… the sequence over the data stream, we propose a method called “… reduces the effects of
concept drift in the data stream. FAAD is … rate and speed without being affected by concept drift. …

… the concept drift occurs, this paper uses the ensemble-based … The method based on flow
mining and graph mining … data of the intranet hidden in a large number of data streams. …

… study is presenting a methodology … the impact of FDI on the Dynamics of growth measured
by GDP in the recipient country (Karimi & Yusop, 2009). There are several empirical studies …

… were employed in the empirical analysis. Annual time-series … through diverse econometric
analysis methodologies. Using a … -walk model with drift and trend (“with constant and trend”). …

… method and various tests are employed, such as Unit root test, Co-integration test and
Causality test. The empirical result of this research … root with drift and last unit root with drift and …

… , the concept drift detection algorithm is integrated to accurately identify concept drift, adapt to
the dynamically changing data flow, … methods for complex data streams with concept drift[J]. …

… rebound process by representing both laminar and turbulent flow… The critical aims of mine
water impact studies have been to … both model types and simpler, empirical “design curve” type …

… to provide streaming-related services including data stream … Many of the concepts in theoretical
and empirical finance … ∗ , The solution methods involve basic market parameters, drift 𝜇, …

… Recall the Frey model without the risk-free rate (zero drift) … , the iterative and direct methods
are explored in our study. Jacobi, … Our empirical study is based on call option contract's close …

… drift more often. To solve these problems, information filter system have to adapt … concept
drift of user interests and trains fast enough to deal with the explosion of documents streaming…