title: Batch-Incremental Learning for Mining Data Streams

authors: Holmes, Geoffrey

subjects: computer science

abstract: The data stream model for data mining places harsh restrictions on a learning algorithm. First, a model must be induced incrementally. Second, processing time for instances must keep up with their speed of arrival. Third, a model may only use a constant amount of memory, and must be ready for prediction at any point in time. We attempt to overcome these restrictions by presenting a data stream classification algorithm where the data is split into a stream of disjoint batches. Single batches of data can be processed one after the other by any standard non-incremental learning algorithm. Our approach uses ensembles of decision trees. These tree ensembles are iteratively merged into a single interpretable model of constant maximal size. Using benchmark datasets the algorithm is evaluated for accuracy against state-of-the-art algorithms that make use of the entire dataset.

text: Batch-Incremental Learning for Mining Data Streams The data stream model for data mining places harsh restrictions on a learning algorithm. First, a model must be induced incrementally. Second, processing time for instances must keep up with their speed of arrival. Third, a model may only use a constant amount of memory, and must be ready for prediction at any point in time. We attempt to overcome these restrictions by presenting a data stream classification algorithm where the data is split into a stream of disjoint batches. Single batches of data can be processed one after the other by any standard non-incremental learning algorithm. Our approach uses ensembles of decision trees. These tree ensembles are iteratively merged into a single interpretable model of constant maximal size. Using benchmark datasets the algorithm is evaluated for accuracy against state-of-the-art algorithms that make use of the entire dataset.

year: 2004

title: Complete genome sequence of a New Zealand Mycobacterium tuberculosis strain responsible for ongoing transmission over the past 30 years.

authors: Mulholland, Claire V.

abstract: We report here the complete genome sequence of Mycobacterium tuberculosis strain Colonial S-type 1 (CS1), which has been responsible for ongoing outbreaks of tuberculosis in New Zealand over the past 30 years. CS1 appears to be highly transmissible, with greater rates of progression to active disease, compared to other circulating M. tuberculosis strains; therefore, comparison of its genomic content is of interest.

text: Complete genome sequence of a New Zealand Mycobacterium tuberculosis strain responsible for ongoing transmission over the past 30 years. We report here the complete genome sequence of Mycobacterium tuberculosis strain Colonial S-type 1 (CS1), which has been responsible for ongoing outbreaks of tuberculosis in New Zealand over the past 30 years. CS1 appears to be highly transmissible, with greater rates of progression to active disease, compared to other circulating M. tuberculosis strains; therefore, comparison of its genomic content is of interest.

year: 2022

title: He reo amiorangi

authors: Roa, Tom

subjects: Māori language

abstract: This paper discusses a project involving the translation of a learning management system (LMS), Modular Object-Oriented Dynamic Learning Environment (Moodle), into te reo Māori so that users of this LMS, learners, teachers and administrators who have a high level of competence in the language, can work within a fully Māori environment. Aspects of the project referred to here include adaptation of the style guide created by Te Taura Whiri for the Microsoft project, use of the Microsoft translation guidelines, the philosophy guiding the translation and the translation process itself (with examples). The process by which the project was evaluated is also discussed.

text: He reo amiorangi This paper discusses a project involving the translation of a learning management system (LMS), Modular Object-Oriented Dynamic Learning Environment (Moodle), into te reo Māori so that users of this LMS, learners, teachers and administrators who have a high level of competence in the language, can work within a fully Māori environment. Aspects of the project referred to here include adaptation of the style guide created by Te Taura Whiri for the Microsoft project, use of the Microsoft translation guidelines, the philosophy guiding the translation and the translation process itself (with examples). The process by which the project was evaluated is also discussed.

year: 2006