51 citations · 85 across the 7 of their papers we have counts for
8 papers
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information
Ben Halstead, Yun Sing Koh, Patricia Riddle +3
Streaming sources of data are becoming more common as the ability to collect data in real-time grows. A major concern in dealing with data streams is concept drift, a change in the…
Data stream mining for predicting software build outcomes using source code metrics
Jacqui Finlay, Russel Pears, Andy M. Connor
Software development projects involve the use of a wide range of tools to produce a software artifact. Software repositories such as source control systems have become a focus for…
Use of Ensembles of Fourier Spectra in Capturing Recurrent Concepts in Data Streams
Sripirakas Sakthithasan, Russel Pears, Albert Bifet +1
In this research, we apply ensembles of Fourier encoded spectra to capture and mine recurring concepts in a data stream environment. Previous research showed that compact versions…
Mining developer communication data streams
Andy M. Connor, Jacqui Finlay, Russel Pears
This paper explores the concepts of modelling a software development project as a process that results in the creation of a continuous stream of data. In terms of the Jazz reposito…
Improving web search using contextual retrieval
Dilip K. Limbu, Andy M. Connor, Russel Pears +1
Contextual retrieval is a critical technique for today's search engines in terms of facilitating queries and returning relevant information. This paper reports on the development a…
Mining Software Metrics from Jazz
Jacqui Finlay, Andy M. Connor, Russel Pears
In this paper, we describe the extraction of source code metrics from the Jazz repository and the application of data mining techniques to identify the most useful of those metrics…
Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes
Russel Pears, Jacqui Finlay, Andy M. Connor
In this research we use a data stream approach to mining data and construct Decision Tree models that predict software build outcomes in terms of software metrics that are derived…
Mining Recurrent Concepts in Data Streams using the Discrete Fourier Transform
Sakthithasan Sripirakas, Russel Pears
In this research we address the problem of capturing recurring concepts in a data stream environment. Recurrence capture enables the re-use of previously learned classifiers withou…