Sharifah Sakinah Syed Ahmad

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Data reduction is an essential task in the data preparation phase of knowledge discovery and data mining (KDD). The reduction method contains two techniques, namely features reduction and data reduction which are commonly applied to a classification problem. The solution of data reduction can be viewed as a search problem. Therefore, it can be solved by(More)
The aim of this research is to examine whether Twitter impacts its users by using data science approach. A comparison between the data collection using Twitter Search API via RStudio and NodeXL has been made. After comparing the two methods, data collection using NodeXL is proven to be the better method for obtaining the sufficient information by comparing(More)
The study aims to classify Landsat 8 satellite data using fuzzy c-means (FCM) method of classification. Fuzzy classification for a land cover is representing to solve mixture classes of pixels. FCM is a method of clustering by assigning the membership degree into one or more cluster. By using both two indices, Normalized Difference Vegetation Index (NDVI)(More)
Principal Component Analysis and Linear Discriminant Analysis are the most popular approach used in statistical data analysis. Both of these approaches are usually implemented as traditional linear technique for Dimension reduction approach. Dimension reduction is useful approach in data analysis application. The concept of dimension reduction will help the(More)
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