Ensemble pruning is the process of selecting a subset of component classifiers from an
ensemble which performs at least as well as the original ensemble while reducing storage …

When trying to make predictions on real-time data that changes overtime and can be
influenced by outside factors measures have to be taken in order to identify these changes …

Credit Rating is the valuation of the credit worthiness of the borrowing entity, which gives an
indication of the borrower's current credit position and the probability of default. A credit …

Data stream is the huge amount of non-stop and high-speed data generated in various
fields, including financial processes, social media activities, Internet of Things applications …

(Mestrado em Engenharia Eletrônica)–Faculdade de Engenharia, Universidade do Estado
do Rio de Janeiro, Rio de Janeiro, 2018. A extração de dados em ambientes não …

Data mutates dynamically, and these transmutations are so diverse that it affects the quality
and reliability of the model. Concept Drift is the quandary of such dynamic cognitions and …

The variations of concept in unceasingly evolving data streams is defined as concept drift. It
is needed to address the problems raised due to concept drifts and to adapt the concept drift …

Current research in data mining concentrates on the development of new techniques for
mining high-speed data streams. The fundamental data generation mechanism changes …

論文抄録 教師なし異常検知は, モデルの学習時に異常データを必要としない異常検知手法であり,
近年 Backpropagation 法を用いたニューラルネットワーク (以降, BP-NN と表記) …