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This book constitutes the refereed proceedings of the IEEE International Conference on Intelligence and Security Informatics, ISI 2005, held in Atlanta, GA, USA in May 2005. The 28 revised full papers, 34 revised short papers, and 32 poster abstracts presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on data and text mining, infrastructure protection and emergency response, information management and security education, deception detection and authorship analysis, monitoring and surveillance, and terrorism informatics.
Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.
This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare. This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area. This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.
The development of computational models of design founded on the artificial intelligenceparadigm has provided an impetus for muchofcurrentdesign research. As artificial intelligence has matured and developed new approaches so the impact ofthese new approaches on design research has been felt. This can be seen in the wayconcepts from cognitive science has found theirway into artificial intelligence and hence into design research. And, also in the way in which agent-based systems arebeingincorporated into design systems. In design research there is an increasing blurring between notions drawn from artificial intelligence and those drawn from cognitive science. Whereas a number of years ago the...
This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.
This book constitutes the refereed proceedings of the three confederated conferences CoopIS 2002, DOA 2002, and ODBASE 2002, held in Irvine, CA, USA, in October/November 2002. The 77 revised full papers and 10 posters presented were carefully reviewed and selected from a total of 291 submissions. The papers are organized in topical sections on interoperability, workflow, mobility, agents, peer-to-peer and ubiquitous, work process, business and transaction, infrastructure, query processing, quality issues, agents and middleware, cooperative systems, ORB enhancements, Web services, distributed object scalability and heterogeneity, dependability and security, reflection and reconfiguration, real-time scheduling, component-based applications, ontology languages, conceptual modeling, ontology management, ontology development and engineering, XML and data integration, and tools for the intelligent Web.
This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more.
Whether or not one believes the hyperbolic claims about the Internet being the biggest thing since the invention of the wheel, the Internet is a medium with great consequences for social and economic life. Doing Internet Research is written to help people discern in what ways it has commanded the public imagination, and the methodological issues that arise when one tries to study and understand the social processes occurring within the Internet. Each contributor to the volume offers original responses in the search for, and critique of, methods with which to study the Internet and the social, political, economic, artistic, communicative phenomena occurring within and around it. This book provides encouragement for readers getting started with Internet research and also provides perspective on this new and ubiquitous communication medium.
In today's world of competitive business environment, there is a driving need to extract hidden and potentially meaningful information from large databases for effective decision making. This compact book explores the concept of data mining and discusses various data mining techniques and their applications. It is primarily designed for the students of Computer Science and Engineering, Information Technology, Computer Applications, and Management. Written in a student-friendly style, the book describes the various phases of data mining, architecture of a data mining system, and the types of knowledge that can be mined from databases. It elaborates on different data preprocessing techniques s...
ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. This year, the eighth in the series (PAKDD 2004) was held at Carlton Crest Hotel, Sydney, Australia, 26–28 May 2004. PAKDD is a leading international conference in the area of data mining. It p- vides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. The se...