Charu C. Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T.J. Watson Research Center in Yorktown Heights, New York. He completed his B.S. from IIT Kanpur in 1993 and his Ph.D. from the Massachusetts Institute of Technology in 1996. He has worked extensively in the field of data mining.
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2018-1-3 · S. Iyer et al. 2014. Mining clinical text for signals of adverse drug-drug interactions. JAMIA 21, 2 (2014), 353--62. Google Scholar Cross Ref; H. Jackson et al. 2011. Data mining derived treatment algorithms from the electronic medical record improve theoretical empirical therapy for outpatient urinary tract infections.
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2016-12-15 · C Mining for Enhanced Web Search MEWS C International Workshop on Middleware for Grid Computing MGC C Mid-West Conference on Combinatorics, Cryptography, and Computing MIGHTY C International Workshop on Modelling in Software Engineering
2021-1-25 · S&P A International Cryptology Conference CRYPTO ... SIAM Journal on Computing SICOMP A ACM Symposium on the Theory of Computing STOC ...
2019-12-3 · Additional notes. Two versions of codes are provided: Demo version (demo_lof.py) is created for the fast reproduction of the experiment results. The demo version only compares the baseline algorithms with LSCP algorithms. Production version (Python Outlier Detection (PyOD)) is released with full optimization and testing as a framework.The purpose of this version is to …
2018-7-26 · High-dimensional data analysis is a challenge for researchers and engineers in the fields of machine learning and data mining. Feature selection provides an effective way to solve this problem by removing irrelevant and redundant data, which can reduce computation time, improve learning accuracy, and facilitate a better understanding for the learning model or data.
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2019-6-15 · In Proceedings of the 2019 SIAM International Conference on Data Mining (SDM), pp. 612-620. Society for Industrial and Applied Mathematics. ^ Ding, K., Li, J. and Liu, H., 2019, January. Interactive anomaly detection on attributed networks. In Proceedings of
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Datasets. This website provides a set of public benchmark datasets to evaluate learning algorithms in nonstationary environments. In particular, it provides datasets with incremental and gradual concept drifts. These datasets are well-suited for evaluation of stream algorithms that do not require actual labels during the online classification ...
2019-5-24 · （2019）
2009 Proceedings of the Workshop on Algorithm Engineering and Experiments (ALENEX) Editor (s): John Hershberger and Irene Finocchi. Published: 2009. Pages: 1-174. eISBN: 978-1-61197-289-4. ISBN: 978-0-89871-930-7. Book Code: PRAL09. 2009 Proceedings of the Workshop on Analytic Algorithmics and Combinatorics (ANALCO) Editor (s): Robert Sedgewick ...
2018-9-18 · When discrete ill-posed problems are analyzed and solved by various numerical regularization techniques, a very convenient way to display information about the regularized solution is to plot the norm or seminorm of the solution versus the norm of the residual vector.
is an engineering group in mining and rock excavation, rock processing, metal cutting and materials technology, providing optimized products and solutions based on digitalization, innovation and sustainable engineering.
2021-12-15 · Selected Publications [click here for a complete list by year] [194] K.Yin, W. K. Cheung, B. C. M. Fung, and J. Poon. Learning inter-modal correspondence and phenotypes from multi-modal electronic health records.IEEE Transactions on Knowledge and Data Engineering (TKDE), 20 pages, in press.IEEE Computer Society. [ full paper | bibtex | JCR impact factor: …
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2021-12-15 · In Proceedings of the 21st SIAM International Conference on Data Mining (SDM), pages 594-602, Alexandria, VA: SIAM, May 2021. ... K. Wang, and B. C. M. Fung. Mining high utility patterns in one phase without generating candidates. IEEE Transactions on Knowledge and Data ... B. C. M. Fung, and P. S. Yu. Handicapping attacker''s ...
2019-10-21 · Uplift modeling with multiple treatments and general response types. Proceedings of the 2017 SIAM International Conference on Data Mining, SIAM, 2017. [] [Github] Athey, S., and Imbens, G. W. 2015. Machine learning methods for []
2021-12-9 · Perlich, C., SIAM International Conference on Data Mining 2007 "Discriminative Embedding for Classification Tasks in Complex Relational and Network Domains" Perlich, C., Workshop on Novel Applications of Dimensionality Reduction at NIPS 2006 "Quantile Modeling for Marketing" Perlich, C., S. Rosset and B. Zadrozny.
2016-12-15 · C Mining for Enhanced Web Search MEWS C International Workshop on Middleware for Grid Computing MGC C Mid-West Conference on Combinatorics, Cryptography, and Computing MIGHTY C International Workshop on Modelling in Software Engineering
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2017-7-27 · SDM - SIAM Conference on Data Mining (40) (439) CIKM: Intl. Conf on Information and Knowledge Management (131) PKDD/ECML (99) DEXA: Database and Expert System Applications (84) DASFAA: Database Systems for Advanced Applications (27) ...
2019-2-17 · Aryal S, Kai M T, Wells J R, et al. Improving iForest with Relative Mass[C]// Pacific-Asia Conference on Knowledge Discovery and Data …