Automatic pattern-taxonomy extraction for web mining

In this paper, we propose a model for discovering frequent sequential patterns, phrases, which can be used as profile descriptors of documents. It is indubitable that we can obtain numerous phrases using data mining algorithms. However, it is difficult to use these phrases effectively for answering what users want. Therefore, we present a pattern taxonomy extraction model which performs the task of extracting descriptive frequent sequential patterns by pruning the meaningless ones. The model then is extended and tested by applying it to the information filtering system. The results of the experiment show that pattern-based methods outperform the keyword-based methods. The results also indicate that removal of meaningless patterns not only reduces the cost of computation but also improves the effectiveness of the system.

Using job strain and psychological contract theories to predict employee wellbeing in a reformed public sector agency

This study investigates the Issues that contribute to employee wellbeing in a public sector agency having undergone substantial reform The research is based on a model that is initially demand-oriented, and is expanded to incorporate psychological contract breach and organisational justice. Hierarchical regression analyses were conducted on the 1,010 completed surveys The results confirm the value of the Job strain model (JSM) and that the inclusion of breach and fairness were worthwhile extensions of the JSM Future research may wish to extend this approach and incorporate more of the social aspects of the work situation m studies of employee wellbeing.

Safely delegating data mining tasks

Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the in-house expertise and infrastructure for data mining, it is beneficial to delegate data mining tasks to external service providers. However, the organizations or divisions may lose of private information during the delegating process. In this paper, we present a Bloom filter based solution to enable organizations or their divisions to delegate the tasks of mining association rules while protecting data privacy. Our approach can achieve high precision in data mining by only trading-off storage requirements, instead of by trading-off the level of privacy preserving.

Contract Law

Each title in the Butterworths Casebook Companions series provides a basic coverage of the principles of that area of law. Students are then directed to read specific cases and materials and are provided with pertinent questions designed to enhance their knowledge and understanding and ensure that they can apply the principles. Charts, diagrams and suggested tasks are included where appropriate to encourage active participation and learning and further explain and simplify material. Contract Law is designed for students who have no previous knowledge of contract law. The book covers all aspects of contract law, including: the nature and development of contract law; agreement; consideration; intention to create legal relations; capacities and formalities; terms and their construction; matters rendering a contract void, voidable or unenforceable; performance and termination; remedies; and solving contract problems. Preface Glossary of terms Table of cases Table of statutes Part 1 — Introduction Part 2 — Formation Part 3 — Scope and content Part 4 — Destruction Part 5 — Performance and termination Part 6 — RemediesIndex

Contract law : commentaries, cases and perspectives

Introduces students to the fundamental principles, theories and arguments in Contract Law. Provides a carefully selected collection of cases, statutes and materials with insightful commentary.

The underpricing of gold mining initial public offerings

This study is motivated by How [How, J., 2000. The initial and long run performances of mining IPOs in Australia. Aust. J. Manage. 25, 95–118] who examined 100 Australian gold mining initial public offerings (IPOs) from 1979 to 1990 to report an average 119.51% underpricing return by those IPOs. This study updates that analysis by investigating 114 Australian gold mining IPOs from 1994 to 2004 and finds a significantly lower 13.3% average first day return. Options offered to underwriters can in part explain these returns as can the change in either the Gold Index or the All Ordinaries Index from the date of the prospectus to the date of listing.