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2 produkter
2 produkter
1 741 kr
Skickas inom 11-20 vardagar
The expected future evolution of mobile and wireless communication technologies will enable a whole new generation of mass-market-scale ubiquitous services and applications. The challenge now is to research and develop applications and services addressing the true needs of the end-users, and to provide engaging and sustaining added value to them. Enabling Technologies for Mobile Services takes a comprehensive approach on these challenges and provides practical guidelines on building new, innovative applications and services. It shares knowledge gained from a collaborative research project where the methods and technologies were applied and utilised.This book is ideal for professionals working with enabling technologies and service architecture in companies. It will also be of interest to academics and students studying applications/services, enabling technologies and service architectures at the universities and to anyone interested in the general issues surrounding mobile technology. Key features: Covers key topics in the B3G area including applications and services from the users, key enabling technologies, regulatory and business models, end-user evaluations and applications/services creation points of viewExplains the results of major collaborative (industry-academia-SMEs) MobiLife research projectBuilds on previous and parallel interaction with the Wireless World Research ForumExplores pioneering legal/regulatory analysis of the challenges related to new, advanced application/service solutions including personalisation and DRMPresents qualitative evaluations and field studies of more than 250 end-users in Italy and FinlandAdditional material available on companion website
Database Support for Data Mining Applications
Discovering Knowledge with Inductive Queries
Häftad, Engelska, 2004
552 kr
Skickas inom 10-15 vardagar
Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling. The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.