Data Mining Applications with R

Index

Note: Page numbers followed by f indicate figures and t indicate tables.

A

Accuracy

data set balancing, 237–238

feature selection, 239

finding and model deployment, 243–244

and Kappa statistics, 421, 422

MLogit classifier, 423

null value detection, 232

Occam’s razor, 421

out-of-bag prediction, 404

Accuracy measures

iteration times, 324

Accuracy-v-Cut-off analysis

classifier models, 203–204, 203f

PR and BE models, 204

probability, accuracy maximization, 203

Agglomerative Hierarchical Clustering, 234

Aggregation functions, 248–249

aggr() function

missing/imputed values, 231

package VIM, 231

AM, See Arithmetic mean (AM)

Anthropology

community structure, 90–91

emergent issues and controversies, 63

institutional supports, 90

long-form weblog posts, ...