About this book
The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others:
- What are the key factors that affect the performance of data fusion algorithms significantly?
- What conditions are favorable to data fusion algorithms?
- CombSum and CombMNZ, which one is better? and why?
- What is the rationale of using the linear combination method?
- How can the best fusion option be found under any given circumstances?
- DOI https://doi.org/10.1007/978-3-642-28866-1
- Copyright Information Springer-Verlag Berlin Heidelberg 2012
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Engineering
- Print ISBN 978-3-642-28865-4
- Online ISBN 978-3-642-28866-1
- Series Print ISSN 1867-4534
- Series Online ISSN 1867-4542
- About this book