this article studies the generative grammar approach and some other theories driven from it to lexicon and lexical entries. generative grammar is known as a syntax-based theory, so some aspects of language which have been studied in this theory may have been ignored in other theories. this article shows that more attention has been given to lexicon and lexical entries since 50s. we may claim th...

We describe a series of tests that have been carried out to measure the performance differences between eXtensible Markup Language (XML) and Abstract Syntax Notation One (ASN.1) with its Basic Encoding Rules (BER), for signed and unsigned attribute certificates. Our findings demonstrate that, as might be expected, XML encoded attribute certificates are approximately an order of magnitude greate...

Although files with variable length records are very frequent in actual databases due to variable length fields, missing attribute values, multiple values of an attribute and compression, little has been reported in the literature about file structures appropriate for variable length records. In this paper we describe and analyze several overflow handling techniques for the case when records ar...

This study proposes an integrated inference system to predict the financial performance of banks. The model comprises of two stages. At the first stage, the dominance-based rough set approach (DRSA) method is applied to reduce the complexity of the attributes involved, and the obtained decision rules are further refined by the neuro-fuzzy inference technique to indicate the fuzzy intervals for ...

Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this paper, we propose a technique where, by keeping histograms on attribute pairs, we achieve (i) a significant speed-up over traditional classifiers based on single attribute splitting, and (ii) the ability of building cl...

This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve minimizing such redundancy and hence reducing the load in wireless sensor networks. Considering a c...

For high dimensional data, if no preprocessing is carried out before inputting patterns to classifiers, the computation required may be too heavy. For example, the number of hidden units of a radial basis function (RBF) neural network can be too large. This is not suitable for some practical applications due to speed and memory constraints. In many cases, some attributes are not relevant to con...

With the development of cloud computing, more and more users employ cloud-based personal health record (PHR) systems. The PHR is correlated with patient privacy, and thus research suggested to encrypt PHRs before outsourcing. Comparison-based encryption (CBE) was the first to realize time comparison in attribute-based access policy by means of the forward/backward derivation functions. However,...