Contrast Data Mining: Concepts, Algorithms, and Applications, Data Mining and Knowledge Discovery Series, chap. 43, pp. Fut. 10.1007/3-540-45014-9_1 (2000). : A First Approach to Handle Fuzzy Emerging Patterns Mining on Big Data Problems: The Evaefp-Spark Algorithm. Y]$j'),/Ap&_r>gMvZP\'%#4LgigQ5d4*0`Z|xm 12931296. 0000020649 00000 n
312. 0000019612 00000 n
Advances in Soft Computing, pp. Rough Sets and Current Trends in Computing, pp. GhasemiGol M, Ghaemi-Bafghi A, Takabi H. A comprehensive approach for network attack forecasting. 1, pp. 10.1007/978-3-319-25931-4_15 (2016), Noh, T., Walbert, T.: Chapter 6 - Brain Metastasis: Clinical Manifestations, Symptom Management, and Palliative Care. and transmitted securely. Nature Public Health Emergency Collection, http://www.sciencedirect.com/science/article/pii/S0957417414001481, http://www.sciencedirect.com/science/article/pii/S0952197614002097, https://doig.org/10.1016/j.jpdc.2018.11.002, http://www.sciencedirect.com/science/article/pii/S0743731518308244, https://doig.org/10.1016/j.future.2018.12.030, http://www.sciencedirect.com/science/article/pii/S0167739X18315838, http://dl.acm.org/citation.cfm?id=3091622.3091637, http://www.sciencedirect.com/science/article/pii/S003132031300246X, http://www.sciencedirect.com/science/article/pii/S0950705117304860, http://dl.acm.org/citation.cfm?id=645527.657305, https://doig.org/10.1016/j.eswa.2017.04.038, http://www.sciencedirect.com/science/article/pii/S0957417417302877, https://doig.org/10.1016/j.datak.2004.06.011, http://www.sciencedirect.com/science/article/pii/S0169023X04001107, http://www.sciencedirect.com/science/article/pii/S0957417411013947, https://doig.org/10.1016/j.tourman.2014.06.015, http://www.sciencedirect.com/science/article/pii/S0261517714001174, http://dl.acm.org/citation.cfm?id=645529.657809, http://dl.acm.org/citation.cfm?id=645496.657866, http://dl.acm.org/citation.cfm?id=3000292.3000305, http://iospress.metapress.com/content/220668WV01J24660, https://www.sciencedirect.com/science/article/pii/S1566253517307716, https://doig.org/10.1016/j.ins.2016.09.040, http://www.sciencedirect.com/science/article/pii/S0020025516309379, https://doig.org/10.1016/j.neucom.2015.04.120, http://www.sciencedirect.com/science/article/pii/S0925231215015908, http://dl.acm.org/citation.cfm?id=1625015.1625078, http://www.sciencedirect.com/science/article/pii/S0020025518307837, http://www.sciencedirect.com/science/article/pii/S0957417401000379, http://www.sciencedirect.com/science/article/pii/S0306437903000723, http://dl.acm.org/citation.cfm?id=3000292.3000357, http://www.sciencedirect.com/science/article/pii/S0957417418306213, https://doig.org/10.1007/s11704-018-8106-9. 207211. The .gov means its official. ACM, New York. In: International Workshop from Local Patterns to Global Models (ECML08), pp. 269282. (eds.) 0000008484 00000 n
Chen, L., Dong, G.: Masquerader Detection Using Oclep: One-Class Classification Using Length Statistics of Emerging Patterns. Mining Patterns Discriminating Deviant Behaviours. : Generating accurate rule sets without global optimization. Compton K, Hauck S. Reconfigurable computing: A survey of systems and software. Knowl. Martnez-Daz, Y., Mndez-Vzquez, H., Lpez-Avila, L., Chang, L., Sucar, L.E., Tistarelli, M.: Toward More Realistic Face Recognition Evaluation Protocols for the Youtube Faces Database. 10.1109/CVPRW.2018.00082 (2018). Performances enhancement of fingerprint recognition system using classifiers. All Rights ReservedCMSY7 t ] 0j , #N lv 8vt}}trskx0*ww|~7~xy}y(L(K}y}y{7~|z-xniy}XXX@),* . ]qmpkcj~E I$S%V]srt}2~st? = }K#N30P In: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. On fisher vector encoding of binary features for video face recognition. 0000013545 00000 n
Geng L, Hamilton HJ. (eds.) Oliveto PS, He J, Yao X. ACM (2015), Huynh, X.H., Guillet, F., Blanchard, J., Kuntz, P., Briand, H., Gras, R.: A Graph-Based Clustering Approach to Evaluate Interestingness Measures: a Tool and a Comparative Study. ino6[JB@h+$HsxL? ,/: Vw]#r~|,QLqkiW;"13Y2PuITo7lVl1` Lo )-Vl7YI=4l8#sHCm0*``8KBOlo In: Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, pp. 10.1145/956750.956779 (2003), Wang, L., Wang, Y., Zhao, D.: Building Emerging Pattern (Ep) Random Forest for Recognition. 6068.
COEPOE+CMSY7 (J_|K:EL
W\asteriskmathprimeCopyright (C) 1997 American Mathematical Society. a survey and framework on event detection techniques on twitter. Fusion. 0000029829 00000 n
The site is secure. 1, pp. Discov. : Identifying emerging hotel preferences using emerging pattern mining technique. 0000012413 00000 n
0000012874 00000 n
305312 (2007). 7, pp. Loyola-Gonzlez, O., Lpez-Cuevas, A., Medina-Prez, M.A., Camia, B., Ramrez-Mrquez, J.E., Monroy, R.: Fusing pattern discovery and visual analytics approaches in tweet propagation. Received 2019 Aug 16; Accepted 2020 Jun 19. Rotation forest: a new classifier ensemble method. 241256. In: 2001 IEEE International Conference on Data Mining, ICDM 01, pp. Inf. 860865. In: Guillet, F., Hamilton, H. 344348. 10.1109/LASCAS.2017.7948076 (2017). Springer, Berlin. 3245. .)4KDMYimfQ:uW6os-(F7}mtHs;8'j:&`fn2zWDm4Tm04BVtNtS_[o]MbdDjyK! Principles of Data Mining and Knowledge Discovery, pp. 115123. Sherhod, R., Judson, P.N., Hanser, T., Vessey, J.D., Webb, S.J., Gillet, V.J. 79, pp. Learning interpretable fuzzy inference systems with fispro. Loyola-Gonzlez O, Monroy R, Rodriguez J, Lpez-Cuevas A, Israel MSJ. Advances in Web-Age Information Management, pp. 0000005876 00000 n
Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. Leemans, M., van der Aalst, W.M. Inf. In: Coenen, F., Preece, A., Macintosh, A. ACM, New York. Quinlan, J.R.: C4.5: programs for machine learning. Lpez V, Fernndez A, Herrera F. On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed. J. Chem. Appl. : Evaluation of quality measures for contrast patterns by using unseen objects. An Z, Deng W, Hu J, Zhong Y, Zhao Y. Apa: Adaptive pose alignment for pose-invariant face recognition. In: New Generation of Data Mining Applications, Chap. 16, pp. qLbx1 331354. (eds.) @""B@! 0000019634 00000 n
0000002872 00000 n
official website and that any information you provide is encrypted : Emerging Pattern Based Classification for Automated Non-Safe Power Line Detection. PMC legacy view 10.1145/1601966.1601981 (2009). Contrast Data Mining: Concepts, Algorithms, and Applications, Data Mining and Knowledge Discovery Series, chap. Sci. 0000010663 00000 n
In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, KDD98, pp. 4352. 111 0 obj
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10.1109/WAIMW.2006.19 (2006). International Journal of Machine Learning and Cybernetics. USA, Chapman & Hall/CRC (2012). Thomas, S., Sarawagi, S.: Mining generalized association rules and sequential patterns using sql queries. !O\ 1_R"s]cfZO9s-,X+'tR/WZk**D ?$?RvY. Cieslak, D.A., Chawla, N.V.: Learning decision trees for unbalanced data. Artif. Zhao XM, Ngom A, Hao JK. Bethesda, MD 20894, Web Policies Expert Syst. 310. *D:Wj^pREC2k2,y'?V0i,|UGuXhm9Tpt8PvOB^{8dJh[^_qH?5j:ynT In: Graa, M., Lpez-Guede, J.M., Etxaniz, O., Herrero, ., Quintin, H., Corchado, E. Song W, Liang JZ, Cao XL, Park SC. 293302. Atlantis Press (2016). 10.1007/978-3-030-33749-0_12. Springer, Berlin (2008). 16. 233240. Neubarth, K., Conklin, D.: Contrast Pattern Mining in Folk Music Analysis, pp. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, SIGMOD 00, pp. 304307. Bustio-Martnez L, Cumplido R, Hernndez-Len R, Bande-Serrano JM, Feregrino-Uribe C. On the design of hardware-software architectures for frequent itemsets mining on data streams. Computational intelligence techniques in bioinformatics. (eds.) Dong, G., Bailey, J.: Contrast Data Mining: concepts, Algorithms, and Applications, 1st edn. Reps JM, Aickelin U, Hubbard RB. IT&-Q\U~ku-G2byRZzRA,& pIEK]amhoY
eCSSnml6%e!j^M;l&{dwj76v%Rfzz+nl ()xt l & q0dh``RR6
M mPQA%444 Bouadjenek MR, Hacid H, Bouzeghoub M. Social networks and information retrieval, how are they converging? In: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 99, pp. Springer International Publishing, Cham (2018). Liu Q, Ghosh S, Li J, Wong L, Ramamohanarao K. Discovering pan-correlation patterns from time course data sets by efficient mining algorithms. i@'B@! 662671. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(8) (1998). Baum, L.E., Petrie, T.: Statistical inference for probabilistic functions of finite state markov chains. Front. USA, Chapman & Hall/CRC (2012), Zhang, X., Dong, G., Ramamohanarao, K.: Information-Based Classification by Aggregating Emerging Patterns. 3042. 19, pp. Berlin, Springer (2002), Barandiaran, I.: The random subspace method for constructing decision forests. Data Anal. Cohen, W.W.: Fast effective rule induction. Lego (2008), Kobyliski, ., Walczak, K.: Jumping Emerging Patterns with Occurrence Count in Image Classification. Scalable algorithms for association mining. Contrast Data Mining: Concepts, Algorithms, and Applications, Data Mining and Knowledge Discovery Series, chap. 10.1109/DSAA.2016.75 (2016). Sci. 456462. (eds.) tAatL;ceaP,SpgF! New structural alerts for ames mutagenicity discovered using emerging pattern mining techniques. Knowl.-Based Syst. Bustio-Martnez, L., Cumplido, R., Letras-Luna, M., Uribe, C.F., Hernndez-Lon, R., Bande-Serrano, J.M. 8593. (eds.) i9b^y:jOM6#Ci_(yCZqTz/~||m)ZkBhu~\.fUM+?`3yG+k}Q3qk&X*pZ`i^veB@u~hY'PAF%CZ/HsK}D~0~(}5)OE(2;De&mW9YB6jFk>! ZnI5z58j Ui*) Kim, J., Choi, K., Kim, G., Suh, Y.: Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost. Scientometrics. 0000040141 00000 n
Morgan Kaufmann Publishers Inc., San Francisco. : Emerging Patterns Based Methodology for Prediction of Patients with Myocardial Ischemia. Comput. 0000009265 00000 n
(eds.) Appl. > Y P Q R S T U V W X nN WTS!hdPNG
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on Intelligent Techniques and Soft Computer, Germany, pp. Domingos, P.: MetaCost: a general method for making classifiers cost-sensitive. Math. endstream
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43, pp. Before Morgan Kaufmann Publishers Inc., San Francisco. will also be available for a limited time. 6256, pp. In: Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, SIGMOD 98, pp. 10.1109/WI.2005.96 (2005). 4754 (2003), Thabtah, F., Cowling, P., Peng, Y.: MCAR: Multi-Class Classification Based on Association Rule. Martnez-Daz Y, Hernndez N, Biscay RJ, Chang L, Mndez-Vzquez H, Sucar LE. Contrast Data Mining: Concepts, Algorithms, and Applications, Data Mining and Knowledge Discovery Series, chap. Brodley CE, Utgoff PE. 0000016518 00000 n
: Handbook of Parametric and Nonparametric Statistical Procedures, 4 edn.
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