Cost-sensitive and ensemble-based prediction model for outsourced software project risk prediction
نویسندگان
چکیده
a Institute of Business Intelligence and Knowledge Discovery, Guangdong University of Foreign Studies, Sun Yat-sen University, Higher Education Mega Center, Guangzhou 510006, PR China b School of Management, Guangdong University of Foreign Studies, Higher Education Mega Center, Guangzhou 510006, PR China c School of Business, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou 510275, PR China d Department of Management and Marketing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China e Foster School of Business, University of Washington, Seattle, WA 98195-3226, USA f Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS 66160, USA
منابع مشابه
A Cost-sensitive Intelligent Prediction Model for Outsourced Software Project Risk
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ورودعنوان ژورنال:
- Decision Support Systems
دوره 72 شماره
صفحات -
تاریخ انتشار 2015