Data Mining for Business Analytics

Index

• A–B testing, 327
• A–B tests, 334
• accident data
  • discriminant analysis, 319
  • naive Bayes, 214
  • neural nets, 292
• activation function, 287
• additive seasonality, 432
• adjusted-R², 171, 172
• affinity analysis, 16, 345
• agglomerative, 379, 387
• agglomerative algorithm, 387
• aggregation, 77, 78, 83, 86
• AIC, 171, 264
• airfare data
  • multiple linear regression, 181
• Akaike Information Criterion, 171
• algorithm, 9
• ALVINN, 284
• Amtrak data
  • time series, 411, 424
  • visualization, 65
• Amtrak ridership example, 453
• analytics, 3
• antecedent, 348
• appliance shipments data
  • time series, 420, 448, 467
  • visualization, 97
• Apriori algorithm, 345, 349
• AR models, 437
• AR(1), 438, 439
• area under the curve, 140
• ARIMA models, 437
• artificial intelligence, 5, 9, 100
• artificial neural networks, 284
• association rules, 16, 18, 345, 346
  • confidence, 349, 350, 355
  • cutoff, 353
  • data format, 352
  • itemset, 348
  • lift ratio, 349, 351
  • random selection, 355
  • statistical significance, 356
  • support, 349
• asymmetric cost, 27, 149, 541
• asymmetric response, 541
• attribute, 9
• AUC, 140
• Australian wine sales data
  • time series, 448, 469
• Auto posts, 512
• autocorrelation, 423, 433, 438
• average linkage, 390, 393
• average squared errors, 165

• back propagation, 290
• backward elimination, 172, 264
• bag-of-words, 497, 501
• bagging, 243, 331
• balanced portfolios, 376
• bar chart, 65
• batch updating, 291
• bath soap data, 537
• benchmark, 127, 145
• benchmark confidence value, 351
• best subsets, 44
• betweenness in a network, 481
• bias, 36, 170, 318
• bias–variance ...