Data Fusion in Information Retrieval is popular PDF and ePub book, written by Shengli Wu in 2012-04-05, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Data Fusion in Information Retrieval can be Read Online from any device for your convenience.
Data Fusion in Information Retrieval Book PDF Summary
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?
Detail Book of Data Fusion in Information Retrieval PDF
- Author : Shengli Wu
- Release : 05 April 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783642288661
- Genre : Technology & Engineering
- Total Page : 234 pages
- Language : English
- PDF File Size : 16,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Data Fusion in Information Retrieval by Shengli Wu, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.