{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T16:26:36Z","timestamp":1725985596676},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319973036"},{"type":"electronic","value":"9783319973043"}],"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\/978-3-319-97304-3_59","type":"book-chapter","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T14:34:06Z","timestamp":1532615646000},"page":"772-785","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ANNC: AUC-Based Feature Selection by Maximizing Nearest Neighbor Complementarity"],"prefix":"10.1007","author":[{"given":"Xuemeng","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jinmao","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Jianhua","family":"Ruan","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,27]]},"reference":[{"key":"59_CR1","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"59_CR2","doi-asserted-by":"crossref","unstructured":"Nie, F., Zhu, W., Li, X.: Unsupervised feature selection with structured graph optimization. In: Proceeding of the 30th AAAI, pp. 1302\u20131308 (2016)","DOI":"10.1609\/aaai.v30i1.10168"},{"issue":"2","key":"59_CR3","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1109\/TPAMI.2016.2544315","volume":"39","author":"A Barbu","year":"2017","unstructured":"Barbu, A., She, Y., Ding, L., et al.: Feature selection with annealing for computer vision and big data learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(2), 272\u2013286 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"59_CR4","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1109\/TKDE.2016.2616305","volume":"29","author":"H Wang","year":"2017","unstructured":"Wang, H., Zhang, P., Zhu, X., et al.: Incremental subgraph feature selection for graph classification. IEEE Trans. Knowl. Data Eng. 29(1), 128\u2013142 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"59_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1109\/MIS.2017.38","volume":"32","author":"J Li","year":"2017","unstructured":"Li, J., Liu, H.: Challenges of feature selection for big data analytics. IEEE Intell. Syst. 32(2), 9\u201315 (2017)","journal-title":"IEEE Intell. Syst."},{"key":"59_CR6","unstructured":"Tang, J., Alelyani, S., Liu, H.: Feature selection for classification: a review. In: Data Classification: Algorithms and Applications. CRC Press, CA (2014)"},{"issue":"3","key":"59_CR7","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1109\/TKDE.2011.222","volume":"25","author":"Z Zhao","year":"2013","unstructured":"Zhao, Z., Wang, L., Liu, H., Ye, J.: On similarity preserving feature selection. IEEE Trans. Knowl. Data Eng. 25(3), 619\u2013632 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"59_CR8","first-page":"163","volume":"9","author":"LX Jiang","year":"2006","unstructured":"Jiang, L.X., Zhang, H., Cai, Z.H.: Discriminatively improving Naive Bayes by evolutionary feature selection. Rom. J. Inf. Sci. Technol. 9(3), 163\u2013174 (2006)","journal-title":"Rom. J. Inf. Sci. Technol."},{"key":"59_CR9","doi-asserted-by":"crossref","unstructured":"Chen, X., Wasikowski, M.: FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems. In: Proceeding of the 14th ACM SIGKDD International Conference on KDD, pp. 124\u2013132 (2008)","DOI":"10.1145\/1401890.1401910"},{"issue":"2","key":"59_CR10","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1093\/biostatistics\/kxq052","volume":"12","author":"Z Wang","year":"2011","unstructured":"Wang, Z., Chang, Y.C.: Marker selection via maximizing the partial area under the ROC curve of linear risk scores. Biostatistics 12(2), 369\u2013385 (2011)","journal-title":"Biostatistics"},{"key":"59_CR11","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.neucom.2012.01.013","volume":"89","author":"R Wang","year":"2012","unstructured":"Wang, R., Tang, K.: Feature selection for MAUC-oriented classification systems. Neurocomputing 89, 39\u201354 (2012)","journal-title":"Neurocomputing"},{"issue":"12","key":"59_CR12","doi-asserted-by":"publisher","first-page":"2393","DOI":"10.1016\/j.patcog.2006.07.010","volume":"39","author":"H Mamitsuka","year":"2006","unstructured":"Mamitsuka, H.: Selecting features in microarray classification using ROC curves. Pattern Recogn. 39(12), 2393\u20132404 (2006)","journal-title":"Pattern Recogn."},{"key":"59_CR13","doi-asserted-by":"crossref","unstructured":"Wang, R., Tang, K.: Feature selection for maximizing the area under the ROC curve. In: Proceeding of ICDMW 2009, pp. 400\u2013405 (2009)","DOI":"10.1109\/ICDMW.2009.25"},{"issue":"3","key":"59_CR14","first-page":"73","volume":"18","author":"L Sun","year":"2017","unstructured":"Sun, L., Wang, J., Wei, J.: AVC: selecting discriminative features on basis of AUC by maximizing variable complementarity. BMC Bioinf. 18(3), 73\u201389 (2017)","journal-title":"BMC Bioinf."},{"issue":"2","key":"59_CR15","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1023\/A:1010920819831","volume":"45","author":"DJ Hand","year":"2001","unstructured":"Hand, D.J., Till, R.J.: A simple generalisation of the area under the ROC curve for multiple class classification problems. Mach. Learn. 45(2), 171\u2013186 (2001)","journal-title":"Mach. Learn."},{"issue":"9","key":"59_CR16","doi-asserted-by":"publisher","first-page":"1610","DOI":"10.1109\/TPAMI.2009.190","volume":"32","author":"Y Sun","year":"2010","unstructured":"Sun, Y., Todorovic, S., Goodison, S.: Local-learning-based feature selection for high-dimensional data analysis. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1610\u20131626 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"59_CR17","doi-asserted-by":"publisher","first-page":"1209","DOI":"10.1109\/TCYB.2014.2347057","volume":"45","author":"Y Liu","year":"2015","unstructured":"Liu, Y., Tang, F., Zeng, Z.: Feature selection based on dependency margin. IEEE Trans. Cybern. 45(6), 1209\u20131221 (2015)","journal-title":"IEEE Trans. Cybern."},{"issue":"4","key":"59_CR18","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/TKDE.2017.2650906","volume":"29","author":"J Wang","year":"2017","unstructured":"Wang, J., Wei, J.M., Yang, Z., Wang, S.Q.: Feature selection by maximizing independent classification information. IEEE Trans. Knowl. Data Eng. 29(4), 828\u2013841 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1\u20132","key":"59_CR19","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1023\/A:1025667309714","volume":"53","author":"M Robnik-\u0160ikonja","year":"2003","unstructured":"Robnik-\u0160ikonja, M., Kononenko, I.: Theoretical and empirical analysis of ReliefF and RReliefF. Mach. Learn. 53(1\u20132), 23\u201369 (2003)","journal-title":"Mach. Learn."},{"key":"59_CR20","doi-asserted-by":"crossref","unstructured":"Roffo, G., Melzi, S., Cristani, M.: Infinite feature selection. In: Proceedings of the IEEE ICCV 2015, pp. 4202\u20134210 (2015)","DOI":"10.1109\/ICCV.2015.478"},{"key":"59_CR21","unstructured":"Bache, K., Lichman, M.: UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml"},{"issue":"6871","key":"59_CR22","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1038\/415530a","volume":"415","author":"LJ Van\u2019t Veer","year":"2002","unstructured":"Van\u2019t Veer, L.J., Dai, H., Van De Vijver, M.J., et al.: Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871), 530\u2013536 (2002)","journal-title":"Nature"},{"issue":"6","key":"59_CR23","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1109\/TNNLS.2013.2287275","volume":"25","author":"XW Liu","year":"2014","unstructured":"Liu, X.W., Wang, L., Zhang, J., Yin, J.P., Liu, H.: Global and local structure preservation for feature selection. IEEE Trans. Neural Netw. Learn. Syst. 25(6), 1083\u20131095 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"59_CR24","doi-asserted-by":"crossref","unstructured":"Xu, J.L., Nie, F.P., Han, J.W.: Feature selection via scaling factor integrated multi-class support vector machines. In: Proceeding of the 26th IJCAI, pp. 1302\u20131308 (2017)","DOI":"10.24963\/ijcai.2017\/442"},{"issue":"6","key":"59_CR25","doi-asserted-by":"publisher","first-page":"11022","DOI":"10.1016\/j.eswa.2012.03.022","volume":"39","author":"LX Jiang","year":"2012","unstructured":"Jiang, L.X., Cai, Z.H., Zhang, H., Wang, D.H.: Not so greedy: randomly selected naive Bayes. Expert Syst. Appl. 39(6), 11022\u201311028 (2012)","journal-title":"Expert Syst. Appl."}],"container-title":["Lecture Notes in Computer Science","PRICAI 2018: Trends in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97304-3_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,28]],"date-time":"2022-08-28T03:38:18Z","timestamp":1661657898000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97304-3_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319973036","9783319973043"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97304-3_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}