A new retrieval method based on time series variation using field association terms

Abstract

This paper studies the effects of the time change on the frequencies of specific terms connected to the document field in a given period. These specific terms are the field association (FA) terms. The paper also suggests a new method for automatic evaluation of the stabilization classes of FA terms to improve the precision of decision tree. The stabilization classes point out the popularity of list of FA terms depending on time change. Moreover, the suggested method manipulates the problem of the scattering of data numbers among classes to improve the performance of decision tree precision. The presented method is evaluated through conducting experiments by simulating the result of 1245 files, which are equivalent to 4.15 MB. The F-measure for increment, fairly steady, and decrement classes achieves %90.4, %99.3, and %38.6, sequentially.

A New Approach of Time Series Variation Based on Power Links and Field Association Words

“…Therefore, the documents are added to or deleted from a collection according to the time and also the collection frequencies of words change. Atlam et al [11] proposed a method to introduce the popularity of words with time based on their frequency in the past years texts data. This approach defines number of attributes and three classes of stability as the index of spread of words to obtain the frequency change of words quantitatively.…”

“…FA words are the smallest number of words by which the reader of the text can decide the field of the text. Other method by Atlam et al [11] represents FA words across the time based on the traditional FA algorithm of Atlam et al [12]. However, this algorithm had some drawbacks, because some of irrelevant FA words that are not restricted to special field are selected as FA words candidates, while that are restricted to that particular field are not selected to be FA words [13] [14].…”

An Improvement of FA Terms Dictionary using Power Link and Co-Word Analysis

“…To choose the helpful FA terms need to consider the relations among simple and compound FA terms and field ranking. So, we need to use the co-word analysis and the Power Link concepts [18].…”