Kategoria BISAC: Computers >> Data Science - Data Analytics

This book is part of a three-volume set that constitutes the refereed proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2007. Coverage in this first volume includes artificial neural networks and connectionists systems, fuzzy and neuro-fuzzy systems, evolutionary computation, machine learning and classical AI, agent systems, and information engineering and applications in ubiquitous computing environments.

This book constitutes the proceedings of the 8th International Conference on Web Information Systems Engineering, WISE 2007, held in Nancy, France, in December 2007. The papers are organized in topical sections on querying, trust, caching and distribution, interfaces, events and information filtering, data extraction, transformation, and matching, ontologies, rewriting, routing, and personalisation, agents and mining, QOS and management, modeling, and topics.

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.

Biometric systems are being used in more places and on a larger scale than ever before. As these systems mature, it is vital to ensure the practitioners responsible for development and deployment, have a strong understanding of the fundamentals of tuning biometric systems. The focus of biometric research over the past four decades has typically been on the bottom line: driving down system-wide error rates. In doing so, powerful recognition algorithms have been developed for a number of biometric modalities. These algorithms operate exceedingly well under test conditions.

This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003.

The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.