Privacy preserving data mining using anonymization and K-means clustering on labor dataset

• Main Author: Ahmad Zahari, Samahah Solehah
• Format: Thesis
• Language: English
• Published: 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/96295/1/SamahahSolehahMSC2019.pdf.pdf; http://eprints.utm.my/id/eprint/96295/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143456

Privacy Preserving Data Mining (PPDM) has recently become an important research area. There are some issues and problems related to PPDM have been identified. Information loss occur when the original of data are modified to keep the privacy of those data. Effects of PPDM also cause the level of data...