SLIQ: A fast scalable classifier for data mining

Data mining: concepts and techniques

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Data Mining: Practical Machine Learning Tools and Techniques

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LightGBM: A Highly Efficient Gradient Boosting Decision Tree

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A survey on concept drift adaptation

Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014) · ACM Computing Surveys · doi:10.1145/2523813 · Cited by 3,735

Automatic subspace clustering of high dimensional data for data mining applications

Agrawal, R., Gehrke, J., Gunopulos, D., & Raghavan, P. (1998) · Proceedings of the 1998 ACM SIGMOD international conference on Management of data · doi:10.1145/276304.276314 · Cited by 2,412

Mining time-changing data streams

Hulten, G., Spencer, L., & Domingos, P. (2001) · Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/502512.502529 · Cited by 1,748

Order preserving encryption for numeric data

Agrawal, R., Kiernan, J., Srikant, R., & Xu, Y. (2004) · Proceedings of the 2004 ACM SIGMOD international conference on Management of data · doi:10.1145/1007568.1007632 · Cited by 1,206

Interpretable machine learning: Fundamental principles and 10 grand challenges

Rudin, C., Chen, C., Chen, Z., Huang, H., Semenova, L., & Zhong, C. (2022) · Statistics Surveys · doi:10.1214/21-ss133 · Cited by 958

Big data analytics: A survey

Tsai, C.-W., Lai, C.-F., Chao, H.-C., & Vasilakos, A. V. (2015) · Journal of Big Data · doi:10.1186/s40537-015-0030-3 · Cited by 818

Enhanced hypertext categorization using hyperlinks

Chakrabarti, S., Dom, B., & Indyk, P. (1998) · Proceedings of the 1998 ACM SIGMOD international conference on Management of data · doi:10.1145/276304.276332 · Cited by 769

Decision Trees

Rokach, L., & Maimon, O. (2006) · Data Mining and Knowledge Discovery Handbook · doi:10.1007/0-387-25465-x_9 · Cited by 594

New ensemble methods for evolving data streams

Bifet, A., Holmes, G., Pfahringer, B., Kirkby, R., & Gavaldà, R. (2009) · Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1557019.1557041 · Cited by 558

Decision forest: Twenty years of research

Rokach, L. (2016) · Information Fusion · doi:10.1016/j.inffus.2015.06.005 · Cited by 472

Series in Machine Perception and Artificial Intelligence

(2012) · Series in machine perception and artificial intelligence · doi:10.1142/smpai · Cited by 365

A novel evolutionary data mining algorithm with applications to churn prediction

Au, W.-H., Chan, K. C. C., & Yao, X. (2003) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2003.819264 · Cited by 348

A Pearson’s correlation coefficient based decision tree and its parallel implementation

Mu, Y., Liu, X., & Wang, L. (2018) · Information Sciences · doi:10.1016/j.ins.2017.12.059 · Cited by 336

Integrating association rule mining with relational database systems: alternatives and implications

Sarawagi, S., Thomas, S., & Agrawal, R. (1998) · Proceedings of the 1998 ACM SIGMOD international conference on Management of data · doi:10.1145/276304.276335 · Cited by 306

Krimp: mining itemsets that compress

Vreeken, J., van Leeuwen, M., & Siebes, A. (2011) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-010-0202-x · Cited by 300

BOAT—optimistic decision tree construction

Gehrke, J., Ganti, V., Ramakrishnan, R., & Loh, W.-Y. (1999) · ACM SIGMOD Record · doi:10.1145/304181.304197 · Cited by 288

A Survey of Methods for Scaling Up Inductive Algorithms

Provost, F., & Kolluri, V. (1999) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009876119989 · Cited by 277

Decision tree and PCA-based fault diagnosis of rotating machinery

Sun, W., Chen, J., & Li, J. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.06.010 · Cited by 272

Decision tree classifiers for automated medical diagnosis

Azar, A. T., & El-Metwally, S. M. (2013) · Neural Computing and Applications · doi:10.1007/s00521-012-1196-7 · Cited by 242

Detecting outlying properties of exceptional objects

Angiulli, F., Fassetti, F., & Palopoli, L. (2009) · ACM Transactions on Database Systems · doi:10.1145/1508857.1508864 · Cited by 88