title: Benchmarking attribute selection techniques for discrete class data mining

authors: Hall, Mark A.

subjects: computer science

abstract: Data engineering is generally considered to be a central issue in the development of data mining applications.  The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable identification of a small set of highly predictive attributes.  The inclusion of irrelevant, redundant and noisy attributes in the model building process phase can result in poor predictive performance and increased computation. 
Attribute selection generally involves a combination of search and attribute utility estimation plus evaluation with respect to specific learning schemes.  This leads to a large number of possible permutation and has led to a situation where very few benchmark studies have been conducted.
This paper presents a benchmark comparison of several attribute selection methods for supervised classification.  All the methods produce an attribute ranking, a useful devise for isolating the individual merit of an attribute. Attribute selection is achieved by cross-validating the attribute rankings with respect to a classification learner to find the best attributes.  Results are reported for a selection of standard data sets and two diverse learning schemes C4.5 and naïve Bayes.

text: Benchmarking attribute selection techniques for discrete class data mining Data engineering is generally considered to be a central issue in the development of data mining applications.  The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable identification of a small set of highly predictive attributes.  The inclusion of irrelevant, redundant and noisy attributes in the model building process phase can result in poor predictive performance and increased computation. 
Attribute selection generally involves a combination of search and attribute utility estimation plus evaluation with respect to specific learning schemes.  This leads to a large number of possible permutation and has led to a situation where very few benchmark studies have been conducted.
This paper presents a benchmark comparison of several attribute selection methods for supervised classification.  All the methods produce an attribute ranking, a useful devise for isolating the individual merit of an attribute. Attribute selection is achieved by cross-validating the attribute rankings with respect to a classification learner to find the best attributes.  Results are reported for a selection of standard data sets and two diverse learning schemes C4.5 and naïve Bayes.

year: 2002-04

title: Kelvin-Helmholtz instability in aluminium reduction cells

authors: Shin, Sung Nam

abstract: In aluminium reduction cells the intense magnetic fields and associated Lorentz forces drive steady flows in the cryolite and aluminium layers. Generally there is a discontinuity in velocity between the layers, which gives rise to a Kelvin-Helmholtz instability, and the study of this effect is the subject of the thesis. 

The role of the basic steady flow is focused in this analysis, while most previous MHD analyses neglect it and emphasise on the interaction between the interface wave and the electromagnetic field by the electromagnetic perturbation. The stationary magnetic field is considered important as a strong driving source for the steady velocity in our model. 

Steady velocity fields are studied in terms of a stream function and global stability criteria are discussed with disturbances. Non-linear evolution of flow is investigated to find a steady condition and show that steady flows are stable. A normal mode analysis is used to formulate wave evolution equations, which are integrated forwards in time. 

Also an improved treatment of electromagnetic damping is developed, which includes the effect of the induced electric field. 

Using a normal mode form of the steady-state current, magnetic field or flow, the scheme developed in this research is suitable for industrial application where these would be calculated numerically.

text: Kelvin-Helmholtz instability in aluminium reduction cells In aluminium reduction cells the intense magnetic fields and associated Lorentz forces drive steady flows in the cryolite and aluminium layers. Generally there is a discontinuity in velocity between the layers, which gives rise to a Kelvin-Helmholtz instability, and the study of this effect is the subject of the thesis. 

The role of the basic steady flow is focused in this analysis, while most previous MHD analyses neglect it and emphasise on the interaction between the interface wave and the electromagnetic field by the electromagnetic perturbation. The stationary magnetic field is considered important as a strong driving source for the steady velocity in our model. 

Steady velocity fields are studied in terms of a stream function and global stability criteria are discussed with disturbances. Non-linear evolution of flow is investigated to find a steady condition and show that steady flows are stable. A normal mode analysis is used to formulate wave evolution equations, which are integrated forwards in time. 

Also an improved treatment of electromagnetic damping is developed, which includes the effect of the induced electric field. 

Using a normal mode form of the steady-state current, magnetic field or flow, the scheme developed in this research is suitable for industrial application where these would be calculated numerically.

year: 2000

title: Indigenous knowledge, methodology and mayhem: What is the role of methodology in producing indigenous insights? A discussion from Mātauranga Māori

authors: Smith, Linda Tuhiwai

abstract: The emergence of an academic discourse called Indigenous knowledge internationally, and mātauranga Māori in Aotearoa New Zealand, presents some substantive challenges to concepts of knowing and being, of knowledge creation, knowledge work and the making of meaning. These challenges engage us across philosophical, disciplinary, institutional, inter-generational, territorial and community boundaries, presenting an opportunity to imagine this field anew, and the theories and methodologies that inform contemporary Māori or Indigenous Studies. This article raises some discussion about ‘research methodologies’ being used when discussing mātauranga Māori and Indigenous knowledge (hereafter referred to as IK mātauranga). Research methodologies are often associated with specific disciplines of knowledge and viewed as the primary if not singular way in which knowledge is generated. Arguably, IK mātauranga occupies a different knowledge space from traditional academic disciplines, including their transdisciplinary interstices. This article speaks to a gnawing sense that mayhem is at play, as the academic work around IK mātauranga begins to consolidate and become institutionalised away from its indigenous communities and contexts, where it began and where it still informs identities, ways of living and being.

text: Indigenous knowledge, methodology and mayhem: What is the role of methodology in producing indigenous insights? A discussion from Mātauranga Māori The emergence of an academic discourse called Indigenous knowledge internationally, and mātauranga Māori in Aotearoa New Zealand, presents some substantive challenges to concepts of knowing and being, of knowledge creation, knowledge work and the making of meaning. These challenges engage us across philosophical, disciplinary, institutional, inter-generational, territorial and community boundaries, presenting an opportunity to imagine this field anew, and the theories and methodologies that inform contemporary Māori or Indigenous Studies. This article raises some discussion about ‘research methodologies’ being used when discussing mātauranga Māori and Indigenous knowledge (hereafter referred to as IK mātauranga). Research methodologies are often associated with specific disciplines of knowledge and viewed as the primary if not singular way in which knowledge is generated. Arguably, IK mātauranga occupies a different knowledge space from traditional academic disciplines, including their transdisciplinary interstices. This article speaks to a gnawing sense that mayhem is at play, as the academic work around IK mātauranga begins to consolidate and become institutionalised away from its indigenous communities and contexts, where it began and where it still informs identities, ways of living and being.

year: 2016