In this paper; we illustrate how Internet documents can be automatically analyzed in order to identih the document’s language. This language knowledge is then used for the Internet search engine, GETESS. The aim of the language-classijication heuristics is to ensure that documents with the same content, but different languages (e.g. , in German and English), will not simultaneously presented to...

An accurate foot traffic prediction system can help retail businesses, physical stores, and restaurants optimize their labor schedule and costs, and reduce food wastage. In this paper, we design a large scale data collection and prediction system for store foot traffic. Our data has been collected from wireless access points deployed at over 100 businesses across the United States for a period ...

Relying purely on query-page similarity when ranking Web search results limits the scope of the result set to the detriment of search performance. In this paper we propose that introducing diversity into the ranking metric can increase topic coverage without adversely affecting result relevance in the face of vague queries.

http://dx.doi.org/10.1016/j.vaccine.2016.09.067 0264-410X/ 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecomm Dear Editor, We thank Pond and Mounier-Jack for their comments on our paper, ‘‘Monitoring vaccination coverage: Defining the role of surveys” [1]. We agree that for many countries, administrative estimates of coverage...

Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation that short patterns will tend to be interesting if they have a high support, whereas long patterns can still be very interesting even if their support is relatively low. However, a large number of non-closed (i.e., redu...

A coalgebraic, equational approach to the specification of observational structures allowing for a choice in the result type of observations is presented. Coalgebraic operations whose result type is structured as a coproduct of basic types are considered, and notions of coterm, covariable and coequation, dual to the algebraic notions of term, variable and equation, are used to specify structure...

Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the properties of minimal occurrences and design effective pruning techniques to prune non-closed episodes. An efficient mining algorithm Clo_episode is proposed to mine all closed episodes following a breadth-first sear...

This thesis explores the application of a deep learning approach for the prediction of media interestingness. Two different models are investigated, one for the prediction of image and one for the prediction of video interestingness. For the prediction of image interestingness, the ResNet50 network is fine-tuned to obtain best results. First, some layers are added. Next, the model is trained an...

In this paper, we analyze dynamics of runoff data from actual hydrologic station on the basis of the chaos theory. Through analyzing Characteristics of power spectrum, geometric structure of attractors and calculating Lyapunov index, it confirmed that actual runoff has chaos dynamics behavior. Local prediction model based on chaotic runoff data is inferior for heavy computation load and poor ac...