This book offers insights into the scope of data mining initiatives, including their socio-economic and legal implications to stakeholders, organizations, and society. There is a current paucity of literature with emphasis on developing countries or relatable cases with relevance to their...

Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-Nearest Neighbors (kNN) -- The Naive Bayes classifier -- Classification and regression trees -- Logistic regression -- Neural nets --...

Data has become an indispensable success factor for every company. However, the road towards a data-driven organization is paved with numerous challenges. This book presents a process model for the path to a data-driven company and provides recommendations for the design of all relevant fields...