نتایج جستجو برای: they have not had many outlier points but
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to explore the idea the investingation proposed, aimed at finding whether the performances of the population of iranians students studying english in an efl context are consistent in l1 and l2 writing taks and whether there is a cross-linguistic transfer in this respect. in this regard the subjects were instructed to write four compositions-two in english and two in farsi-which consisted of an ...
on- the-job training on of the most effective tools for managers to cope with the changing organizational environment. it grantess suitable services to customers, particularly in public service enterprises. if such training os goal oriented, planned systematically, and tailored to the employees, job content, then not only it could increase employees and organizational performance, but also it c...
Outlier detection is very important functionality of data mining, it has enormous applications. This paper proposes a clustering based approach for outlier detection using spatio-temporal data. It uses three step approach to detect spatiotemporal outliers. In the first step of outlier detection, clustering is performed on the spatio-temporal dataset with proposed Spatio-Temporal Shared Nearest ...
Outliers detection is a task that finds objects that are dissimilar or inconsistent with respect to the remaining data. It has many uses in applications like fraud detection, network intrusion detection and clinical diagnosis of diseases. Using clustering algorithms for outlier detection is a technique that is frequently used. The clustering algorithms consider outlier detection only to the poi...
The outlier sensitivity of classical principal component analysis (PCA) has spurred the development of robust techniques. Existing robust PCA methods like ROBPCA work best if the non-outlying data have an approximately symmetric distribution. When the original variables are skewed, too many points tend to be flagged as outlying. A robust PCA method is developed which is also suitable for skewed...
Recently many researchers have focused on mining data streams and they proposed many techniquesand algorithms for data streams. It refers to the process of extracting knowledge from nonstop fast growing data records. They are data stream classification, data stream clustering, and data stream frequentpattern items and so on. Data stream clustering techniques are highly helpful to cluster the si...
the three great poets, i.e. hafez, khayyam, and abulala muarri have many things in common though they have had no influence on each other. the common intellectual yhings in the poetical works of hafez and khayyam may be classified in three categories, that is to say, god, human beings, and the university. hafez believes in plato and khayyam in aristotle. but they have a common nostalgia concern...
the study of the meaning is the oldest intellectual concerns of human over time and in various cultures and civilizations. the meaning have occupid the chiness and indian thinkers and philosophers of the greeks and romans during centuries. the arab and muslim linguists and others mostly shared in study of many issues related to meaning of the words. arab’s linguistic research has focus on deter...
there have been many differences on the subject of literacy or illiteracy of prophet muhammad (peace be upon him) for a long time. many have said that he was not able to read or write throughout his life. they ratiocinate depending on the words of (ommi) and (ommien) in holy quran, meaning illiterate in dictionaries, or the story of the treaty of hudaybiyya. this can be considered as an unaccep...
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