Estimating query performance is the task of predicting the quality of results returned by a search engine in response to a query. In this paper, we focus on pre-retrieval prediction methods for the medical domain. We propose a novel predictor that exploits a thesaurus to ascertain how difficult queries are. In our experiments, we show that our predictor outperforms the state-of-the-art methods ...

This paper presents a new computationally adaptive formulation of the full-search block-matching (FSBM) motion estimation. A key feature of our approach is to progressively adjust the number of computations required per block to the picture variation by applying a data-driven thresholding. Unlike the related methods, the proposed algorithm utilizes a simple threshold updating mechanism which ne...

The problem of retrieving time series similar to a specified query pattern has been recently addressed within the Case Based Reasoning (CBR) literature. Providing a flexible and efficient way of dealing with such an issue would be of paramount importance in medical domains, where many patient parameters are often collected in the form of time series. In this paper, we describe a novel framework...

The aim of our research is to produce and assess short summaries to aid users’ relevance judgements, for example for a search engine result page. In this paper we present our new metric for measuring summary quality based on representativeness and judgeability, and compare the summary quality of our system to that of Google. We discuss the basis for constructing our evaluation methodology in co...

Skyline operator has gained much attention in the last decade and is proved to be valuable for multi-criteria decision making. This paper presents a novel Flexible Interactive Querying (FlexIQ) framework for user feedback-based Select-Project-Join (SPJ) query refinement in databases. In FlexIQ, the user feedback is used to discover the query intent. In addition, we have used the skyline operato...

In an era that, searching the WWW for information becomes a tedious task, it is obvious that mainly search engines and other data mining mechanisms need to be enhanced with characteristics such as NLP in order to better analyze and recognize user queries and fetch data. We present an efficient mechanism for stemming and tagging for the Greek language. Our system is constructed in such a way tha...

To obtain high quality of results in gamma spectrometry, it is necessary to calibrate energy and efficiency of gamma detector as accurate as possible. To achieve this aim, utilizing the convenient gamma source can be very useful. Therefore, purpose of present study was to evaluate the determined efficiency by single point gamma sources and multi-nuclides gamma source in a high purity germanium ...

Currently, the quality of a search engine is often determined using so-called topical relevance, i.e., the match between the user intent (expressed as a query) and the content of the document. In this work we want to draw attention to two aspects of retrieval system performance affected by the presentation of results: result attractiveness (“perceived relevance”) and immediate usefulness of the...

Using matched employer-employee level data drawn from the 2004 UK Workplace and Employee Relations Survey, we explore the determinants of a measure of worker commitment and loyalty (CLI) and whether CLI influences workplace performance. Our empirical findings suggest that the employee's industry-occupation specific relative wage is an important factor influencing employee attitudes towards the ...

The concept and application of phase-space reconstructions are reviewed. Fractional derivatives are then proposed for the purpose of reconstructing dynamics from a single observed time history. A procedure is presented in which the fractional derivatives of time series data are obtained in the frequency domain. The method is applied to the Lorenz system. The ability of the method to unfold the ...