580
INDEX
Proﬁle, see Item proﬁle, see User pro-
ﬁle
Projection, 34, 36
Pruhs, K.R., 318
Pseudoinverse, see Moore-Penrose pseu-
doinverse
Puz, N., 78
PyTorch, 530, 570
Quadratic programming, 492
Query, 146, 165, 287
Query example, 498
Quinlan, J.R., 522
R-tree, 292
Rack, 22
Radius, 263, 265, 406
Raghavan, P., 20, 212, 426
Rahm, E., 427
Rajagopalan, S., 20, 212, 426
Ramakrishnan, R., 78, 292
Ramsey, W., 317
Random hyperplanes, 117, 326
Random interconnection layer, 527
Random surfer, 176, 177, 182, 196, 390
Randomization, 238
Rank, 442
Rarest-ﬁrst order, 313
Rastogi, R., 174, 292
Rating, 320, 323
RDD, see Resilient distributed dataset
Reachability, 407, 408, 415
Recommendation system, 18, 319
Rectiﬁed linear unit, see ReLU
Recurrent neural network, 18, 523, 557
Recursion, 49
Recursive doubling, 411, 415
Reduce task, 25, 27
Reduce worker, 28, 30
Reducer, 27, 45
Reducer size, 61, 67
Reed, B., 79
Regression, 464, 502, 518
Regression loss, 536
Regularization, 565
Regularization parameter, 490
Reichsteiner, A., 461
Reina, C., 292
Relation, 33
Relational algebra, 33
ReLU, 534, 562
Replication, 24
Replication rate, 61, 68
Representation, 278
Representative point, 275
Representative sample, 149
Reservoir sampling, 174
Residual PageRank, 393
Resilient distributed dataset, 43
Response, 549
Restart, 391
Retained set, 270
Revenue, 304
Rheinlander, A., 78
Ripple-carry adder, 168
RMSE, see Root-mean-square error
RNN, see Recurrent neural network
Robinson, E., 78
Rocha, L.M., 461
Root-mean-square error, 322, 341, 447,
536
Rosa, M., 426
Rosenblatt, F., 522
Rounding data, 335
Row, see Tuple
Row-orthonormal matrix, 448
Rowsum, 278
Royalty, J., 78
Rumelhart, D.E., 570
S-curve, 102, 111
Saberi, A., 318
Salihoglu, S., 78
Sample, 238, 242, 245, 247, 267, 275,
279
Sampling, 148, 162
Saturation, 531
Savasere, A., 250
Sax, M.J., 78
