Data mining a tutorial based primer pdf

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem.

Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools. Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more.

Step 6: Interpretation and Evaluation. Step 7… Expand. Save to Library Save. Create Alert Alert. Share This Paper. Background Citations. Methods Citations. Topics from this paper. Hobbies Boredom.

Citation Type. Has PDF. Publication Type. More Filters. View 1 excerpt, cites methods. Data Mining in Hospital Information System.

Data mining for imprecise temporal associations. View 1 excerpt, cites background.