Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases,...
Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule ...
Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving...
Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different su...
Intelligent agents will be the necessity of the coming century. Software agents will pilot us through the vast sea of information, by communicating with other agents. A group of cooperating agents may accomplish a task which cannot be done by any subset of them. This volume consists of selected papers from PRIMA'99, the second Paci c Rim InternationalWorkshop on Multi-Agents, held in Kyoto, Japan, on Dec- ber 2-3, 1999. PRIMA constitutes a series of workshops on autonomous agents and mul- agent systems, integrating the activities in Asia and the Pacic rim countries, such as MACC (Multiagent...
Intelligent agents will be the necessity of the coming century. Software agents will pilot us through the vast sea of information, by communicating wi...
This volume contains revisedversions of selected papers presented at the Fourth Australian Workshop on Distributed Arti?cial Intelligence (DAK 91), together with a set of invited papers. Each paper has been reviewed by at least two program committee members. The workshop was held in Brisbane, Queensland, Australia on July 17,1992. The goalof the workshopwas to promoteresearchin distributed arti?cial intelligence and multi-agent systems, both nationally and internationally. Thepapers covera widerangeofissuesin the?eldof distributed arti?cial intelligence and multi-agent systems, such as...
This volume contains revisedversions of selected papers presented at the Fourth Australian Workshop on Distributed Arti?cial Intelligence (DAK 91), to...
This book constitutes the thoroughly refereed post-workshop proceedings of three workshops held in conjunction with the 10th Australian Joint Conference on Artificial Intelligence in Perth, Australia, in December 1997. The 17 revised full papers presented were carefully reviewed for inclusion in the book. The book is divided into sections on formal methods of agency, reasoning agents, communication and coordination, social interaction, and practical issues for distributed artificial intelligence systems.
This book constitutes the thoroughly refereed post-workshop proceedings of three workshops held in conjunction with the 10th Australian Joint Conferen...
Longbing Cao, Philip S. Yu, Chengqi Zhang, Yanchang Zhao
Data mining has emerged as one of the most active areas in information and c- munication technologies(ICT). With the boomingof the global economy, and ub- uitouscomputingandnetworkingacrosseverysectorand business, data andits deep analysis becomes a particularly important issue for enhancing the soft power of an organization, its production systems, decision-making and performance. The last ten years have seen ever-increasingapplications of data mining in business, gove- ment, social networks and the like. However, a crucial problem that prevents data mining from playing a strategic...
Data mining has emerged as one of the most active areas in information and c- munication technologies(ICT). With the boomingof the global economy, and...