vol. 6, no. 1, 2014, ser. 66/3     extended abstract   explaining the relationship indices of the performance evaluation and rank performance with the growth of the companies   m. afshar                                          r. zamani amugheen molana higher education, abyek, qazvin   introduction        due tocompetition in the global economy and an increase in public awareness about the fin...

There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...

the presence of noise in geophysical measurements has undesirable effects on the seismic data. one of the important problems in seismic data processing is attenuation of the noise to the desired form and keeping the original signal. contamination of seismic data with noise prevents obtaining a proper image of geological structures and seismic data interpretation. in some of the receivers the no...

This paper is concerned with the generalization analysis on learning to rank for information retrieval (IR). In IR, data are hierarchically organized, i.e., consisting of queries and documents. Previous generalization analysis for ranking, however, has not fully considered this structure, and cannot explain how the simultaneous change of query number and document number in the training data wil...

Predication is one of the fundamental tasks of data mining. In recent years, Artificial Intelligence techniques are widely being used in data mining applications where conventional statistical methods were used such as Regression and classification. The aim of this work is to show the applicability of Gene Expression Programming (GEP), a recently developed AI technique, for hydraulic data predi...

Interestingness measures stand as proxy for “real human interest,” but their effectiveness is rarely studied empirically due to the difficulty of obtaining ground-truth data. We propose a method based on learning-to-rank algorithms that enables pairwise rankings collected from domain community members to be used to learn a domain-specific measure. We apply this method to study the interestingne...

This paper is concerned with the consistency analysis on listwise ranking methods. Among various ranking methods, the listwise methods have competitive performances on benchmark datasets and are regarded as one of the state-of-the-art approaches. Most listwise ranking methods manage to optimize ranking on the whole list (permutation) of objects, however, in practical applications such as inform...