Most users demonstrate regularities in their work with a computer system. Even when a user’s activities are unique, those interactions often exhibit systematic patterns. Accordingly, there has been a range of work developing systems that recognize regularities in computer usage (Cypher 1993; Mitchell et al. 1994; Schlimmer & Hermens 1993). Our current effort is to consider different methods tha...

In ‘Ten Pathways to Death and Disaster’ Professor Michael Quinlan (2014) identified a series of ten common catastrophic incident risk factors, known as the Ten Pathways, contributing major incidents in mining other high hazard industries. This study applies methodology two separate phases. The first phase explored employee perception employer effectiveness fatality prevention against each throu...

An important task of data mining can be thought of as the process of assigning things to predefined categories or classes – a process called Classification. Since the classes are predefined this is also known as Supervised Induction. The input for the classification system consists of a set of example records, called a training set, where each record consists of several fields or attributes. At...

This enlightening book by Sidney J. Blatt, one of the leading psychoanalytic researchers of our time, is highly relevant to investigators and clinicians interested in personality development as well as depression. In Experiences of Depression, Blatt amalgamates nearly 30 years of work. He combines brilliant insights about clinical practice with a broad range of empirical research to enrich our ...

international studies indicate temporary agency workers are more likely to be injured at work than other types of employees. However explanations for this have been less forthcoming. this paper seeks to begin filling this gap. a study was undertaken in Victoria, australia, of occupational health and safety (oHs) amongst temporary agency workers drawing upon workers' compensation claim files for...

A new boosting algorithm of Freund and Schapire is used to improve the performance of decision trees which are constructed usin: the information ratio criterion of Quinlan’s C4.5 algorithm. This boosting algorithm iteratively constructs a series of decision tress, each decision tree being trained and pruned on examples that have been filtered by previously trained trees. Examples that have been...

The Multilevel Load Balancing algorithm (MLB) is a parallel algorithm that determines the communication schedule that is necessary to balance a distributed discrete load function. The MLB algorithm focuses on structured grid computations and their load balancing requirements, which we feel are largely unsupported within the load balancing community. The interface to MLB is inherently simple; a ...

We present an algorithm (BBG) for inductive learning from examples that outputs a rule list. BBG uses a combination of greedy and branch-and-bound techniques, and naturally handles noisy or stochastic learning situations. We also present the results of an empirical study comparing BBG with Quinlan's C4.5 on 1050 synthetic data sets. We nd that BBG greatly outperforms C4.5 on rule-oriented probl...

This article presents an incremental algorithm for inducing decision trees equivalent to those formed by Quinlan’s nonincremental ID3 algorithm, given the same training instances. The new algorithm, named ID5R, lets one apply the ID3 induction process to learning tasks in which training instances are presented serially. Although the basic tree-building algorithms differ only in how the decision...

Discovering not yet seen knowledge from clinical data is of importance in the field of asymptomatic liver diseases. Avoidance of liver biopsy which is used as the ultimate confirmation of diagnosis by making the decision based on relevant laboratory findings only, would be considered an essential support. The system based on Quinlan's JD3 algorithm was simple and efficient in extracting the sou...