Data Mining: The Textbook

903 citations recorded by the source corpus.

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Recommender Systems (2016, unknown): “This definition has a direct analog in classification, regression, and semisupervised learning algorithms [22].”
Big Data Preprocessing: Enabling Smart Data (2020, methodology): “(2013). MapReduce is good enough? If all you have is a hammer, throw away everything that’s not a nail! Big Data, 1(1), 28–37. 27. Liu, H., Hussain, F., Tan, C. L., & Dash, M. (2002). Discretization: An enabling technique. Data Mining and Knowledge Discovery, 6(4), 393–423. 28. Liu, H., & Motoda, H.”
A Survey of Sequential Pattern Mining (2017, background): “Some of the most fundamental data mining tasks are clustering, classiﬁcation, outlier analysis, and pattern mining [6, 58].”
Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey (2020, methodology): “Some of these methods include: • Using a low pass filter [187]; • Using regression models [188]; • Applying a data binning method [189]; • Using wavelet methods in time-series [186].”
Big data preprocessing: methods and prospects (2016, background): “These premises have led to the development of data science or data mining [1], a well-known discipline which is more and more present in the current world of the Information Age.”
Neural Networks and Deep Learning (2018, unknown): “This process leads to the development of a model that is identical to the time-series autoregressive model [3].”