{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,3]],"date-time":"2025-10-03T18:17:43Z","timestamp":1759515463497,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031391439"},{"type":"electronic","value":"9783031391446"}],"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\/978-3-031-39144-6_4","type":"book-chapter","created":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T19:02:23Z","timestamp":1691089343000},"page":"47-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Automatic Generation of\u00a0Product Concepts from\u00a0Positive Examples, with\u00a0an\u00a0Application to\u00a0Music Streaming"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9049-3758","authenticated-orcid":false,"given":"Kshitij","family":"Goyal","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9560-3872","authenticated-orcid":false,"given":"Wannes","family":"Meert","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0378-3699","authenticated-orcid":false,"given":"Hendrik","family":"Blockeel","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6502-0809","authenticated-orcid":false,"given":"Elia","family":"Van Wolputte","sequence":"additional","affiliation":[]},{"given":"Koen","family":"Vanderstraeten","sequence":"additional","affiliation":[]},{"given":"Wouter","family":"Pijpops","sequence":"additional","affiliation":[]},{"given":"Kurt","family":"Jaspers","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,4]]},"reference":[{"issue":"2","key":"4_CR1","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TCE.2018.2844736","volume":"64","author":"D Ayata","year":"2018","unstructured":"Ayata, D., Yaslan, Y., Kamasak, M.E.: Emotion based music recommendation system using wearable physiological sensors. IEEE Trans. Consum. Electron. 64(2), 196\u2013203 (2018)","journal-title":"IEEE Trans. Consum. Electron."},{"key":"4_CR2","unstructured":"Bahuleyan, H.: Music genre classification using machine learning techniques. arXiv preprint arXiv:1804.01149 (2018)"},{"key":"4_CR3","unstructured":"Bai, B., Fan, Y.: Incorporating field-aware deep embedding networks and gradient boosting decision trees for music recommendation. In: The 11th ACM International Conference on Web Search and Data Mining (WSDM) (2017)"},{"issue":"4","key":"4_CR4","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1007\/s10994-020-05877-5","volume":"109","author":"J Bekker","year":"2020","unstructured":"Bekker, J., Davis, J.: Learning from positive and unlabeled data: a survey. Mach. Learn. 109(4), 719\u2013760 (2020)","journal-title":"Mach. Learn."},{"key":"4_CR5","unstructured":"Bholowalia, P., Kumar, A.: EBK-means: a clustering technique based on elbow method and k-means in WSN. Int. J. Comput. Appl. 105(9) (2014)"},{"key":"4_CR6","unstructured":"Briot, J.P., Hadjeres, G., Pachet, F.D.: Deep learning techniques for music generation-a survey. arXiv preprint arXiv:1709.01620 (2017)"},{"issue":"4","key":"4_CR7","doi-asserted-by":"publisher","first-page":"981","DOI":"10.1007\/s00521-018-3813-6","volume":"32","author":"JP Briot","year":"2020","unstructured":"Briot, J.P., Pachet, F.: Deep learning for music generation: challenges and directions. Neural Comput. Appl. 32(4), 981\u2013993 (2020)","journal-title":"Neural Comput. Appl."},{"key":"4_CR8","doi-asserted-by":"publisher","unstructured":"Ceri, S., Bozzon, A., Brambilla, M., Valle, E.D., Fraternali, P., Quarteroni, S.: An introduction to information retrieval. In: Ceri, S., Bozzon, A., Brambilla, M., Valle, E.D., Fraternali, P., Quarteroni, S (eds.) Web Information Retrieval, pp. 3\u201311. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39314-3_1","DOI":"10.1007\/978-3-642-39314-3_1"},{"issue":"2","key":"4_CR9","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s10844-005-0319-3","volume":"24","author":"HC Chen","year":"2005","unstructured":"Chen, H.C., Chen, A.L.: A music recommendation system based on music and user grouping. J. Intell. Inf. Syst. 24(2), 113\u2013132 (2005)","journal-title":"J. Intell. Inf. Syst."},{"issue":"1","key":"4_CR10","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1109\/TKDE.2006.16","volume":"18","author":"GPC Fung","year":"2005","unstructured":"Fung, G.P.C., Yu, J.X., Lu, H., Yu, P.S.: Text classification without negative examples revisit. IEEE Trans. Knowl. Data Eng. 18(1), 6\u201320 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4_CR11","unstructured":"Goyal, K., Dumancic, S., Blockeel, H.: Sade: Learning models that provably satisfy domain constraints. arXiv preprint arXiv:2112.00552 (2021)"},{"key":"4_CR12","unstructured":"Kotsiantis, S., Kanellopoulos, D.: Association rules mining: a recent overview. GESTS Int. Trans. Comput. Sci. Eng. (2006)"},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2009\/239892","volume":"2009","author":"Y Lavner","year":"2009","unstructured":"Lavner, Y., Ruinskiy, D.: A decision-tree-based algorithm for speech\/music classification and segmentation. EURASIP J. Audio Speech Music Process. 2009, 1\u201314 (2009)","journal-title":"EURASIP J. Audio Speech Music Process."},{"key":"4_CR14","unstructured":"Li, X., Liu, B.: Learning to classify texts using positive and unlabeled data. In: IJCAI, vol. 3, pp. 587\u2013592. Citeseer (2003)"},{"issue":"1","key":"4_CR15","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.aca.2003.12.020","volume":"515","author":"R Llet\u0131","year":"2004","unstructured":"Llet\u0131, R., Ortiz, M.C., Sarabia, L.A., S\u00e1nchez, M.S.: Selecting variables for k-means cluster analysis by using a genetic algorithm that optimises the silhouettes. Anal. Chim. Acta 515(1), 87\u2013100 (2004)","journal-title":"Anal. Chim. Acta"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Long, B., Zhang, Z., Wu, X., Yu, P.S.: Relational clustering by symmetric convex coding. In: Proceedings of the 24th International Conference on Machine Learning, pp. 569\u2013576 (2007)","DOI":"10.1145\/1273496.1273568"},{"key":"4_CR17","unstructured":"Maillet, F., Eck, D., Desjardins, G., Lamere, P., et al.: Steerable playlist generation by learning song similarity from radio station playlists. In: ISMIR. Citeseer (2009)"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Malmi, E., Takala, P., Toivonen, H., Raiko, T., Gionis, A.: Dopelearning: a computational approach to rap lyrics generation. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2016)","DOI":"10.1145\/2939672.2939679"},{"key":"4_CR19","unstructured":"Narayanan, A., Chandramohan, M., Venkatesan, R., Chen, L., Liu, Y., Jaiswal, S.: graph2vec: learning distributed representations of graphs. arXiv preprint arXiv:1707.05005 (2017)"},{"key":"4_CR20","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1016\/j.aap.2012.09.006","volume":"50","author":"J de O\u00f1a","year":"2013","unstructured":"de O\u00f1a, J., L\u00f3pez, G., Abell\u00e1n, J.: Extracting decision rules from police accident reports through decision trees. Accid. Anal. Prev. 50, 1151\u20131160 (2013)","journal-title":"Accid. Anal. Prev."},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"4_CR22","unstructured":"Platt, J., Burges, C.J., Swenson, S., Weare, C., Zheng, A.: Learning a gaussian process prior for automatically generating music playlists. In: Advances in Neural Information Processing Systems, vol. 14 (2001)"},{"issue":"1","key":"4_CR23","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/BF00116251","volume":"1","author":"JR Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81\u2013106 (1986)","journal-title":"Mach. Learn."},{"key":"4_CR24","unstructured":"Sato, M., Tsukimoto, H.: Rule extraction from neural networks via decision tree induction. In: IJCNN 2001. International Joint Conference on Neural Networks (2001)"},{"issue":"1","key":"4_CR25","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1080\/09298215.2018.1515233","volume":"48","author":"BL Sturm","year":"2019","unstructured":"Sturm, B.L., et al.: Machine learning research that matters for music creation: a case study. J. New Music Res. 48(1), 36\u201355 (2019)","journal-title":"J. New Music Res."},{"issue":"4","key":"4_CR26","first-page":"3","volume":"100","author":"K Teknomo","year":"2006","unstructured":"Teknomo, K.: K-means clustering tutorial. Medicine 100(4), 3 (2006)","journal-title":"Medicine"},{"key":"4_CR27","unstructured":"Tsitsulin, A., Palowitch, J., Perozzi, B., M\u00fcller, E.: Graph clustering with graph neural networks. arXiv preprint arXiv:2006.16904 (2020)"},{"issue":"1","key":"4_CR28","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/TKDE.2004.1264823","volume":"16","author":"H Yu","year":"2004","unstructured":"Yu, H., Han, J., Chang, K.C.: PEBL: web page classification without negative examples. IEEE Trans. Knowl. Data Eng. 16(1), 70\u201381 (2004)","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence and Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39144-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T19:02:44Z","timestamp":1691089364000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39144-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031391439","9783031391446"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39144-6_4","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"4 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BNAIC\/Benelearn","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Benelux Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mechelen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bnaic2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bnaic2022.uantwerpen.be\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}