/\/doi.org\/10.1109\/MIPRO.2016.7522190","DOI":"10.1109\/MIPRO.2016.7522190"},{"key":"11_CR8","unstructured":"Jaccard, P.: The distribution of the flora in the alpine zone. New Phytol. 11(2), 37\u201350 (1919). \nhttp:\/\/nph.onlinelibrary.wiley.com\/doi\/abs\/10.1111\/j.1469-8137.1912.tb05611.x"},{"key":"11_CR9","unstructured":"Lagraa, S.: New MP-SoC profiling tools based on data mining techniques. Ph.D. thesis, L\u2019Universit\u00e9 de Grenoble (2014). \nhttps:\/\/tel.archives-ouvertes.fr\/tel-01548913"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Lo, D., Khoo, S.C., Liu, C.: Mining past-time temporal rules from execution traces. In: ACM Workshop On Dynamic Analysis, pp. 50\u201356, July 2008","DOI":"10.1145\/1401827.1401838"},{"key":"11_CR11","unstructured":"Loo, G.V.: BCM2836 ARM Quad-A7 (2014). \nhttps:\/\/www.raspberrypi.org\/documentation\/hardware\/raspberrypi\/bcm2836\/QA7_rev3.4.pdf"},{"key":"11_CR12","volume-title":"Information Theory, Inference and Learning Algorithms","author":"DJC MacKay","year":"2002","unstructured":"MacKay, D.J.C.: Information Theory, Inference and Learning Algorithms. Cambridge University Press, Cambridge (2002)"},{"key":"11_CR13","unstructured":"McEwan, D.: Relest: relationship estimation (2019). \nhttps:\/\/github.com\/DaveMcEwan\/dmppl\/blob\/master\/dmppl\/experiments\/relest.py"},{"key":"11_CR14","doi-asserted-by":"publisher","unstructured":"McEwan, D., Hlond, M., Nunez-Yanez, J.: Visualizations for understanding SoC behaviour. In: 2019 15th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), July 2019. \nhttps:\/\/doi.org\/10.1109\/PRIME.2019.8787837\n\n. \nhttps:\/\/arxiv.org\/abs\/1905.06386","DOI":"10.1109\/PRIME.2019.8787837"},{"key":"11_CR15","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv e-prints \narXiv:1301.3781\n\n, January 2013"},{"issue":"1","key":"11_CR16","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1186\/1471-2105-6-96","volume":"6","author":"JP Mower","year":"2005","unstructured":"Mower, J.P.: PREP-Mt: predictive RNA editor for plant mitochondrial genes. BMC Bioinform. 6(1), 96 (2005)","journal-title":"BMC Bioinform."},{"key":"11_CR17","unstructured":"Rahutomo, F., Kitasuka, T., Aritsugi, M.: Semantic cosine similarity. In: Proceedings of the 7th ICAST 2012, Seoul, October 2012"},{"key":"11_CR18","doi-asserted-by":"publisher","first-page":"59","DOI":"10.2307\/2685263","volume":"42","author":"JL Rodgers","year":"1988","unstructured":"Rodgers, J.L., Nicewander, W.A.: Thirteen ways to look at the correlation coefficient. Am. Stat. 42, 59\u201366 (1988)","journal-title":"Am. Stat."},{"key":"11_CR19","unstructured":"Rogers, D.J., Tanimoto, T.T.: A computer program for classifying plants. Science 132(3434), 1115\u20131118 (1960). \nhttp:\/\/science.sciencemag.org\/content\/132\/3434\/1115\/tab-pdf"},{"issue":"S2","key":"11_CR20","first-page":"397","volume":"21","author":"G Tkacik","year":"2018","unstructured":"Tkacik, G., Bialek, W.: Information processing in living systems. Complexity 21(S2), 397\u2013408 (2018)","journal-title":"Complexity"}],"container-title":["Lecture Notes in Computer Science","Machine Learning, Optimization, and Data Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37599-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T10:11:15Z","timestamp":1578046275000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-37599-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030375980","9783030375997"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37599-7_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"3 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LOD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning, Optimization, and Data Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Siena","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mod2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lod2019.icas.xyz\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"158","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":"64","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":"41% - 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":"5","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":"3","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)"}}]}}