{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T02:01:55Z","timestamp":1743127315680,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319777115"},{"type":"electronic","value":"9783319777122"}],"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\/978-3-319-77712-2_87","type":"book-chapter","created":{"date-parts":[[2018,3,24]],"date-time":"2018-03-24T09:03:18Z","timestamp":1521882198000},"page":"920-930","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Data Analytics of Data Variety"],"prefix":"10.1007","author":[{"given":"Tiago","family":"Cruz","sequence":"first","affiliation":[]},{"given":"Jorge","family":"Oliveira e S\u00e1","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Lu\u00eds","family":"Pereira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,17]]},"reference":[{"issue":"2","key":"87_CR1","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1080\/10580530801941058","volume":"25","author":"H Baars","year":"2008","unstructured":"Baars, H., Kemper, H.-G.: Management support with structured and unstructured data\u2014an integrated business intelligence framework. Inf. Syst. Manag. 25(2), 132\u2013148 (2008)","journal-title":"Inf. Syst. Manag."},{"issue":"2","key":"87_CR2","first-page":"2754","volume":"87","author":"T Asai","year":"2004","unstructured":"Asai, T., Abe, K., Kawasoe, S., Arimura, H., Sakamoto, H., Arikawa, S.: Efficient substructure discovery from large semi-structured data. IEICE Trans. Inf. Syst. 87(2), 2754\u20132763 (2004)","journal-title":"IEICE Trans. Inf. Syst."},{"unstructured":"Russom, P.: Big data analytics TDWI best practices report. In: Introduction to Big Data Analytics (2011)","key":"87_CR3"},{"doi-asserted-by":"crossref","unstructured":"Dong, X., et al: Knowledge vault. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2014, pp. 601\u2013610 (2014)","key":"87_CR4","DOI":"10.1145\/2623330.2623623"},{"doi-asserted-by":"crossref","unstructured":"Li, L., Yao, Y., Tang, J., Fan, W., Tong, H.: QUINT. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2016, pp. 985\u2013994 (2016)","key":"87_CR5","DOI":"10.1145\/2939672.2939768"},{"doi-asserted-by":"crossref","unstructured":"Zhou, Y., Liu, L., Buttler, D.: Integrating vertex-centric clustering with edge-centric clustering for meta path graph analysis. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2015, pp. 1563\u20131572 (2015)","key":"87_CR6","DOI":"10.1145\/2783258.2783328"},{"doi-asserted-by":"crossref","unstructured":"Bi, B., Ma, H., Hsu, B.J.P., Chu, W., Wang, K., Cho, J.: Learning to recommend related entities to search users. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM 2015, pp. 139\u2013148 (2015)","key":"87_CR7","DOI":"10.1145\/2684822.2685304"},{"doi-asserted-by":"crossref","unstructured":"Blanco, R., Ottaviano, G., Meij, E.: Fast and space-efficient entity linking for queries. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM 2015, pp. 179\u2013188 (2015)","key":"87_CR8","DOI":"10.1145\/2684822.2685317"},{"doi-asserted-by":"crossref","unstructured":"Caballero Barajas, K.L., Akella, R.: Dynamically modeling patient\u2019s health state from electronic medical records. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2015, pp. 69\u201378 (2015)","key":"87_CR9","DOI":"10.1145\/2783258.2783289"},{"doi-asserted-by":"crossref","unstructured":"Kokkodis, M., Papadimitriou, P., Ipeirotis, P.G.: Hiring behavior models for online labor markets. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM 2015, pp. 223\u2013232 (2015)","key":"87_CR10","DOI":"10.1145\/2684822.2685299"},{"issue":"4","key":"87_CR11","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1504\/IJBDI.2016.079977","volume":"3","author":"N Zalmout","year":"2016","unstructured":"Zalmout, N., Ghanem, M.M.: Multivariate adaptive community detection in twitter. Int. J. Big Data Intell. 3(4), 239 (2016)","journal-title":"Int. J. Big Data Intell."},{"issue":"1","key":"87_CR12","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1504\/IJBDI.2016.073903","volume":"3","author":"TP Oliveira","year":"2016","unstructured":"Oliveira, T.P., Barbar, J.S., Soares, A.S.: Computer network traffic prediction: a comparison between traditional and deep learning neural networks. Int. J. Big Data Intell. 3(1), 28 (2016)","journal-title":"Int. J. Big Data Intell."},{"issue":"1","key":"87_CR13","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1504\/IJBDI.2017.081185","volume":"4","author":"N Makrynioti","year":"2017","unstructured":"Makrynioti, N., et al.: PaloPro: a platform for knowledge extraction from big social data and the news. Int. J. Big Data Intell. 4(1), 3 (2017)","journal-title":"Int. J. Big Data Intell."},{"issue":"1","key":"87_CR14","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1504\/IJBDI.2017.081196","volume":"4","author":"G Dimitrakopoulos","year":"2017","unstructured":"Dimitrakopoulos, G., Chatzigiannakis, V., Tsitouras, L.: A knowledge-based integrated framework for increasing social management intelligence. Int. J. Big Data Intell. 4(1), 36 (2017)","journal-title":"Int. J. Big Data Intell."},{"doi-asserted-by":"crossref","unstructured":"Mukherjee, S., Weikum, G., Danescu-Niculescu-Mizil, C.: People on drugs. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2014, pp. 65\u201374 (2014)","key":"87_CR15","DOI":"10.1145\/2623330.2623714"},{"doi-asserted-by":"crossref","unstructured":"Shashidhar, V., Pandey, N., Aggarwal, V.: Spoken English grading. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2015, pp. 2089\u20132097 (2015)","key":"87_CR16","DOI":"10.1145\/2783258.2788595"},{"doi-asserted-by":"crossref","unstructured":"Chen, Z., Liu, B.: Mining topics in documents. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2014, pp. 1116\u20131125 (2014)","key":"87_CR17","DOI":"10.1145\/2623330.2623622"},{"doi-asserted-by":"crossref","unstructured":"Wang, S., Chen, Z., Fei, G., Liu, B., Emery, S.: Targeted topic modeling for focused analysis. In: Proceeding of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2016, pp. 1235\u20131244 (2016)","key":"87_CR18","DOI":"10.1145\/2939672.2939743"},{"doi-asserted-by":"crossref","unstructured":"Kurashima, T., Iwata, T., Takaya, N., Sawada, H.: Probabilistic latent network visualization. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2014, pp. 1236\u20131245 (2014)","key":"87_CR19","DOI":"10.1145\/2623330.2623646"},{"doi-asserted-by":"crossref","unstructured":"Schubert, E., Weiler, M., Kriegel, H.-P.: SigniTrend. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2014, pp. 871\u2013880 (2014)","key":"87_CR20","DOI":"10.1145\/2623330.2623740"},{"unstructured":"Nagarajan, M., et al.: Predicting future scientific discoveries based on a networked analysis of the past literature. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD 2015, pp. 2019\u20132028 (2015)","key":"87_CR21"},{"issue":"4","key":"87_CR22","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1504\/IJBDI.2015.072160","volume":"2","author":"B Geerdink","year":"2015","unstructured":"Geerdink, B.: A reference architecture for big data solutions - introducing a model to perform predictive analytics using big data technology. Int. J. Big Data Intell. 2(4), 236 (2015)","journal-title":"Int. J. Big Data Intell."},{"doi-asserted-by":"crossref","unstructured":"Papaioannou, M., Plum, E., Rogers, E.T.F., Valente, J., Zheludev, N.I.: All-optical image recognition using metamaterials. In: Frontiers in Optics 2016, p. FF5G.7 (2016)","key":"87_CR23","DOI":"10.1364\/FIO.2016.FF5G.7"},{"issue":"2","key":"87_CR24","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1007\/s10791-011-9174-8","volume":"15","author":"K Ganesan","year":"2012","unstructured":"Ganesan, K., Zhai, C.: Opinion-based entity ranking. Inf. Retr. Boston 15(2), 116\u2013150 (2012)","journal-title":"Inf. Retr. Boston"}],"container-title":["Advances in Intelligent Systems and Computing","Trends and Advances in Information Systems and Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-77712-2_87","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,13]],"date-time":"2019-10-13T07:32:12Z","timestamp":1570951932000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-77712-2_87"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319777115","9783319777122"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-77712-2_87","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2018]]}}}