Titlebook: New Frontiers in Mining Complex Patterns; 4th International Wo Michelangelo Ceci,Corrado Loglisci,Zbigniew W. Ras Conference proceedings 20

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圍裙

Reservation

Frequent Itemsets Mining in Data Streams Using Reconfigurable Hardware approaches for Data Mining cannot be used straightforwardly in data stream scenario. This paper introduces a single-pass hardware-based algorithm for frequent itemsets mining on data streams that uses the top-k frequent 1-itemsets. Experimental results of the hardware implementation of the proposed

gentle

撫慰

FLIT

加劇

The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data the most accurate among them. In this paper, we experimentally study its properties that may influence its good performance. Results of experiments show that it can be constructed with a small number of component classifiers. However, they are less diversified than components of the standard baggin

apiary

Classifying Traces of Event Logs on the Basis of Security Riskse basis of some (possibly incomplete) knowledge of the process structures and of the patterns representing unsecure behaviors, we classify each trace as instance of some process and/or as potential security breach. This classification is addressed in the challenging setting where each event has not

lattice

意見(jiàn)一致