A fully-automatic approach to volume registration based on global information content is described. In a nutshell this task represents an optimization problem that has been solved with respect to robustness and computational speed especially. Strong attention has been paid to the choice of an optimized function that measure the quality of the registration (Mutual Information), to the choice of ...

Internet provides drastic access to the news articles from different information sources around the world. The main approach is used to find out the users preference from both news content and user information. Incremental clustering is done on the web news document in order to group the documents for recommendation. The idea of conceptual clustering is used. It finds the similarity between the...

The increasing number of documents returned by search engines for typical requests makes it necessary to look for new methods of representation of the search results. In this paper, we discuss the possibility to exploit incremental, navigational maps based both on page content, hyperlinks connecting similar pages and ranking algorithms (such as HITS, SALSA, PHITS and PageRank) in order to build...

Consistent with findings in other markets, implied volatility is a biased predictor of the realized volatility of gold futures. No existing explanation—including a price of volatility risk— can completely explain the bias, but much of this apparent bias can be explained by persistence and estimation error in implied volatility. Statistical criteria reject the hypothesis that implied volatility ...

We propose an approach to Distributed Information Retrieval based on the periodic and incremental centralisation of full-text indices of widely dispersed and autonomously managed content sources. Inspired by the success of the Open Archive Initiative’s protocol for metadata harvesting, the approach occupies middle ground between: (i) the crawling of content, and (ii) the distribution of retriev...

Understanding the interconnected relationships of large-scale information networks like social, scholar and Internet Things is vital for tasks recommendation fraud detection. The vast majority real-world are inherently heterogeneous dynamic, containing many different types nodes edges can change drastically over time. dynamicity heterogeneity make it extremely challenging to reason about networ...

During the learning process, sharing and participating is the important thing. Efficiently using the learning contents has been an active research topic in developing the educational material. It probes the environment of the learning process through Sharable Content Object Reference Model (SCORM). Peer to Peer (P2P) technology seems to be the most well suited mechanism to deal with the problem...