John Zeleznikow – författare

Alternative dispute resolution has now supplanted litigation as the principal method of dispute resolution. This overview of dispute resolution addresses practical developments in areas such as family law, plea bargaining, industrial relations and torts. The authors elaborate on the necessary legal safeguards that should be taken into account when developing technology-enhanced dispute resolution and explore a wide range of potential applications for new information technologies in dispute resolution.

Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit.  Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.

This book brings together the expertise of two authors involved in initiating the development of Online Family Dispute Resolution (OFDR), while also examining the unique Australian system.

This book brings together the expertise of two authors involved in initiating the development of Online Family Dispute Resolution (OFDR), while also examining the unique Australian system.

Traditional database systems have been able to manipulate large amounts of data efficiently, whilst artificial intelligence (and in particular expert systems) have reasoned with rules, but rarely with data. It has become evident that to build truly intelligent information systems, facilities are required technologies. This book consists of seventeen selected and revised papers on the next generation of information systems, based on papers presented at two workshops, one on integrating artificial intelligence and databases, and the other on intelligent and co-operating information systems. The papers address several core issues, such as intelligence, distribution, and multi-agent/co-operative systems, and focuses on designing and building such systems mainly through the use of intelligent agents. The book presents up-to-date developments in this interdisciplinary field, covering information systems, artificial intelligence, and distributed systems.

Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit.  Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.

The proceedings is the record of the first Australian Database Reseach Conference. The prime aim of this conference was to bring together various researchers in Australia and other countries to share their research and experiences in the area of databases.

These proceedings record the research and experiences of various researchers from Australia and other countries in databases and information systems. The papers were selected based on their originality, content, relevance and style. Topics discussed include advanced database applications; information analysis and data modelling; object-oriented DBMS; distributed, heterogeneous and parallel database systems; information resource planning and management; etc.