title: The death of Private Leonard Manning

authors: Smith, Ron C.

subjects: Leonard Manning

abstract: New Zealand Army Private, Leonard Manning, was killed in an ambush in East Timor in July 2000.  The circumstances of his killing and the military context in which it occurred, raised many questions at the time and many of these remain unresolved.  This report brings together what was known, as of the middle of 2005, expanding on articles published by the author in the New Zealand International Review, in 2001 and 2005.

text: The death of Private Leonard Manning New Zealand Army Private, Leonard Manning, was killed in an ambush in East Timor in July 2000.  The circumstances of his killing and the military context in which it occurred, raised many questions at the time and many of these remain unresolved.  This report brings together what was known, as of the middle of 2005, expanding on articles published by the author in the New Zealand International Review, in 2001 and 2005.

year: 2005-06

title: Change detection in categorical evolving data streams

authors: Ienco, Dino

subjects: categorical data

abstract: Detecting change in evolving data streams is a central issue for accurate adaptive learning. In real world applications, data streams have categorical features, and changes induced in the data distribution of these categorical features have not been considered extensively so far. Previous work on change detection focused on detecting changes in the accuracy of the learners, but without considering changes in the data distribution.

To cope with these issues, we propose a new unsupervised change detection method, called CDCStream (Change Detection in Categorical Data Streams), well suited for categorical data streams. The proposed method is able to detect changes in a batch incremental scenario. It is based on the two following characteristics: (i) a summarization strategy is proposed to compress the actual batch by extracting a descriptive summary and (ii) a new segmentation algorithm is proposed to highlight changes and issue warnings for a data stream. To evaluate our proposal we employ it in a learning task over real world data and we compare its results with state of the art methods. We also report qualitative evaluation in order to show the behavior of CDCStream.

text: Change detection in categorical evolving data streams Detecting change in evolving data streams is a central issue for accurate adaptive learning. In real world applications, data streams have categorical features, and changes induced in the data distribution of these categorical features have not been considered extensively so far. Previous work on change detection focused on detecting changes in the accuracy of the learners, but without considering changes in the data distribution.

To cope with these issues, we propose a new unsupervised change detection method, called CDCStream (Change Detection in Categorical Data Streams), well suited for categorical data streams. The proposed method is able to detect changes in a batch incremental scenario. It is based on the two following characteristics: (i) a summarization strategy is proposed to compress the actual batch by extracting a descriptive summary and (ii) a new segmentation algorithm is proposed to highlight changes and issue warnings for a data stream. To evaluate our proposal we employ it in a learning task over real world data and we compare its results with state of the art methods. We also report qualitative evaluation in order to show the behavior of CDCStream.

year: 2014

title: Education for sustainability in New Zealand schools: An evaluation of three professional development programmes

authors: Eames, Chris W.

subjects: Education for Sustainability

abstract: This Summary Report summarises an evaluation of three Education for Sustainability (EfS) professional development programmes being funded by the Ministry of Education: the Enviroschools Programme, the National EfS (NEfS) Team and Mātauranga Taiao. It is supported by a more extensive Overview Report (Part One in Related Pages) on the evaluation of these three initiatives and an individual report on each initiative (Parts Two-Four in Related Pages).

text: Education for sustainability in New Zealand schools: An evaluation of three professional development programmes This Summary Report summarises an evaluation of three Education for Sustainability (EfS) professional development programmes being funded by the Ministry of Education: the Enviroschools Programme, the National EfS (NEfS) Team and Mātauranga Taiao. It is supported by a more extensive Overview Report (Part One in Related Pages) on the evaluation of these three initiatives and an individual report on each initiative (Parts Two-Four in Related Pages).

year: 2010