title: A survey on feature drift adaptation: Definition, benchmark, challenges and future directions

authors: Barddal, Jean Paul

subjects: Science & Technology

abstract: Data stream mining is a fast growing research topic due to the ubiquity of data in several real-world problems. Given their ephemeral nature, data stream sources are expected to undergo changes in data distribution, a phenomenon called concept drift. This paper focuses on one specific type of drift that has not yet been thoroughly studied, namely feature drift. Feature drift occurs whenever a subset of features becomes, or ceases to be, relevant to the learning task; thus, learners must detect and adapt to these changes accordingly. We survey existing work on feature drift adaptation with both explicit and implicit approaches. Additionally, we benchmark several algorithms and a naive feature drift detection approach using synthetic and real-world datasets. The results from our experiments indicate the need for future research in this area as even naive approaches produced gains in accuracy while reducing resources usage. Finally, we state current research topics, challenges and future directions for feature drift adaptation.

text: A survey on feature drift adaptation: Definition, benchmark, challenges and future directions Data stream mining is a fast growing research topic due to the ubiquity of data in several real-world problems. Given their ephemeral nature, data stream sources are expected to undergo changes in data distribution, a phenomenon called concept drift. This paper focuses on one specific type of drift that has not yet been thoroughly studied, namely feature drift. Feature drift occurs whenever a subset of features becomes, or ceases to be, relevant to the learning task; thus, learners must detect and adapt to these changes accordingly. We survey existing work on feature drift adaptation with both explicit and implicit approaches. Additionally, we benchmark several algorithms and a naive feature drift detection approach using synthetic and real-world datasets. The results from our experiments indicate the need for future research in this area as even naive approaches produced gains in accuracy while reducing resources usage. Finally, we state current research topics, challenges and future directions for feature drift adaptation.

year: 2017

title: Virtual bioprocess simulation laboratory for teaching and learning

authors: Berenjian, Aydin

abstract: There is great potential in applying virtual technology to support teaching and learning. A 3D virtual bioprocess simulation will enable users to learn about both basics of laboratory safety and fermentation principles. Once procedures and exercises within the simulator have been carried out, users will have a deeper understanding about fermentation principles, common lab procedures, experiment design and analysis of data. This software would be an efficient, low-cost option to educators and students within fields such as Biotechnology, Biology, Biochemical Engineering, Biochemistry, Genetics, Microbiology and more.

text: Virtual bioprocess simulation laboratory for teaching and learning There is great potential in applying virtual technology to support teaching and learning. A 3D virtual bioprocess simulation will enable users to learn about both basics of laboratory safety and fermentation principles. Once procedures and exercises within the simulator have been carried out, users will have a deeper understanding about fermentation principles, common lab procedures, experiment design and analysis of data. This software would be an efficient, low-cost option to educators and students within fields such as Biotechnology, Biology, Biochemical Engineering, Biochemistry, Genetics, Microbiology and more.

year: 2018

title: Diversity in Aotearoa New Zealand picturebooks published between 2021 and 2022

authors: Daly, Nicola

subjects: Design

abstract: It is widely accepted that diversity in the literature read by and with children is of great importance, both for ensuring all children see themselves in the stories they share and in ensuring children are aware of lives and experiences outside their own. There is a growing body of international literature critically exploring the diversity present in English-language children’s literature, but to date very little analysing diversity in Aotearoa New Zealand. This study examines 90 picturebooks published between 2021 and 2022 in terms of representations of ethnicity, skin colour, gender, disability, family structures, and language use. Findings indicate similar representations of gender, disability, and family structure to those found internationally but higher representation in relation to the ethnicity and skin colour of primary and secondary characters. New findings in relation to language use are presented. Future research concerning the details of representation in picturebooks and other formats of children’s literature in Aotearoa New Zealand is called for.

text: Diversity in Aotearoa New Zealand picturebooks published between 2021 and 2022 It is widely accepted that diversity in the literature read by and with children is of great importance, both for ensuring all children see themselves in the stories they share and in ensuring children are aware of lives and experiences outside their own. There is a growing body of international literature critically exploring the diversity present in English-language children’s literature, but to date very little analysing diversity in Aotearoa New Zealand. This study examines 90 picturebooks published between 2021 and 2022 in terms of representations of ethnicity, skin colour, gender, disability, family structures, and language use. Findings indicate similar representations of gender, disability, and family structure to those found internationally but higher representation in relation to the ethnicity and skin colour of primary and secondary characters. New findings in relation to language use are presented. Future research concerning the details of representation in picturebooks and other formats of children’s literature in Aotearoa New Zealand is called for.

year: 2025