In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a
Swiss Federal Institute of Technology, Lausanne, Switzerland Cite this chapter Dalkilic, M.M., Roberston, E.L., Van Gucht, D. (1998).CE: The Classifier-Estimator Framework for Data Mining. In: Spaccapietra, S., Maryanski, F. (eds) Data Mining and Reverse Engineering. IFIP — The Inte...
Database mining: A performance perspective IEEE Transactions on Knowledge and Data Engineering (1993) Gehrke, J., Ramakrishnan, R., & Ganti, V. (1998). Rainforest: A framework for fast decision tree construction of large... D.F. Gordon et al. Evaluation and selection of biases in machine...
Fu, Z. (1999). An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining. In: Żytkow, J.M., Rauch, J. (eds) Principles of Data Mining and Knowledge Discovery. PKDD 1999. Lecture Notes in Computer Science(), vol 1704. Springer, Berlin, Heidelberg. https://doi.org...
Yet, none of them seems to be able to outperform all others in all possible applications. Hence, the quest for a more effective and more universal approach to mining imbalanced data is still going on. Following García and Herrera, 2009, Krawczyk, 2016 and many others, the existing body of...
Artificial neural networks (ANNs) have been widely applied in data mining as a supervised classification technique. The accuracy of this model is mainly provided by its high tolerance to noisy data as well as its ability to classify patterns on which they have not been trained. Moreover, the ...
A text classifier based on Decision Trees ID3, Naive Bayes and KNN algorithm in C++ and JAVA. - yangliuy/DataMiningClassifier
data mining;LM neural network;CART decision tree;water supply operation 1. Introduction In recent years, the increasing conflicts of water demand and supply have promoted a greater need for reasonable water resource development and management [1,2,3,4]. Currently, the operation target for a reser...
The experiments have also revealed advantages of the method in comparison with state-of-the-art algorithms for data transmission reduction. Keywords: wireless sensor network; wearable sensors; activity recognition; lifetime; energy consumption; transmission suppression; embedded machine learning...
Co-author of the popular book Data Science for Business, Tom brings over 20 years of experience applying machine learning and data mining in practical applications. He is a veteran of companies such as Verizon and HP Labs, and an editor of the Machine Learning Journal.Share...