{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:59:22Z","timestamp":1743062362104,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031280757"},{"type":"electronic","value":"9783031280764"}],"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\/978-3-031-28076-4_23","type":"book-chapter","created":{"date-parts":[[2023,2,26]],"date-time":"2023-02-26T11:02:32Z","timestamp":1677409352000},"page":"295-310","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Parallel FPTCM$$^+$$: Parallel FP-Tree Based Compression Method for\u00a0Large Datasets"],"prefix":"10.1007","author":[{"given":"Bennai","family":"Soufia","sequence":"first","affiliation":[]},{"given":"Amroun","family":"Kamal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Guns, T., Nijssen, S., De Raedt, L.: Itemset mining: a constraint programming perspective. Artif. Intell. 175(12\u201313), 1951\u20131983 (2011)","DOI":"10.1016\/j.artint.2011.05.002"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Han, J., Pei, J., Yin, Y.: Mining frequent patterns without candidate generation. ACM SIGMOD Record 29(2), 1\u201312 (2000)","DOI":"10.1145\/335191.335372"},{"issue":"2","key":"23_CR3","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/s10515-015-0189-z","volume":"24","author":"M Maamar","year":"2016","unstructured":"Maamar, M., Lazaar, N., Loudni, S., Lebbah, Y.: Fault localization using itemset mining under constraints. Autom. Softw. Eng. 24(2), 341\u2013368 (2016). https:\/\/doi.org\/10.1007\/s10515-015-0189-z","journal-title":"Autom. Softw. Eng."},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Bennai, S., Amroun, K., Loudni, S.: Exploiting data mining techniques for compressing table constraints. In : 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), pp. 42\u201349. IEEE (2019)","DOI":"10.1109\/ICTAI.2019.00015"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Jabbour, S., Roussel, S., Sais, L., et al.: Mining to compress table constraints. In: 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 405\u2013412. IEEE (2015)","DOI":"10.1109\/ICTAI.2015.68"},{"key":"23_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1007\/978-3-319-07046-9_9","volume-title":"Integration of AI and OR Techniques in Constraint Programming","author":"N Gharbi","year":"2014","unstructured":"Gharbi, N., Hemery, F., Lecoutre, C., Roussel, O.: Sliced table constraints: combining compression and tabular reduction. In: Simonis, H. (ed.) CPAIOR 2014. LNCS, vol. 8451, pp. 120\u2013135. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-07046-9_9"},{"key":"23_CR7","doi-asserted-by":"crossref","unstructured":"Wang, B., Yin, J., Hua, Qi., et al.: Parallelizing k-means-based clustering on spark. In: 2016 International Conference on Advanced Cloud and Big Data (CBD), pp. 31\u201336. IEEE (2016)","DOI":"10.1109\/CBD.2016.016"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Miao, Y., Lin, J., Xu, N.: An improved parallel FP-growth algorithm based on Spark and its application. In: Chinese Control Conference (CCC). IEEE 2019, 3793\u20133797 (2019)","DOI":"10.23919\/ChiCC.2019.8866373"},{"key":"23_CR9","unstructured":"Zaharia, M., Chowdhury, M., Das, T., et al.: Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing. In: 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12), pp. 15\u201328 (2012)"},{"key":"23_CR10","doi-asserted-by":"publisher","unstructured":"Nasser, T., Tariq, R.S.: Big data challenges. J. Comput. Eng. Inf. Technol. 4: 3 9307(2), 2324 (2015). https:\/\/doi.org\/10.4172\/2324","DOI":"10.4172\/2324"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Joseph, V.R., Mak, S.: Supervised compression of big data. Statist. Anal. Data Mining ASA Data Sci. J. 14(3), 217\u2013229 (2021)","DOI":"10.1002\/sam.11508"}],"container-title":["Lecture Notes in Networks and Systems","Advances in Information and Communication"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28076-4_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,26]],"date-time":"2023-02-26T11:04:22Z","timestamp":1677409462000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28076-4_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031280757","9783031280764"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28076-4_23","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"27 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FICC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Future of Information and Communication Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Francisco, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 March 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 March 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ficc2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}