Characteristics and underpricing of Australian mining and energy IPOs from 1994 to 2001

This paper follows How (2000) who examined 130 Australian mining and energy initial public offerings (IPOs) from 1979 to 1990 to report an average 107.18 % underpricing return by those IPOs. This study updates that report by investigating 127 Australian mining and energy IPOs from 1994 to 2001 to find a substantially lower 17.93 % average first day return. These updated findings have implications for both new companies seeking to float and also for the subscribers wishing to invest in these new listings.

The right to own : internationalization of perspectives of plagiarism and the internet

Cultural diversity in tertiary classrooms is integral to the current university scene. Teachers must incorporate different methods of delivery and
assessment to cater for an increasingly international student population. This paper explores the notion of plagiarism from two perspectives: the law
and English as a Second Language (ESL) writing theory.

Stakeholder and gender characteristics of mining and energy IPO boards of directors

The mining and energy sectors are particularly publicly sensitive sectors and subject to a high degree of public scrutiny. Evan and Freeman (1993) suggest that such public scrutiny needs may be better met by having direct public stakeholder representation on the board of directors. Similarly, Bilimoria (2000) argues a strong commercial case for engaging women on boards. This paper investigates the number and proportion of non equity holding public stakeholder directors and the number and proportion of women directors on the boards of Australian mining and energy company initial public offerings (IPOs) and reports a paucity of public stakeholder directors and also a low proportional female representation on such IPO boards.

Reducing performance bias for unbalanced text mining

In text categorization applications, class imbalance, which refers to an uneven data distribution where one class is represented by far more less instances than the others, is a commonly encountered problem. In such a situation, conventional classifiers tend to have a strong performance bias, which results in high accuracy rate on the majority class but very low rate on the minorities. An extreme strategy for unbalanced, learning is to discard the majority instances and apply one-class classification to the minority class. However, this could easily cause another type of bias, which increases the accuracy rate on minorities by sacrificing the majorities. This paper aims to investigate approaches that reduce these two types of performance bias and improve the reliability of discovered classification rules. Experimental results show that the inexact field learning method and parameter optimized one-class classifiers achieve more balanced performance than the standard approaches.

If the price is right : vagueness and values clarification in contingent valuation

The use of willingness to pay to value the benefits of health care is increasing. Much of this work assumes that health preferences are well formed or complete and readily revealed if the right question is asked in the right way. We examined this assumption, seeking evidence in a mixed-methods study that explored the meaning and implications of vague responses to a payment-scale based willingness to pay exercise.

One-half of the sample said that their vagueness meant that their maximum willingness to pay was actually greater than the amount that they had previously said it was. Thirty percent agreed that they would probably pay £10 more than a sum that they had previously said they would most definitely not pay, if they found this to be the cost of the vaccine. Interview data supported the view that the payment scale had failed to elicit the maximum willingness to pay and that some participants used the information on cost to help clarify their values, in contrast to the theory underpinning willingness to pay. The results suggest a need to consider values-clarification in health economic evaluations. Copyright © 2002 John Wiley & Sons, Ltd.

The right tool for the job? Use of the multiple intelligences and Bloom's taxonomy grid

This article explores the tacit understanding of teachers in the field of gifted educational practices after their participation in gifted education professional development. The data for this article are drawn from a single-case qualitative study where semi-structured interviews were held with teachers, administrators and support staff in a metropolitan Victorian primary school. The findings lead to two main arguments: first, that some teachers preserved their deeply entrenched beliefs and assumptions about the gifted, the talented and intelligence[s]; and second, that teachers, without critical examination, eagerly adopted and adapted Gardner's Multiple Intelligences theory, overlaid with Bloom's Revised Taxonomy of Thinking as a means for addressing individual differences in the classroom. The article argues that teachers welcomed the Gardner/Bloom matrix for its 'tick-the-box' simplicity, with little insight into the theoretical models. Whilst the matrix had an immediate value in the mixed ability classrooms, in the long term it did not support the learning needs of gifted students. [Author abstract]

Adaptive spike detection for resilient data stream mining

Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adaptive spike detection is attribute ranking and selection without class-labels. The first part of adaptive spike detection requires weighing all attributes for spiky-ness to rank them. The second part involves filtering some attributes with extreme weights to choose the best ones for computing each example’s suspicion score. Within an identity crime detection domain, adaptive spike detection is validated on a few million real credit applications with adversarial activity. The results are F-measure curves on eleven experiments and relative weights discussion on the best experiment. The results reinforce adaptive spike detection’s effectiveness for class-label-free attribute ranking and selection.

Monitoring employees emails without violating their privacy right

The capability of an employee to violate the policy of an organization is a concern for an employer. Monitoring is a measure taken by an employer to discourage an employee from acting inappropriately. However, current monitoring techniques tend to raise privacy issues because they violate the privacy rights of employees. Applying a monitoring technique without violating the privacy of employees is the aim of this paper. We propose a design and a protocol which give an employer the opportunity to monitor employee email in order to detect company policy violations. This can be achieved without violating the privacy of honest employees, while at the same time revealing evidence about the illegal actions of dishonest employees.

Re Kevin : gender dysphoria and the right to marry

What does it comfort any of us to insist that an individual shall be a man, when for the purposes of ordinary life that individual can only be, and be recognised, as a woman? What pride can there be for a law which vetoes the attitudes dictated by ordinary humanity?[1]

Those suffering from gender dysphoria have been described in the following simple language:

People with gender dysphoria or gender identity disorder live with a conviction that their physical anatomy is incompatible with their true gender role. They have an overwhelming desire to live and function in the opposite biological sex.

Why wrongful birth actions are right

A wrongful birth action is a claim in negligence brought by parents of a child against a doctor who has "wrongfully" caused their child to be born. These claims can be divided into two categories: those where a doctor performs a failed sterilisation procedure that leads to a healthy child being born; and those where a doctor fails to provide sufficient information to allow parents to choose to abort a handicapped child. The recent decision of the High Court of Australia in Cattanach v Melchior (2003) 77 ALJR 1312 falls into the former category. The decision to allow the parents to receive damages for the costs of raising and maintaining their child has generated much public debate. Despite the endorsement of this "wrongful birth" action, there are indications that the legislature will overturn the decision. This article examines whether there is a sound doctrinal basis for recognising wrongful birth actions.

Mining inconsistent secure messages toward analyzing security protocols

Traditional approaches such as theorem proving and model checking have been successfully used to analyze security protocols. Ideally, they assume the data communication is reliable and require the user to predetermine authentication goals. However, missing and inconsistent data have been greatly ignored, and the increasingly complicated security protocol makes it difficult to predefine such goals. This paper presents a novel approach to analyze security protocols using association rule mining. It is able to not only validate the reliability of transactions but also discover potential correlations between secure messages. The algorithm and experiment demonstrate that our approaches are useful and promising.

Agents and data mining: mutual enhancement by integration

This paper tells a story of synergism of two cutting edge technologies — agents and data mining. By integrating these two technologies, the power for each of them is enhanced. Integrating agents into data mining systems, or constructing data mining systems from agent perspectives, the flexibility of data mining systems can be greatly improved. New data mining techniques can add to the systems dynamically in the form of agents, while the out-of-date ones can also be deleted from systems at run-time. Equipping agents with data mining capabilities, the agents are much smarter and more adaptable. In this way, the performance of these agent systems can be improved. A new way to integrate these two techniques –ontology-based integration is also discussed. Case studies will be given to demonstrate such mutual enhancement.