title: Recurrent concept drifts on data streams

authors: Gunasekara, N

subjects: computer science

abstract: In an era where machine learning permeates every facet of human existence, and data evolves incessantly, the application of machine learning models transcends mere data processing. It involves navigating constant changes exemplified by the phenomenon of concept drift, which often affects model performance. These drifts can be recurrent due to the cyclic nature of the underlying data generation processes, which could be influenced by recurrent phenomena such as weather and time of the day. Stream Learning on data streams with recurrent concept drifts attempts to learn from such streams of data. The survey underscores the significance of the field and its practical applications, delving into nuanced definitions of machine learning for data streams afflicted by recurrent concept drifts. It explores diverse methodological approaches, elucidating their key design components. Additionally, it examines various evaluation techniques, benchmark datasets, and available software tailored for simulating and analysing data streams with recurrent concept drifts. Concluding, the survey offers insights into potential avenues for future research in the field.

text: Recurrent concept drifts on data streams In an era where machine learning permeates every facet of human existence, and data evolves incessantly, the application of machine learning models transcends mere data processing. It involves navigating constant changes exemplified by the phenomenon of concept drift, which often affects model performance. These drifts can be recurrent due to the cyclic nature of the underlying data generation processes, which could be influenced by recurrent phenomena such as weather and time of the day. Stream Learning on data streams with recurrent concept drifts attempts to learn from such streams of data. The survey underscores the significance of the field and its practical applications, delving into nuanced definitions of machine learning for data streams afflicted by recurrent concept drifts. It explores diverse methodological approaches, elucidating their key design components. Additionally, it examines various evaluation techniques, benchmark datasets, and available software tailored for simulating and analysing data streams with recurrent concept drifts. Concluding, the survey offers insights into potential avenues for future research in the field.

year: 2024

title: The distribution of leadership as an influence on the implementation of a national policy initiative: the example of the Laptops for Teachers scheme

authors: Cowie, Bronwen

subjects: leadership

abstract: Research on the nature of and support for systemic sustainable innovation with ICT is converging with research on policy implementation and studies of school change and improvement to highlight the complex interplay of personal and contextual factors that enable and constrain innovation. In each of these fields, leadership has been found to play a crucial role in initiating and sustaining change and innovation. This leadership is not however the prerogative of any one individual but rather it is distributed over people at all levels of the system and across policies, practices and material resources. Leadership for innovation around and with ICT technologies is also distributed across time because of its substantial financial and knowledge implications. In this article, we illustrate the distributed nature of the leadership that supported teachers and schools to make use of teacher personal laptops accessed through the New Zealand government Laptops for Teachers scheme.

text: The distribution of leadership as an influence on the implementation of a national policy initiative: the example of the Laptops for Teachers scheme Research on the nature of and support for systemic sustainable innovation with ICT is converging with research on policy implementation and studies of school change and improvement to highlight the complex interplay of personal and contextual factors that enable and constrain innovation. In each of these fields, leadership has been found to play a crucial role in initiating and sustaining change and innovation. This leadership is not however the prerogative of any one individual but rather it is distributed over people at all levels of the system and across policies, practices and material resources. Leadership for innovation around and with ICT technologies is also distributed across time because of its substantial financial and knowledge implications. In this article, we illustrate the distributed nature of the leadership that supported teachers and schools to make use of teacher personal laptops accessed through the New Zealand government Laptops for Teachers scheme.

year: 2011

title: Protecting Māori data: Can a Privacy Code of Practice provide a partial solution?

authors: Watts, David

abstract: This paper explores whether a Māori Data Privacy Code, developed under the Privacy Act 2020, could provide additional protection for classes of information that are regarded by Māori as tapu. The Act already covers the personal information of Māori individuals in the same way it does any other individual. We argue that a MDP Code could offer additional protection for particular classes of sensitive personal information – specifically whakapapa data and data pertaining to deceased Māori. A MDP Code could restrict the purposes for which such information can be collected, used, disclosed, retained, stored and disposed of; put stronger requirements on agencies to demonstrate that their collection and use of this information is justified; require free, prior and informed consent for its use and disclosure; and provide for greater transparency and independent Māori oversight.

text: Protecting Māori data: Can a Privacy Code of Practice provide a partial solution? This paper explores whether a Māori Data Privacy Code, developed under the Privacy Act 2020, could provide additional protection for classes of information that are regarded by Māori as tapu. The Act already covers the personal information of Māori individuals in the same way it does any other individual. We argue that a MDP Code could offer additional protection for particular classes of sensitive personal information – specifically whakapapa data and data pertaining to deceased Māori. A MDP Code could restrict the purposes for which such information can be collected, used, disclosed, retained, stored and disposed of; put stronger requirements on agencies to demonstrate that their collection and use of this information is justified; require free, prior and informed consent for its use and disclosure; and provide for greater transparency and independent Māori oversight.

year: 2025-10