Different from previous imputation methods which impute missing values in the incomplete
samples by using the information in the complete samples, this paper proposes a Date-drive …

Introduction In order to make sustainable decisions in precision prevention and health
promotion, it is important to adequately assess people's demands and resources at work. To …

Patchwork learning arises as a new and challenging data collection paradigm where both
samples and features are observed in fragmented subsets. Due to technological limits …

Deep learning practices have a large impact on many areas. Big data and key hardware
developments in GPU and TPU are the main reasons behind deep learning success. The …

Association rule mining algorithms are a frequently used data mining tecnique. It is aimed to
find the items that are frequently found from the data. Nowadays, large data processing and …

Symbolic regression is the process of constructing mathematical expressions that best fit
given data sets, where a target variable is expressed in terms of input variables. Unlike …

Method. A cross-sectional survey was conducted in public and private sector university
libraries of Punjab, Pakistan. The study's population comprised of university librarians …

The tremendous growth of the E-commerce industry over the last decade drew attention to
the importance of understanding customers' behaviors and modeling user-system …

Method. A cross-sectional survey was conducted in public and private sector university
libraries of Punjab, Pakistan. The study's population comprised of university librarians …

Decision-making is used effectively in enriching data by utilizing various techniques such as
analyzing data trends, developing data consistency, and providing information to the user in …