نتایج جستجو برای: undesirable data
تعداد نتایج: 2421478 فیلتر نتایج به سال:
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
By analyzing corpus data, we have shown that the tendencies of restricting perfective past marking to Accomplishments and Achievements and imperfective marking to Statives and Activities as described by the Aspect Hypothesis (Shirai, 1991; Andersen & Shirai, 1996), undesirable in the acquisition of various languages, are desirable in the acquisition of a language like Chinese, because these ten...
while the conventional dea based production plans aim to minimize all the inputs consumption and maximize all the outputs production, there are many real world production systems may also generate undesirable by-products. one methodological difficulty associated with the previous dea-based production planning models is how to incorporate undesirable factors in the planning models, while the sim...
data envelopment analysis (dea) is an efficient method to perform evaluation of units. in dea we try to evaluate units with undesirable factors in input & outputs by satisfaction function, testing some models. on the other hand benefiting this concept, we can identify non-efficient units. also we can recognize why these units are inefficient and calculate the reason of their inefficiency and ho...
A new index for analysis of single-case research data was proposed, Tau-U, which combines nonoverlap between phases with trend from within the intervention phase. In addition, it provides the option of controlling undesirable Phase A trend. The derivation of Tau-U from Kendall's Rank Correlation and the Mann-Whitney U test between groups is demonstrated. The equivalence of trend and nonoverlap ...
Categorical time series data can not be eeectively visualized and modeled using methods developed for ordinal data. The arbitrary mapping of categorical data to ordinal values can have a number of undesirable consequences. New techniques for visualizing and modeling categorical time series data are described, and examples are presented using computer and communications network traces.
Collection of sensitive data with the use of video-enhanced, computer-assisted, self-administered interviews (V-CASI) has the potential to reduce interview bias and improve the validity of the study. The purpose of this study was to compare responses to sensitive questions elicited by V-CASI and by face-to-face interview (FTFI) methods. Women attending a New Orleans, Louisiana, public family pl...
letter to the editor
The EDEE system provides a framework through which businesses may store the data pertaining to business events, contracts and organizational policies, within a single repository using the unifying notion of an occurrence. A collection of stored queries (cf. SQL views) is maintained. Each query describes the desirable, undesirable, and not-undesirable occurrences under the provisions (obligation...
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