{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:18:22Z","timestamp":1743074302156,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030017705"},{"type":"electronic","value":"9783030017712"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-01771-2_18","type":"book-chapter","created":{"date-parts":[[2018,10,6]],"date-time":"2018-10-06T16:43:04Z","timestamp":1538844184000},"page":"276-291","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept"],"prefix":"10.1007","author":[{"given":"Ma\u00eblle","family":"Moranges","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Plantevit","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arnaud","family":"Fournel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moustafa","family":"Bensafi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C\u00e9line","family":"Robardet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,7]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Atzm\u00fcller, M., Puppe, F.: SD-map - a fast algorithm for exhaustive subgroup discovery. In: ECMLPKDD, pp. 6\u201317 (2006)","DOI":"10.1007\/11871637_6"},{"issue":"1","key":"18_CR2","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1093\/brain\/awr321","volume":"135","author":"Toru Baba","year":"2012","unstructured":"Baba, T., et al.: Severe olfactory dysfunction is a prodromal symptom of dementia associated with Parkinson\u2019s disease: a 3 year longitudinal study. Brain 135(1), 161\u2013169 (2012)","journal-title":"Brain"},{"issue":"3","key":"18_CR3","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1023\/A:1011429418057","volume":"5","author":"SD Bay","year":"2001","unstructured":"Bay, S.D., Pazzani, M.J.: Detecting group differences: mining contrast sets. Data Min. Knowl. Discov. 5(3), 213\u2013246 (2001)","journal-title":"Data Min. Knowl. Discov."},{"issue":"1","key":"18_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-017-1109-2","volume":"56","author":"AA Bendimerad","year":"2018","unstructured":"Bendimerad, A.A., Plantevit, M., Robardet, C.: Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. 56(1), 1\u201325 (2018)","journal-title":"Knowl. Inf. Syst."},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/978-3-319-46307-0_2","volume-title":"Discovery Science","author":"Guillaume Bosc","year":"2016","unstructured":"Bosc, G., et al.: Local subgroup discovery for eliciting and understanding new structure-odor relationships. In: Calders, T., Ceci, M., Malerba, D. (eds.) DS 2016. LNCS (LNAI), vol. 9956, pp. 19\u201334. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46307-0_2"},{"issue":"2","key":"18_CR6","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1016\/j.biopsycho.2012.11.008","volume":"92","author":"I Croy","year":"2013","unstructured":"Croy, I., Bojanowski, V., Hummel, T.: Men without a sense of smell exhibit a strongly reduced number of sexual relationships, women exhibit reduced partnership security-a reanalysis of previously published data. Biol. Psychol. 92(2), 292\u2013294 (2013)","journal-title":"Biol. Psychol."},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Dong, G., Li, J.: Efficient mining of emerging patterns: discovering trends and differences. In: KDD, pp. 43\u201352. ACM (1999)","DOI":"10.1145\/312129.312191"},{"issue":"2","key":"18_CR8","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/s10115-016-0979-z","volume":"51","author":"L Downar","year":"2017","unstructured":"Downar, L., Duivesteijn, W.: Exceptionally monotone models\u2014the rank correlation model class for exceptional model mining. Knowl. Inf. Syst. 51(2), 369\u2013394 (2017). May","journal-title":"Knowl. Inf. Syst."},{"issue":"1","key":"18_CR9","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s10618-015-0403-4","volume":"30","author":"W Duivesteijn","year":"2016","unstructured":"Duivesteijn, W., Feelders, A.J., Knobbe, A.: Exceptional model mining. Data Min. Knowl. Discov. 30(1), 47\u201398 (2016)","journal-title":"Data Min. Knowl. Discov."},{"issue":"6","key":"18_CR10","doi-asserted-by":"publisher","first-page":"2161","DOI":"10.1002\/hbm.23164","volume":"37","author":"A. Fournel","year":"2016","unstructured":"Fournel, A., Ferdenzi, C., Sezille, C., Rouby, C., Bensafi, M.: Multidimensional representation of odors in the human olfactory cortex. Hum. Brain Mapp. 37, 2161\u20132172 (2016)","journal-title":"Human Brain Mapping"},{"issue":"3","key":"18_CR11","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1002\/hbm.460030303","volume":"3","author":"Karl. J. Friston","year":"1995","unstructured":"Friston, K., Ashburner, J., Frith, C.D., Poline, J.B., Heather, J.D., Frackowiak, R.S., et al.: Spatial registration and normalization of images. Hum. Brain Mapp. 3(3), 165\u2013189 (1995)","journal-title":"Human Brain Mapping"},{"issue":"4","key":"18_CR12","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1002\/hbm.460020402","volume":"2","author":"KJ Friston","year":"1994","unstructured":"Friston, K.J., Holmes, A.P., Worsley, K.J., Poline, J.P., Frith, C.D., Frackowiak, R.S.: Statistical parametric maps in functional imaging: a general linear approach. Hum. Brain Mapp. 2(4), 189\u2013210 (1994)","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"18_CR13","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.neuron.2006.01.007","volume":"49","author":"JA Gottfried","year":"2006","unstructured":"Gottfried, J.A., Winston, J.S., Dolan, R.J.: Dissociable codes of odor quality and odorant structure in human piriform cortex. Neuron 49(3), 467\u2013479 (2006)","journal-title":"Neuron"},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Grosskreutz, H., Lang, B., Trabold, D.: A relevance criterion for sequential patterns. In: ECMLPKDD, pp. 369\u2013384 (2013)","DOI":"10.1007\/978-3-642-40988-2_24"},{"issue":"2","key":"18_CR15","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/s10618-009-0136-3","volume":"19","author":"H Grosskreutz","year":"2009","unstructured":"Grosskreutz, H., R\u00fcping, S.: On subgroup discovery in numerical domains. Data Min. Knowl. Discov. 19(2), 210\u2013226 (2009)","journal-title":"Data Min. Knowl. Discov."},{"issue":"7","key":"18_CR16","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1038\/nn.2324","volume":"12","author":"JD Howard","year":"2009","unstructured":"Howard, J.D., Plailly, J., Grueschow, M., Haynes, J.D., Gottfried, J.A.: Odor quality coding and categorization in human posterior piriform cortex. Nat. Neurosci. 12(7), 932 (2009)","journal-title":"Nat. Neurosci."},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Kaytoue, M., Plantevit, M., Zimmermann, A., Bendimerad, A., Robardet, C.: Exceptional contextual subgraph mining. Mach. Learn. (2017)","DOI":"10.1007\/s10994-016-5598-0"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Kl\u00f6sgen, W.: Explora: a multipattern and multistrategy discovery assistant. In: Advances in Knowledge Discovery and Data Mining, pp. 249\u2013271. AAAI (1996)","DOI":"10.1007\/3-540-61286-6_186"},{"key":"18_CR19","unstructured":"Lavra\u010d, N., Kav\u0161ek, B., Flach, P., Todorovski, L.: Subgroup discovery with CN2-SD. J. Mach. Learn. Res. 5(Feb), 153\u2013188 (2004)"},{"issue":"2","key":"18_CR20","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1007\/s10618-012-0273-y","volume":"25","author":"M van Leeuwen","year":"2012","unstructured":"van Leeuwen, M., Knobbe, A.J.: Diverse subgroup set discovery. Data Min. Knowl. Discov. 25(2), 208\u2013242 (2012)","journal-title":"Data Min. Knowl. Discov."},{"key":"18_CR21","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-87481-2_1","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"D Leman","year":"2008","unstructured":"Leman, D., Feelders, A., Knobbe, A.: Exceptional model mining. In: Daelemans, W., Goethals, B., Morik, K. (eds.) ECML PKDD 2008. LNCS (LNAI), vol. 5212, pp. 1\u201316. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-87481-2_1"},{"issue":"3","key":"18_CR22","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1007\/s10618-015-0436-8","volume":"30","author":"F Lemmerich","year":"2016","unstructured":"Lemmerich, F., Atzmueller, M., Puppe, F.: Fast exhaustive subgroup discovery with numerical target concepts. Data Min. Knowl. Discov. 30(3), 711\u2013762 (2016)","journal-title":"Data Min. Knowl. Discov."},{"issue":"20","key":"18_CR23","doi-asserted-by":"publisher","first-page":"8356","DOI":"10.1073\/pnas.0900728106","volume":"106","author":"SD Muthukumaraswamy","year":"2009","unstructured":"Muthukumaraswamy, S.D., Edden, R.A., Jones, D.K., Swettenham, J.B., Singh, K.D.: Resting gaba concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans. Proc. Natl. Acad. Sci. 106(20), 8356\u20138361 (2009)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"18_CR24","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-46307-0_1","volume-title":"Discovery Science","author":"C Rebelo de S\u00e1","year":"2016","unstructured":"Rebelo de S\u00e1, C., Duivesteijn, W., Soares, C., Knobbe, A.: Exceptional preferences mining. In: Calders, T., Ceci, M., Malerba, D. (eds.) DS 2016. LNCS (LNAI), vol. 9956, pp. 3\u201318. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46307-0_1"},{"issue":"1","key":"18_CR25","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/1471-2377-12-24","volume":"12","author":"PW Schofield","year":"2012","unstructured":"Schofield, P.W., Ebrahimi, H., Jones, A.L., Bateman, G.A., Murray, S.R.: An olfactory \u2018stress test\u2019may detect preclinical alzheimer\u2019s disease. BMC Neurol. 12(1), 24 (2012)","journal-title":"BMC Neurol."},{"issue":"1","key":"18_CR26","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1093\/chemse\/bjp083","volume":"35","author":"RJ Stevenson","year":"2009","unstructured":"Stevenson, R.J.: An initial evaluation of the functions of human olfaction. Chem. Senses 35(1), 3\u201320 (2009)","journal-title":"Chem. Senses"},{"key":"18_CR27","volume-title":"Exploratory Data Analysis","author":"JW Tukey","year":"1977","unstructured":"Tukey, J.W.: Exploratory Data Analysis, vol. 2. Reading, Mass (1977)"},{"key":"18_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1007\/3-540-63223-9_108","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"S Wrobel","year":"1997","unstructured":"Wrobel, S.: An algorithm for multi-relational discovery of subgroups. In: Komorowski, J., Zytkow, J. (eds.) PKDD 1997. LNCS, vol. 1263, pp. 78\u201387. Springer, Heidelberg (1997). https:\/\/doi.org\/10.1007\/3-540-63223-9_108"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01771-2_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:12:20Z","timestamp":1709809940000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01771-2_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030017705","9783030017712"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01771-2_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"7 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Discovery Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dis2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cyprusconferences.org\/ds2018\/","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":"71","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":"30","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":"42% - 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":"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)"}}]}}