Outlier free Real Estate Predictive Model
Studying human behaviour is a difficult task for many reasons. The reasons are ranging from an intentional task to a cognitive sign, which are processes other than those of interest occurring at the same time. The processes can be psychological, social constraint and all cognitive. The processes ope...
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Veröffentlicht in: | Compusoft: an international journal of advanced computer technology 2014-06, Vol.3 (6), p.831-831 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Studying human behaviour is a difficult task for many reasons. The reasons are ranging from an intentional task to a cognitive sign, which are processes other than those of interest occurring at the same time. The processes can be psychological, social constraint and all cognitive. The processes operated in the background and have either some time no effect on the collective data or they may reflect the results occasionally. All those undesired behaviours produce measurable responses sometimes happens to be correct by chance. If not properly handled the outliers in the design phase the resultants may affect the resultant inferences or the experimental outcome at initial stage. In this paper, the researchers have detected the outlier patterns in the Real Estate era and removed it up to a great degree, which not only reflects the drastic change in the results but also improves the rules formation. Thus, they provide a structure and comprehensive overview of the research on outlier detection. |
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ISSN: | 2320-0790 |