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 --...

The general optimal portfolio selection problem with fixed transaction costs is a complex mathematical programming problem. However, by placing reasonable restrictions on the variance-covariance matrix of returns, it is possible to simplify the solution of the problem. Specifically if the...

This paper describes experience with application of operations research techniques in planning new roads and social service centers for the Dharampur area in India. The work involved designing a road network using a minimal spanning tree algorithm; selecting the number and location of the...

"This book provides comprehensive information on data analytics. It begins with a preliminary introduction and overview of the data mining process in Part I. In Part II the authors move on to discuss data exploration and dimension reduction. Part III covers performance evaluation and Part IV...

An up-to-date introduction to a market-leading platform for data analysis and machine learningMachine learning is the process by which computer algorithms can be made progressively more effective through the accumulation of data and experience. A subset of artificial intelligence, it is an...

Machine Learning for Business AnalyticsMachine learning--also known as data mining or data analytics--is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.Machine Learning for Business Analytics: Concepts,...