… the experimental evaluation of stream classifiers and drift detectors. To that end, we propose
a new public data repository for benchmarking stream algorithms with real-world data. This …

… We first provide the basic concepts in the stream setting while … Then, we review the progress
in the different stream mining tasks with a particular focus the most active task, classification, …

… the data may change over time. Table 1 shows the various aspects of traditional data mining
and data stream mining. … It contains two models, and comparative analysis has been done …

… study presents a comparative analysis of different ML techniques in terms of accuracy, precision,
recall, and f-score for attack classification… Our comparative analysis can provide insights …

… of models created using classification algorithms and relevant features selected using various
feature selection approaches. For results of the exploratory analysis, ten feature selection …

… stream clustering algorithms. Moreover, we examine seven most recent data stream clustering
algorithms … We make a comparative review of the examined algorithms and highlight their …

… In this paper, we use several common metrics for classification problems to obtain valuable
information about the performance of algorithms and to run a comparative analysis. These …

… efficiency of data mining. Secondly, the data stream classification algorithm is used for
information extraction and classification integration of massive applied mathematical education …

… data mining tasks and techniques. Further, various real-life applications of data mining are
… The challenges and issues in area of data mining research are also presented in this paper. …

… As this study is about the comparison of machine learning techniques to identify the best
one algorithm out of four ML algorithm. However, the experimental result shows that Naive …