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PREDICTING BREAST CANCER VIA SUPERVISED LEARNING METHODS ON CLASS IMBALANCED DATA / KEERTHANA A/P RAJENDRAN.

TextPublication details: Kuala Lumpur : Asia Pacific University, 2017Description: 181 p. : ill. ; 30 cmSubject(s): Health services administration -- Information technology | Health risk assessment -- Computer programs -- EvaluationLOC classification: PM-29-18Dissertation note: A thesis submitted in fulfillment of the requirements for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1610DSBA)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Reference	APU Library Reference Collection	Masters Theses	PM-29-18 (Browse shelf (Opens below))	1	Not for loan		00016088

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Previous	PM-29-15 CONSUMER BEHAVIOUR TOWARD FOOD PURCHASE THROUGH MOBILE APPLICATION AMONG THE HOUSEHOLD IN KLANG VALLEY /	PM-29-16 THE IMPACT OF BOARD CHARACTERISTICS ON EARNING MANAGEMENT AMONG COMPANIES LOCATED IN KUALA LUMPUR	PM-29-17 FACTORS THAT CONTRIBUTE TOWARDS CONSUMER BUYING BEHAVIOUR OF ELECTRONIC PRODUCTS: EVIDENCE FROM FOREIGN STUDENTS IN ASIA PACIFIC UNIVERSITY, KUALA LUMPUR /	PM-29-18 PREDICTING BREAST CANCER VIA SUPERVISED LEARNING METHODS ON CLASS IMBALANCED DATA /	PM-29-19 A STUDY ON THE EXTRINSIC FACTORS THAT AFFECT EMPLOYEE PERFORMANCE IN THE PRIVATE HIGHER EDUCATION SECTOR WITH FOCUS ON THE ACADEMIC STAFF IN KLANG VALLEY, MALAYSIA /	PM-29-20 THE ADOPTION OF E-LEARNING IN HIGHER EDUCATION IN LIBYA /	PM-29-21 IMPLEMENTATION OF DATA MINING TECHNIQUES IN CUSTOMER CHURN PREDICTION FOR TELECOMMUNICATIONS INDUSTRY /	Next

A thesis submitted in fulfillment of the requirements for the award of the degree of M.Sc in Data Science and Business Analytics (UCMF1610DSBA)

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