{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T14:38:44Z","timestamp":1775054324271,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030000622","type":"print"},{"value":"9783030000639","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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\/978-3-030-00063-9_20","type":"book-chapter","created":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T05:39:46Z","timestamp":1535607586000},"page":"205-217","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Characterizing Air-Quality Data Through Unsupervised Analytics Methods"],"prefix":"10.1007","author":[{"given":"Elena","family":"Daraio","sequence":"first","affiliation":[]},{"given":"Evelina","family":"Di Corso","sequence":"additional","affiliation":[]},{"given":"Tania","family":"Cerquitelli","sequence":"additional","affiliation":[]},{"given":"Silvia","family":"Chiusano","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,31]]},"reference":[{"key":"20_CR1","unstructured":"Regional Agency for the Protection of the Environment. \nhttp:\/\/www.arpa.piemonte.it\/english-version\n\n. Accessed May 2018"},{"key":"20_CR2","unstructured":"The Rapid Miner Project. \nhttp:\/\/rapid-i.com\/\n\n. Accessed May 2018"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Acquaviva, A., et al.: Energy signature analysis: knowledge at your fingertips. In: 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27\u2013July 2 2015 (2015)","DOI":"10.1109\/BigDataCongress.2015.85"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: ACM SIGMOD 1993, pp. 207\u2013216 (1993)","DOI":"10.1145\/170035.170072"},{"issue":"2","key":"20_CR5","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1145\/253262.253325","volume":"26","author":"S Brin","year":"1997","unstructured":"Brin, S., Motwani, R., Ullman, J.D., Tsur, S.: Dynamic itemset counting and implication rules for market basket data. ACM SIGMOD Rec. 26(2), 255\u2013264 (1997)","journal-title":"ACM SIGMOD Rec."},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Cagliero, L., Cerquitelli, T., Chiusano, S., Garza, P., Ricupero, G., Xiao, X.: Modeling correlations among air pollution-related data through generalized association rules. In: IEEE International Conference on Smart Computing, 18\u201320 May 2016 (2016)","DOI":"10.1109\/SMARTCOMP.2016.7501707"},{"key":"20_CR7","doi-asserted-by":"publisher","unstructured":"Cagliero, L., Chiusano, S., Garza, P., Ricupero, G.: Discovering high-utility itemsets at multiple abstraction levels. In: Kirikova, M., et al. (eds.) ADBIS 2017. CCIS, vol. 767, pp. 224\u2013234. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-67162-8_22","DOI":"10.1007\/978-3-319-67162-8_22"},{"key":"20_CR8","unstructured":"Cerquitelli, T., Di Corso, E.: Characterizing thermal energy consumption through exploratory data mining algorithms. In: Proceedings of the Workshops of the EDBT\/ICDT 2016 Joint Conference, Bordeaux, France, 15 March 2016 (2016)"},{"key":"20_CR9","unstructured":"Data, W.U.: \nhttp:\/\/www.wunderground.com\/\n\n. Accessed May 2018"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Di Corso, E., Cerquitelli, T., Ventura, F.: Self-tuning techniques for large scale cluster analysis on textual data collections. In: Proceedings of the 32nd Annual ACM Symposium on Applied Computing, Marrakesh, Morocco, 3rd\u20137th April 2017 (2017)","DOI":"10.1145\/3019612.3019661"},{"key":"20_CR11","doi-asserted-by":"publisher","first-page":"1639","DOI":"10.1109\/29.60082","volume":"9","author":"BH Juang","year":"1990","unstructured":"Juang, B.H., Rabiner, L.: The segmental k-means algorithm for estimating parameters of hidden markov models. IEEE Trans. Acoust. Speech Sig. Process. 9, 1639\u20131641 (1990)","journal-title":"IEEE Trans. Acoust. Speech Sig. Process."},{"key":"20_CR12","unstructured":"MathWorks: \nwww.mathworks.com\n\n. Accessed May 2018"},{"key":"20_CR13","unstructured":"Meteo: \nen.wikipedia.org\/wiki\/Rain\n\n\u00a0\nen.wikipedia.org\/wiki\/Wind\n\n\u00a0\nhttp:\/\/www.en.wikipedia.org\/wiki\/Atmospheric_pressure\n\n. Accessed May 2018"},{"issue":"1","key":"20_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3184\/095422910X12632119406391","volume":"22","author":"J Namie\u015bnik","year":"2010","unstructured":"Namie\u015bnik, J., Rabajczyk, A.: The speciation and physico-chemical forms of metals in surface waters and sediments. Chem. Speciat. Bioavailab. 22(1), 1\u201324 (2010)","journal-title":"Chem. Speciat. Bioavailab."},{"key":"20_CR15","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/0191-2607(88)90034-9","volume":"22","author":"PW Newman","year":"1988","unstructured":"Newman, P.W., Kenworthy, J.R.: The transport energy trade-off: fuel-efficient traffic versus fuel-efficient cities. Transp. Res. Part A Gen. 22, 163\u2013174 (1988)","journal-title":"Transp. Res. Part A Gen."},{"key":"20_CR16","volume-title":"Introduction to Data Mining","author":"T Pang-Ning","year":"2006","unstructured":"Pang-Ning, T., Steinbach, M., Kumar, V.: Introduction to Data Mining. Addison-Wesley, Boston (2006)"},{"key":"20_CR17","volume-title":"Introduction to Probability and Statistics for Engineers and Scientists","author":"SM Ross","year":"2000","unstructured":"Ross, S.M.: Introduction to Probability and Statistics for Engineers and Scientists, 2nd edn. Academic Press, New York (2000)","edition":"2"},{"key":"20_CR18","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Santini, S., Ostermaier, B., Vitaletti, A.: First experiences using wireless sensor networks for noise pollution monitoring. In: Proceedings of the Workshop on Real-World Wireless Sensor Networks, pp. 61\u201365. ACM (2008)","DOI":"10.1145\/1435473.1435490"},{"key":"20_CR20","first-page":"1","volume":"5","author":"Y Zheng","year":"2014","unstructured":"Zheng, Y., Capra, L., Wolfson, O., Yang, H.: Urban computing: concepts, methodologies, and applications. ACM Trans. Intell. Syst. Technol. 5, 1\u201355 (2014)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Zheng, Y., Yi, X., Li, V.O.: A Gaussian Bayesian model to identify spatio-temporal causalities for air pollution based on urban big data. In: 2016 IEEE Conference on Computer Communications Workshops (2016)","DOI":"10.1109\/INFCOMW.2016.7562036"}],"container-title":["Communications in Computer and Information Science","New Trends in Databases and Information Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00063-9_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T05:49:46Z","timestamp":1535608186000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00063-9_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030000622","9783030000639"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00063-9_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}