TY - BOOK AU - Thrun, S. PY - 1996 DA - 1996// TI - Explanation-based neural network learning: a lifelong learning approach PB - Kluwer Academic Publishers CY - Boston UR - https://doi.org/10.1007/978-1-4613-1381-6 DO - 10.1007/978-1-4613-1381-6 ID - Thrun1996 ER - TY - JOUR AU - Silver, D. L. PY - 1996 DA - 1996// TI - The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness JO - Connect Sci VL - 8 UR - https://doi.org/10.1080/095400996116929 DO - 10.1080/095400996116929 ID - Silver1996 ER - TY - CHAP AU - Silver, D. L. AU - Mercer, R. E. ED - Cohen, R. ED - Spencer, B. PY - 2002 DA - 2002// TI - The task rehearsal method of life-long learning: overcoming impoverished data BT - Advances in artificial intelligence PB - Springer CY - Berlin UR - https://doi.org/10.1007/3-540-47922-8_8 DO - 10.1007/3-540-47922-8_8 ID - Silver2002 ER - TY - CHAP AU - Silver, D. L. AU - Poirier, R. ED - Tawfik, A. Y. ED - Goodwin, S. D. PY - 2004 DA - 2004// TI - Sequential consolidation of learned task knowledge BT - Advances in artificial intelligence PB - Springer CY - Berlin UR - https://doi.org/10.1007/978-3-540-24840-8_16 DO - 10.1007/978-3-540-24840-8_16 ID - Silver2004 ER - TY - CHAP AU - Silver, D. L. AU - Mason, G. AU - Eljabu, L. ED - Barbosa, D. ED - Milios, E. PY - 2015 DA - 2015// TI - Consolidation using sweep task rehearsal: overcoming the stability-plasticity problem BT - Advances in artificial intelligence PB - Springer CY - Cham UR - https://doi.org/10.1007/978-3-319-18356-5_27 DO - 10.1007/978-3-319-18356-5_27 ID - Silver2015 ER - TY - STD TI - Hong X, Wong P, Liu D, Guan S-U, Man KL, Huang X. Lifelong machine learning: outlook and direction. In: Proceedings of the 2nd international conference on big data research. New York: ACM; 2018. p. 76–79. ID - ref6 ER - TY - STD TI - Hong X, Pal G, Guan S-U, Wong P, Liu D, Man KL, Huang X. Semi-unsupervised lifelong learning for sentiment classification: Less manual data annotation and more self-studying. In: Proceedings of the 2019 3rd high performance computing and cluster technologies conference. HPCCT 2019. New York: ACM; 2019. p. 87–92. https://doi.org/10.1145/3341069.3342992. ID - ref7 ER - TY - STD TI - Fei G, Wang S, Liu B. Learning cumulatively to become more knowledgeable. In: Proceedings of the 22Nd ACM SIGKDD international conference on knowledge discovery and data mining. KDD ’16. New York: ACM; 2016. p. 1565–1574. https://doi.org/10.1145/2939672.2939835. ID - ref8 ER - TY - STD TI - Ruvolo P, Eaton E. ELLA: an efficient lifelong learning algorithm. In: Dasgupta S, McAllester D, editors. Proceedings of the 30th international conference on machine learning. Proceedings of machine learning research, vol. 28. Atlanta: PMLR; 2013. p. 507–515. http://proceedings.mlr.press/v28/ruvolo13.html. Accessed 4 June 2019. UR - http://proceedings.mlr.press/v28/ruvolo13.html ID - ref9 ER - TY - STD TI - Kumar A, Daume III, H. Learning task grouping and overlap in multi-task learning. 2012; arXiv preprint arXiv:1206.6417. UR - http://arxiv.org/abs/1206.6417 ID - ref10 ER - TY - STD TI - Chen Z, Liu B. Topic modeling using topics from many domains, lifelong learning and big data. In: International conference on machine learning; 2014. p. 703–711. ID - ref11 ER - TY - STD TI - Wang S, Chen Z, Liu B. Mining aspect-specific opinion using a holistic lifelong topic model. In: Proceedings of the 25th international conference on world wide web; 2016; International World Wide Web Conferences Steering Committee. p. 167–176. ID - ref12 ER - TY - BOOK AU - Liu, Q. AU - Liu, B. AU - Zhang, Y. AU - Kim, D. S. AU - Gao, Z. PY - 2016 DA - 2016// TI - Improving opinion aspect extraction using semantic similarity and aspect associations PB - AAAI CY - Menlo Park ID - Liu2016 ER - TY - STD TI - Carlson A, Betteridge J, Wang RC, Hruschka Jr ER, Mitchell TM. Coupled semi-supervised learning for information extraction. In: Proceedings of the third ACM international conference on web search and data mining. New York: ACM; 2010. p. 101–110. ID - ref14 ER - TY - JOUR AU - Mitchell, T. AU - Cohen, W. AU - Hruschka, E. AU - Talukdar, P. AU - Yang, B. AU - Betteridge, J. AU - Carlson, A. AU - Dalvi, B. AU - Gardner, M. AU - Kisiel, B. PY - 2018 DA - 2018// TI - Never-ending learning JO - Commun ACM VL - 61 UR - https://doi.org/10.1145/3191513 DO - 10.1145/3191513 ID - Mitchell2018 ER - TY - STD TI - Li L, Yang Q. Lifelong machine learning test. In: Proceedings of the workshop on “Beyond the Turing Test” of AAAI conference on artificial intelligence; 2015. ID - ref16 ER - TY - JOUR AU - Salloum, S. AU - Dautov, R. AU - Chen, X. AU - Peng, P. X. AU - Huang, J. Z. PY - 2016 DA - 2016// TI - Big data analytics on apache spark JO - Int J Data Sci Anal VL - 1 UR - https://doi.org/10.1007/s41060-016-0027-9 DO - 10.1007/s41060-016-0027-9 ID - Salloum2016 ER - TY - STD TI - Solaimani M, Iftekhar M, Khan L, Thuraisingham B, Ingram JB. Spark-based anomaly detection over multi-source vmware performance data in real-time. In: 2014 IEEE symposium on computational intelligence in cyber security (CICS). New York: IEEE; p. 1–8 2014. ID - ref18 ER - TY - STD TI - Rettig L, Khayati M, Cudré-Mauroux P, Piórkowski M. Online anomaly detection over big data streams. In: 2015 IEEE international conference on big data (Big Data). New York: IEEE; 2015. p. 1113–1122. ID - ref19 ER - TY - STD TI - Guha S, Mishra N, Motwani R, O’Callaghan L. Clustering data streams. In: 41st annual symposium On foundations of computer science, 2000. Proceedings. New York: IEEE; 2000. p. 359–366. ID - ref20 ER - TY - JOUR AU - Gupta, M. AU - Gao, J. AU - Aggarwal, C. C. AU - Han, J. PY - 2014 DA - 2014// TI - Outlier detection for temporal data: a survey JO - IEEE Trans Knowl Data Eng VL - 26 UR - https://doi.org/10.1109/TKDE.2013.184 DO - 10.1109/TKDE.2013.184 ID - Gupta2014 ER - TY - BOOK AU - Agarwal, D. K. AU - Chen, B. -. C. PY - 2016 DA - 2016// TI - Statistical methods for recommender systems, Chap. 7 PB - Cambridge University Press CY - New York UR - https://doi.org/10.1017/CBO9781139565868 DO - 10.1017/CBO9781139565868 ID - Agarwal2016 ER - TY - JOUR AU - Chen, J. AU - Li, K. AU - Tang, Z. AU - Bilal, K. AU - Yu, S. AU - Weng, C. AU - Li, K. PY - 2017 DA - 2017// TI - A parallel random forest algorithm for big data in a spark cloud computing environment JO - IEEE Trans Parallel Distrib Syst VL - 28 UR - https://doi.org/10.1109/TPDS.2016.2603511 DO - 10.1109/TPDS.2016.2603511 ID - Chen2017 ER - TY - STD TI - Pal G, Li G, Atkinson K. Big data ingestion and lifelong learning architecture. In: 2018 IEEE international conference on Big Data (Big Data). New York: IEEE; 2018. p. 5420–5423. ID - ref24 ER - TY - JOUR AU - Pal, G. AU - Li, G. AU - Atkinson, K. PY - 2018 DA - 2018// TI - Multi-agent big-data lambda architecture model for e-commerce analytics JO - Data VL - 3 UR - https://doi.org/10.3390/data3040058 DO - 10.3390/data3040058 ID - Pal2018 ER - TY - STD TI - https://gdc.cancer.gov/. Accessed 1 June 2019. UR - https://gdc.cancer.gov/ ID - ref26 ER - TY - STD TI - https://spark.apache.org/docs/latest/mllib-clustering.html. Accessed 27 Oct 2018. UR - https://spark.apache.org/docs/latest/mllib-clustering.html ID - ref27 ER - TY - JOUR AU - Guha, S. AU - Meyerson, A. AU - Mishra, N. AU - Motwani, R. AU - O’Callaghan, L. PY - 2003 DA - 2003// TI - Clustering data streams: theory and practice JO - IEEE Trans Knowl Data Eng VL - 15 UR - https://doi.org/10.1109/TKDE.2003.1198387 DO - 10.1109/TKDE.2003.1198387 ID - Guha2003 ER - TY - STD TI - https://spark.apache.org/docs/2.2.0/mllib-statistics.html#stratified-sampling. Accessed 22 Jan 2019. UR - https://spark.apache.org/docs/2.2.0/mllib-statistics.html#stratified-sampling ID - ref29 ER - TY - STD TI - https://spark.apache.org/docs/2.2.0/api/java/org/apache/spark/ml/classification/RandomForestClassificationModel.html. Accessed 22 Jan 2019. UR - https://spark.apache.org/docs/2.2.0/api/java/org/apache/spark/ml/classification/RandomForestClassificationModel.html ID - ref30 ER - TY - JOUR AU - Hssina, B. AU - Merbouha, A. AU - Ezzikouri, H. AU - Erritali, M. PY - 2014 DA - 2014// TI - A comparative study of decision tree id3 and c4.5 JO - Int J Adv Comput Sci Appl UR - https://doi.org/10.14569/SpecialIssue.2014.040203 DO - 10.14569/SpecialIssue.2014.040203 ID - Hssina2014 ER - TY - JOUR AU - Ruggieri, S. PY - 2002 DA - 2002// TI - Efficient c4.5 [classification algorithm] JO - IEEE Trans Knowl Data Eng VL - 14 UR - https://doi.org/10.1109/69.991727 DO - 10.1109/69.991727 ID - Ruggieri2002 ER - TY - STD TI - https://spark.apache.org/docs/2.2.0/api/java/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.html. Accessed 22 Jan 2019. UR - https://spark.apache.org/docs/2.2.0/api/java/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.html ID - ref33 ER - TY - STD TI - https://splunkbase.splunk.com/app/2890/. Accessed 2 Feb 2019. UR - https://splunkbase.splunk.com/app/2890/ ID - ref34 ER - TY - STD TI - https://splunkbase.splunk.com/. Accessed 2 Feb 2019. UR - https://splunkbase.splunk.com/ ID - ref35 ER - TY - JOUR AU - Bland, J. M. AU - Altman, D. G. PY - 1998 DA - 1998// TI - Survival probabilities (the kaplan-meier method) JO - BMJ VL - 317 UR - https://doi.org/10.1136/bmj.317.7172.1572 DO - 10.1136/bmj.317.7172.1572 ID - Bland1998 ER - TY - JOUR AU - Peterson, A. V. PY - 1977 DA - 1977// TI - Expressing the kaplan-meier estimator as a function of empirical subsurvival functions JO - J Am Stat Assoc VL - 72 UR - https://doi.org/10.1080/01621459.1977.10479970 DO - 10.1080/01621459.1977.10479970 ID - Peterson1977 ER - TY - JOUR AU - Razali, N. M. AU - Wah, Y. B. PY - 2011 DA - 2011// TI - Power comparisons of shapiro-wilk, Kolmogorov–Smirnov, lilliefors and anderson-darling tests JO - J Stat Model Anal VL - 2 ID - Razali2011 ER - TY - CHAP AU - Abdi, H. AU - Molin, P. ED - Salkind, N. J. ED - Rasmussen, K. PY - 2007 DA - 2007// TI - Lilliefors/van soest’s test of normality BT - Encyclopedia of measurement and statistics PB - Sage CY - Thousand Oaks ID - Abdi2007 ER - TY - JOUR AU - Lilliefors, H. W. PY - 1967 DA - 1967// TI - On the Kolmogorov–Smirnov test for normality with mean and variance unknown JO - J Am Stat Assoc VL - 62 UR - https://doi.org/10.1080/01621459.1967.10482916 DO - 10.1080/01621459.1967.10482916 ID - Lilliefors1967 ER - TY - JOUR AU - Massey, F. J. PY - 1951 DA - 1951// TI - The Kolmogorov–Smirnov test for goodness of fit JO - J Am Stat Assoc VL - 46 UR - https://doi.org/10.1080/01621459.1951.10500769 DO - 10.1080/01621459.1951.10500769 ID - Massey1951 ER - TY - STD TI - Davis J, Goadrich M. The relationship between precision-recall and roc curves. In: Proceedings of the 23rd international conference on machine learning. New York: ACM; 2006. p. 233–240. ID - ref42 ER - TY - JOUR AU - Purves, R. D. PY - 1992 DA - 1992// TI - Optimum numerical integration methods for estimation of area-under-the-curve (auc) and area-under-the-moment-curve (aumc) JO - J Pharm Biopharm VL - 20 UR - https://doi.org/10.1007/BF01062525 DO - 10.1007/BF01062525 ID - Purves1992 ER -