{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:28:44Z","timestamp":1764588524869,"version":"3.40.3"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031578526"},{"type":"electronic","value":"9783031578533"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-57853-3_30","type":"book-chapter","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T04:01:52Z","timestamp":1712635312000},"page":"356-368","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Anomaly Detection with Generalized Isolation Forest"],"prefix":"10.1007","author":[{"given":"Brett E.","family":"Downey","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7541-9127","authenticated-orcid":false,"given":"Carson K.","family":"Leung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam G. M.","family":"Pazdor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryan A. L.","family":"Petrillo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denys","family":"Popov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin R.","family":"Schneider","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,10]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","unstructured":"Anderson-Gr\u00e9goire, I.M., et al.: A big data science solution for analytics on moving objects. In: Barolli, L., Woungang, I., Enokido, T. (eds.) AINA 2021, Volume 2, LNNS, vol. 226, pp. 133\u2013145. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-75075-6_11","DOI":"10.1007\/978-3-030-75075-6_11"},{"key":"30_CR2","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1007\/978-3-030-75078-7_31","volume-title":"Advanced Information Networking and Applications","author":"F Atif","year":"2021","unstructured":"Atif, F., Rodriguez, M., Ara\u00fajo, L.J.P., Amartiwi, U., Akinsanya, B.J., Mazzara, M.: A survey on data science techniques for predicting software defects. In: Barolli, L., Woungang, I., Enokido, T. (eds.) AINA 2021, Volume 3. LNNS, vol. 227, pp. 298\u2013309. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-75078-7_31"},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Dierckens, K.E., et al.: A data science and engineering solution for fast k-means clustering of big data. In: IEEE TrustCom-BigDataSE-ICESS 2017, pp. 925\u2013932 (2017)","DOI":"10.1109\/Trustcom\/BigDataSE\/ICESS.2017.332"},{"issue":"1","key":"30_CR4","doi-asserted-by":"publisher","first-page":"32:1","DOI":"10.1145\/3622940","volume":"18","author":"MT Alam","year":"2024","unstructured":"Alam, M.T., Ahmed, C.F., Samiullah, Md., Leung, C.K.-S.: Discovering interesting patterns from hypergraphs. ACM Trans. Knowl. Disc. Data (TKDD) 18(1), 32:1\u201332:34 (2024). https:\/\/doi.org\/10.1145\/3622940","journal-title":"ACM Trans. Knowl. Disc. Data"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1007\/978-3-642-23544-3_19","volume-title":"Data Warehousing and Knowledge Discovery","author":"CK-S Leung","year":"2011","unstructured":"Leung, C.K.-S., Jiang, F.: Frequent pattern mining from time-fading streams of uncertain data. In: Cuzzocrea, A., Dayal, U. (eds.) DaWaK 2011. LNCS, vol. 6862, pp. 252\u2013264. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-23544-3_19"},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1007\/978-3-642-29038-1_21","volume-title":"Database Systems for Advanced Applications","author":"CK-S Leung","year":"2012","unstructured":"Leung, C.K.-S., Tanbeer, S.K.: Fast tree-based mining of frequent itemsets from uncertain data. In: Lee, S.-G., Peng, Z., Zhou, X., Moon, Y.-S., Unland, R., Yoo, J. (eds.) DASFAA 2012, Part I. LNCS, vol. 7238, pp. 272\u2013287. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-29038-1_21"},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1007\/978-3-030-75075-6_12","volume-title":"Advanced Information Networking and Applications","author":"C Liu","year":"2021","unstructured":"Liu, C., Li, X.: Mining method based on semantic trajectory frequent pattern. In: Barolli, L., Woungang, I., Enokido, T. (eds.) AINA 2021, Volume 2. LNNS, vol. 226, pp. 146\u2013159. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-75075-6_12"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1007\/978-3-031-28694-0_5","volume-title":"Advanced Information Networking and Applications: Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), Volume 3","author":"S Abahussein","year":"2023","unstructured":"Abahussein, S., Zhu, T., Ye, D., Cheng, Z., Zhou, W.: Protect trajectory privacy in\u00a0food delivery with\u00a0differential privacy and\u00a0multi-agent reinforcement learning. In: Barolli, L. (ed.) AINA 2023, Volume 3. LNNS, vol. 655, pp. 48\u201359. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-28694-0_5"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Leung, C.K., et al.: Machine learning and OLAP on big COVID-19 data. In: IEEE BigData 2020, pp. 5118\u20135127 (2020)","DOI":"10.1109\/BigData50022.2020.9378407"},{"key":"30_CR10","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/978-3-031-28451-9_35","volume-title":"Advanced Information Networking and Applications: Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), Volume 2","author":"W Lu","year":"2023","unstructured":"Lu, W.: Applied machine learning for securing the internet of medical things in healthcare. In: Barolli, L. (ed.) AINA 2023, Volume 2. LNNS, vol. 654, pp. 404\u2013416. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-28451-9_35"},{"key":"30_CR11","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1007\/978-3-031-29056-5_35","volume-title":"Advanced Information Networking and Applications: Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), Volume 1","author":"AM Olawoyin","year":"2023","unstructured":"Olawoyin, A.M., Leung, C.K., Hryhoruk, C.C.J., Cuzzocrea, A.: Big data management for\u00a0machine learning from\u00a0big data. In: Barolli, L. (ed.) AINA 2023, Volume 1. LNNS, vol. 661, pp. 393\u2013405. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-29056-5_35"},{"key":"30_CR12","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1007\/978-3-031-28694-0_9","volume-title":"Advanced Information Networking and Applications: Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), Volume 3","author":"E Di Giacomo","year":"2023","unstructured":"Di Giacomo, E., Di Martino, B., Didimo, W., Esposito, A., Liotta, G., Montecchiani, F.: Design of\u00a0a\u00a0process and\u00a0a\u00a0container-based cloud architecture for\u00a0the\u00a0automatic generation of\u00a0storyline visualizations. In: Barolli, L. (ed.) AINA 2023, Volume 3. LNNS, vol. 655, pp. 90\u201399. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-28694-0_9"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Leung, C.K., et al.: Big data visualization and visual analytics of COVID-19 data. In: IV 2020, pp. 415\u2013420 (2020)","DOI":"10.1109\/IV51561.2020.00073"},{"key":"30_CR14","doi-asserted-by":"publisher","unstructured":"Faiz, M.F.I., Iqbal, M.Z.: XceptionUnetV1: a lightweight DCNN for biomedical image segmentation. In: Barolli, L., Hussain, F., Enokido, T. (eds.) AINA 2022, Volume 3. LNNS, vol. 451, pp. 23\u201332. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-99619-2_3","DOI":"10.1007\/978-3-030-99619-2_3"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Leung, C.K.: Biomedical informatics: state of the art, challenges, and opportunities. BioMe-dInformatics 4(1), 89\u201397 (2024)","DOI":"10.3390\/biomedinformatics4010006"},{"key":"30_CR16","doi-asserted-by":"publisher","unstructured":"Matsui, T., et al.: Analysis of visualized bioindicators related to activities of daily living. In: Barolli, L., Woungang, I., Enokido, T. (eds.) AINA 2021, Volume 1. LNNS, vol. 225, pp. 731\u2013744. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-75100-5_62","DOI":"10.1007\/978-3-030-75100-5_62"},{"key":"30_CR17","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1007\/978-3-030-44041-1_59","volume-title":"Advanced Information Networking and Applications: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA-2020)","author":"J Souza","year":"2020","unstructured":"Souza, J., Leung, C.K., Cuzzocrea, A.: An innovative big data predictive analytics framework over hybrid big data sources with an application for disease analytics. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds.) AINA 2020. AISC, vol. 1151, pp. 669\u2013680. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-44041-1_59"},{"key":"30_CR18","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-030-99587-4_14","volume-title":"Advanced Information Networking and Applications","author":"RM Cabusas","year":"2022","unstructured":"Cabusas, R.M., Epp, B.N., Gouge, J.M., Kaufmann, T.N., Leung, C.K., Tully, J.R.A.: Mining for fake news. In: Barolli, L., Hussain, F., Enokido, T. (eds.) AINA 2022, Volume 2. LNNS, vol. 450, pp. 154\u2013166. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-99587-4_14"},{"issue":"6","key":"30_CR19","doi-asserted-by":"publisher","first-page":"2154","DOI":"10.1109\/TIE.2010.2050292","volume":"58","author":"W Lee","year":"2011","unstructured":"Lee, W., et al.: Mobile web navigation in digital ecosystems using rooted directed trees. IEEE Trans. Ind. Electron. (TIE) 58(6), 2154\u20132162 (2011)","journal-title":"IEEE Trans. Ind. Electron. (TIE)"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Cameron, J.J., et al.: Finding strong groups of friends among friends in social networks. In: IEEE DASC 2011, pp. 824\u2013831 (2011)","DOI":"10.1109\/DASC.2011.141"},{"key":"30_CR21","doi-asserted-by":"crossref","unstructured":"Choudhery, D., Leung, C.K.: Social media mining: prediction of box office revenue. In: IDEAS 2017, pp. 20\u201329 (2017)","DOI":"10.1145\/3105831.3105854"},{"issue":"2\u20133","key":"30_CR22","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1080\/10919392.2014.896715","volume":"24","author":"SK Tanbeer","year":"2014","unstructured":"Tanbeer, S.K., et al.: Interactive mining of strong friends from social networks and its applications in e-commerce. J. Organ. Comput. Electron. Commer. 24(2\u20133), 157\u2013173 (2014)","journal-title":"J. Organ. Comput. Electron. Commer."},{"key":"30_CR23","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1007\/978-3-031-28694-0_63","volume-title":"Advanced Information Networking and Applications: Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), Volume 3","author":"A Anuraj","year":"2023","unstructured":"Anuraj, A., et al.: Sports data mining for\u00a0cricket match prediction. In: Barolli, L. (ed.)  AINA 2023, Volume 3. LNNS, vol. 655, pp. 668\u2013680. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-28694-0_63"},{"key":"30_CR24","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-030-99587-4_13","volume-title":"Advanced Information Networking and Applications","author":"BC Isichei","year":"2022","unstructured":"Isichei, B.C., et al.: Sports data management, mining, and visualization. In: Barolli, L., Hussain, F., Enokido, T. (eds.) AINA 2022, Volume 2. LNNS, vol. 450, pp. 141\u2013153. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-99587-4_13"},{"key":"30_CR25","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/978-3-030-27520-4_3","volume-title":"Big Data Analytics and Knowledge Discovery","author":"CK Leung","year":"2019","unstructured":"Leung, C.K., Braun, P., Hoi, C.S.H., Souza, J., Cuzzocrea, A.: Urban analytics of big transportation data for supporting smart cities. In: Ordonez, C., Song, I.-Y., Anderst-Kotsis, G., Tjoa, A.M., Khalil, I. (eds.) DaWaK 2019. LNCS, vol. 11708, pp. 24\u201333. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-27520-4_3"},{"key":"30_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67526-8","volume-title":"Anomaly Detection Principles and Algorithms","author":"K Mehrotra","year":"2017","unstructured":"Mehrotra, K., et al.: Anomaly Detection Principles and Algorithms. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-67526-8"},{"key":"30_CR27","doi-asserted-by":"crossref","unstructured":"Liu, F., et al.: Isolation forest. In: IEEE ICDM 2008, pp. 413\u201322 (2008)","DOI":"10.1109\/ICDM.2008.17"},{"issue":"1","key":"30_CR28","doi-asserted-by":"publisher","first-page":"3:1","DOI":"10.1145\/2133360.2133363","volume":"6","author":"FT Liu","year":"2012","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.-H.: Isolation-based anomaly detection. ACM Trans. Knowl. Disc. Data (TKDD) 6(1), 3:1\u20133:39 (2012). https:\/\/doi.org\/10.1145\/2133360.2133363","journal-title":"ACM Trans. Knowl. Disc. Data (TKDD)"},{"key":"30_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-02845-2","volume-title":"Probability Theory: An Introductory Course","author":"YG Sinai","year":"1992","unstructured":"Sinai, Y.G.: Probability Theory: An Introductory Course. Springer, Heidelberg (1992). https:\/\/doi.org\/10.1007\/978-3-662-02845-2"},{"key":"30_CR30","unstructured":"Stewart, J.: Calculus: Early Transcendentals, 9th edn. Cengage (2021)"},{"issue":"4","key":"30_CR31","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1109\/TKDE.2019.2947676","volume":"33","author":"S Hariri","year":"2021","unstructured":"Hariri, S., et al.: Extended isolation forest. IEEE Trans. Knowl. Data Eng. (TKDE) 33(4), 1479\u20131489 (2021)","journal-title":"IEEE Trans. Knowl. Data Eng. (TKDE)"},{"key":"30_CR32","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1016\/j.ins.2021.10.075","volume":"584","author":"M Tokovarov","year":"2022","unstructured":"Tokovarov, M., Karczmarek, P.: A probabilistic generalization of isolation forest. Inf. Sci. 584, 433\u2013449 (2022)","journal-title":"Inf. Sci."},{"key":"30_CR33","doi-asserted-by":"crossref","unstructured":"Karczmarek, P., et al.: K-means-based isolation forest. Knowl. Based Syst. 195, 105659:1\u2013105659:15 (2020)","DOI":"10.1016\/j.knosys.2020.105659"},{"key":"30_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107354","volume":"106","author":"K Pawel","year":"2021","unstructured":"Pawel, K., et al.: Fuzzy c-means-based isolation forest. Appl. Soft Comput. 106, 107354 (2021)","journal-title":"Appl. Soft Comput."},{"key":"30_CR35","doi-asserted-by":"publisher","first-page":"74175","DOI":"10.1109\/ACCESS.2022.3190505","volume":"10","author":"L Galka","year":"2022","unstructured":"Galka, L., et al.: Isolation forest based on minimal spanning tree. IEEE Access 10, 74175\u201374186 (2022)","journal-title":"IEEE Access"},{"key":"30_CR36","doi-asserted-by":"crossref","unstructured":"Laskar, M.T.R., et al.: Extending isolation forest for anomaly detection in big data via k-means. ACM Trans. Cyber-Phys. Syst. (TCPS) 5(4), 41:1\u201341:26 (2021). https:\/\/doi.org\/10.1145\/3460976","DOI":"10.1145\/3460976"},{"key":"30_CR37","doi-asserted-by":"crossref","unstructured":"Ma, H., et al.: Isolation Mondrian forest for batch and online anomaly detection. In: IEEE SMC 2020, pp. 3051\u20133058 (2020)","DOI":"10.1109\/SMC42975.2020.9283073"},{"key":"30_CR38","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.patrec.2021.05.022","volume":"149","author":"J Lesouple","year":"2021","unstructured":"Lesouple, J., et al.: Generalized isolation forest for anomaly detection. Pattern Recogn. Lett. 149, 109\u2013119 (2021)","journal-title":"Pattern Recogn. Lett."},{"key":"30_CR39","doi-asserted-by":"crossref","unstructured":"Zambon, D., et al.: Graph iForest: isolation of anomalous and outlier graphs. In: IJCNN 2022, pp. 5153\u20135160 (2022)","DOI":"10.1109\/IJCNN55064.2022.9892295"},{"key":"30_CR40","unstructured":"Kelly, M., et al.: The UCI machine learning repository. https:\/\/archive.ics.uci.edu"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-57853-3_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T04:05:59Z","timestamp":1712635559000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-57853-3_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031578526","9783031578533"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-57853-3_30","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"10 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kitakyushu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"38","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}