The area of semistructured data includes collections of data items which have in some ways similar but not identical structure. Examples of semistructured data range from heterogeneous databases to the World Wide Web Abi97]. The area is obviously quite heterogeneous itself. However there are some important features common to all kinds of semistructured data, namely: data is represented as an ed...

Clustering groups items together that are most similar to each other and sets those that are least similar into different clusters. Methods have been developed to cluster records in a data set that are of only qualitative or quantitative data. Data sets exist that contain a mix of qualitative (nominal and ordinal) and quantitative (discrete and continuous) data. Clustering records of mixed kind...

Most research on panel data focuses mean or quantile regression, while there is not much about regression methods based the mode. In this paper, we propose a new model named fixed effects modal for in which how conditional mode of response variable depends covariates and employ kernel-based objective function to simplify computation. The proposed can complement regressions provide better centra...

the present paper sets out to investigate the syntactic category of persian modals, šâyad ‘perhaps’ and bâyad ‘must’. the syntactic category of the two modal elements has been viewed differently by different scholars. a number of scholars argue that both šâyad and bâyad are modal auxiliaries, while others claim that they both are modal adverbs. we propose that šâyad is a modal adverb and bâyad ...

When modal vectors are estimated from measured frequency response function (FRF) data, some amount of contamination in terms of random and bias errors is always present. The sources of these errors may be the experimental data acquisition process (calibration inconsistencies, averaging limitations, leakage errors, etc.) or due to limitations of the modal parameter estimation methods (mismatch b...