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A user which has a high correlation with any group of users is known as white user whereas the users which have less correlation with any group of users are known as gray-sheep users. The presence of gray-sheep users affects the accuracy of the model, and generates inaccurate predictions. To improve the prediction accuracy, it is important to differentiate graysheep users from white users. Experimental results show that PowKMeans is effective in improving the prediction accuracy by 4.62%. It has also shown reduction in Mean Absolute Error by 0.7757.<\/p>","DOI":"10.4018\/ijitwe.2018040106","type":"journal-article","created":{"date-parts":[[2018,1,29]],"date-time":"2018-01-29T09:34:55Z","timestamp":1517218495000},"page":"56-69","source":"Crossref","is-referenced-by-count":8,"title":["PowKMeans"],"prefix":"10.4018","volume":"13","author":[{"given":"Honey","family":"Jindal","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shalini","family":"Agarwal","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neetu","family":"Sardana","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJITWE.2018040106-0","unstructured":"Al Mamunur Rashid, S. 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