Russel Pears

Publications by Year

Research Areas

Data Mining Algorithms and Applications, Data Stream Mining Techniques, Time Series Analysis and Forecasting, Rough Sets and Fuzzy Logic, Imbalanced Data Classification Techniques

Most-Cited Works

• → Detecting concept change in dynamic data streams(2014)102 cited
• → A smart system for short-term price prediction using time series models(2019)92 cited
• → Detecting Volatility Shift in Data Streams(2014)74 cited
• → Data stream mining for predicting software build outcomes using source code metrics(2013)51 cited
• → Weighted association rule mining via a graph based connectivity model(2012)48 cited
• → Use of Hoeffding trees in concept based data stream mining(2007)35 cited
• → Contextual relevance feedback in web information retrieval(2006)34 cited
• → One Pass Concept Change Detection for Data Streams(2013)31 cited
• → Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining(2020)28 cited
• → Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes(2014)25 cited