%PDF-1.7
%
829 0 obj
<>/Metadata 881 0 R/Pages 826 0 R/StructTreeRoot 113 0 R/Type/Catalog/ViewerPreferences 863 0 R>>
endobj
881 0 obj
<>stream
Risk, Machine Learning, SAS Visual Analytics, Model Validation, Advanced Analytics, Decision Tree
Microsoft® Word 2016
With the new SAS® Visual Analytics and SAS® Visual Data Mining and Machine Learning capabilities on SAS® Viya®, institutions can more quickly and easily understand drivers of customer risk in a visually appealing way. Analysts can identify new opportunities for stakeholders to identify potential gains or losses by understanding drivers of risk and detecting new risk factors as they emerge over time. Using a combination of supervised and unsupervised machine learning methods, businesses can further understand and improve their own definition of customer risk as an organization. In this talk, Zencos shares its expertise in identifying high-risk attributes, understanding the relative importance of each driver, and recognizing key combinations of factors associated with risky behavior through an anti-money laundering case study. <br/><br/>Leigh Ann Herhold, Zencos
Session 2675
en
jeff.foxx@sas.com
With the new SAS® Visual Analytics and SAS® Visual Data Mining and Machine Learning capabilities on SAS® Viya®, institutions can more quickly and easily understand drivers of customer risk in a visually appealing way. Analysts can identify new opportunities for stakeholders to identify potential gains or losses by understanding drivers of risk and detecting new risk factors as they emerge over time. Using a combination of supervised and unsupervised machine learning methods, businesses can further understand and improve their own definition of customer risk as an organization. In this talk, Zencos shares its expertise in identifying high-risk attributes, understanding the relative importance of each driver, and recognizing key combinations of factors associated with risky behavior through an anti-money laundering case study. <br/><br/>Leigh Ann Herhold, Zencos
Microsoft® Word 2016
2018-04-02T16:07:28.000-04:00
2018-04-02T16:07:28.000-04:00
2018-03-08T13:51:39.000-05:00
2018-04-03T15:46:59.276-04:00
76f6890cfa7ec5fb2b0d787beebb7ebb5475d314
740941
application/pdf
2018-04-03T15:46:59.201-04:00
Leigh Ann Herhold
SASGF Template
Risk Pathways: Using Machine Learning Techniques of SAS® Viya® to Understand Customer Risk Drivers
uuid:51A18D60-AEC4-4895-9681-2AD2F374FDA2
uuid:66badbe7-f3ce-423a-b38b-6b354131cf88
thirdparty
support:sgf-papers
year:2018
industry:1150
sasrelease:1008
support:sgf-papers/session-type/breakout
support:sgf-papers/topic/analytics/data-mining-predictive-modeling
support:customer-roles/business-analyst
endstream
endobj
826 0 obj
<>
endobj
113 0 obj
<>
endobj
863 0 obj
<>
endobj
114 0 obj
<>
endobj
115 0 obj
<>
endobj
116 0 obj
<>
endobj
117 0 obj
[162 0 R 163 0 R 164 0 R 165 0 R 166 0 R 171 0 R 178 0 R 742 0 R 825 0 R 743 0 R 181 0 R 191 0 R 192 0 R 193 0 R 194 0 R 195 0 R 196 0 R 197 0 R 198 0 R 199 0 R 740 0 R 823 0 R 741 0 R 738 0 R 821 0 R 739 0 R 736 0 R 819 0 R 737 0 R 182 0 R 183 0 R 184 0 R 185 0 R 186 0 R 187 0 R 188 0 R 189 0 R 190 0 R 732 0 R 731 0 R]
endobj
118 0 obj
[294 0 R 513 0 R 800 0 R 514 0 R 296 0 R 305 0 R 306 0 R 307 0 R 308 0 R 309 0 R 310 0 R 311 0 R 312 0 R 313 0 R 314 0 R 315 0 R 316 0 R 317 0 R 318 0 R 319 0 R 320 0 R 321 0 R 322 0 R 323 0 R 324 0 R 325 0 R 326 0 R 327 0 R 328 0 R 509 0 R 798 0 R 510 0 R 330 0 R 297 0 R 298 0 R 299 0 R 167 0 R 760 0 R 761 0 R 300 0 R 169 0 R 757 0 R 758 0 R 301 0 R 302 0 R 303 0 R 512 0 R 511 0 R]
endobj
119 0 obj
[502 0 R 790 0 R 503 0 R 359 0 R 361 0 R 362 0 R 363 0 R 365 0 R 370 0 R 371 0 R 372 0 R 373 0 R 374 0 R 461 0 R 788 0 R 462 0 R 376 0 R 382 0 R 383 0 R 384 0 R 385 0 R 386 0 R 387 0 R 388 0 R 494 0 R 497 0 R 468 0 R 489 0 R 492 0 R 493 0 R 469 0 R 482 0 R 485 0 R 486 0 R 487 0 R 488 0 R 470 0 R 478 0 R 481 0 R 471 0 R 472 0 R 475 0 R 476 0 R 477 0 R 498 0 R 500 0 R 377 0 R 172 0 R 754 0 R 755 0 R 174 0 R 750 0 R 751 0 R 752 0 R 378 0 R 379 0 R 380 0 R 366 0 R 176 0 R 745 0 R 746 0 R 747 0 R 748 0 R 460 0 R 458 0 R]
endobj
120 0 obj
<>
endobj
121 0 obj
<>
endobj
122 0 obj
<>
endobj
123 0 obj
<>
endobj
124 0 obj
[201 0 R 202 0 R 203 0 R 204 0 R 205 0 R 206 0 R 207 0 R 208 0 R 209 0 R 210 0 R 211 0 R 212 0 R 213 0 R 214 0 R 215 0 R]
endobj
125 0 obj
[216 0 R 217 0 R 218 0 R 219 0 R 729 0 R 817 0 R 730 0 R 221 0 R 223 0 R 224 0 R 225 0 R 697 0 R 815 0 R 698 0 R 227 0 R 228 0 R 229 0 R 230 0 R 231 0 R 232 0 R 233 0 R 234 0 R 235 0 R 723 0 R 726 0 R 727 0 R 728 0 R 703 0 R 717 0 R 720 0 R 721 0 R 722 0 R 704 0 R 711 0 R 714 0 R 715 0 R 716 0 R 705 0 R 706 0 R 709 0 R 710 0 R]
endobj
126 0 obj
<>
endobj
127 0 obj
<>
endobj
128 0 obj
[236 0 R 239 0 R 241 0 R 242 0 R 243 0 R 652 0 R 813 0 R 653 0 R 245 0 R 246 0 R 249 0 R 250 0 R 251 0 R 253 0 R 255 0 R 685 0 R 688 0 R 659 0 R 680 0 R 683 0 R 684 0 R 660 0 R 673 0 R 676 0 R 677 0 R 678 0 R 679 0 R 661 0 R 669 0 R 672 0 R 662 0 R 663 0 R 666 0 R 667 0 R 668 0 R 644 0 R 647 0 R 617 0 R 639 0 R 642 0 R 643 0 R 618 0 R 631 0 R 638 0 R 635 0 R 636 0 R 637 0 R 619 0 R 627 0 R 630 0 R 620 0 R 621 0 R 624 0 R 625 0 R 626 0 R 604 0 R 607 0 R 578 0 R 599 0 R 602 0 R 603 0 R 579 0 R 592 0 R 595 0 R 596 0 R 597 0 R 598 0 R 580 0 R 588 0 R 591 0 R 581 0 R 582 0 R 585 0 R 586 0 R 587 0 R 648 0 R 693 0 R 689 0 R 608 0 R]
endobj
129 0 obj
<>
endobj
130 0 obj
[571 0 R 810 0 R 572 0 R 257 0 R 259 0 R 260 0 R 261 0 R 263 0 R 264 0 R 265 0 R 266 0 R 532 0 R 808 0 R 533 0 R 268 0 R 270 0 R 565 0 R 568 0 R 539 0 R 560 0 R 563 0 R 564 0 R 540 0 R 553 0 R 556 0 R 557 0 R 558 0 R 559 0 R 541 0 R 549 0 R 552 0 R 542 0 R 543 0 R 546 0 R 547 0 R 548 0 R 269 0 R 569 0 R]
endobj
131 0 obj
<>
endobj
132 0 obj
<>
endobj
133 0 obj
[271 0 R 531 0 R 530 0 R 529 0 R 528 0 R 527 0 R 273 0 R 519 0 R 806 0 R 520 0 R 275 0 R 278 0 R 279 0 R 517 0 R 804 0 R 518 0 R 277 0 R 276 0 R]
endobj
134 0 obj
<>
endobj
135 0 obj
<>
endobj
136 0 obj
[281 0 R 284 0 R 515 0 R 802 0 R 516 0 R 286 0 R 289 0 R 290 0 R 291 0 R 292 0 R 293 0 R 283 0 R 288 0 R 282 0 R 287 0 R]
endobj
137 0 obj
<>
endobj
138 0 obj
<>
endobj
139 0 obj
<>
endobj
140 0 obj
[331 0 R 334 0 R 335 0 R 336 0 R 337 0 R 338 0 R 796 0 R 508 0 R 333 0 R 332 0 R]
endobj
141 0 obj
<>
endobj
142 0 obj
[340 0 R 343 0 R 344 0 R 345 0 R 506 0 R 794 0 R 507 0 R 347 0 R 342 0 R 341 0 R]
endobj
143 0 obj
<>
endobj
144 0 obj
[348 0 R 350 0 R 351 0 R 504 0 R 792 0 R 505 0 R 353 0 R 354 0 R 356 0 R 357 0 R 349 0 R 355 0 R]
endobj
145 0 obj
<>
endobj
146 0 obj
<>
endobj
147 0 obj
<>
endobj
148 0 obj
[389 0 R 390 0 R 391 0 R 392 0 R 393 0 R 394 0 R 395 0 R 396 0 R 397 0 R 398 0 R 399 0 R 400 0 R 401 0 R 402 0 R 403 0 R 404 0 R 405 0 R 406 0 R 407 0 R 408 0 R 409 0 R]
endobj
149 0 obj
[410 0 R 456 0 R 786 0 R 457 0 R 454 0 R 784 0 R 455 0 R 452 0 R 782 0 R 453 0 R 450 0 R 779 0 R 451 0 R 448 0 R 775 0 R 449 0 R 416 0 R 417 0 R 418 0 R 419 0 R 420 0 R 446 0 R 773 0 R 447 0 R 443 0 R 771 0 R 444 0 R 440 0 R 769 0 R 441 0 R 437 0 R 767 0 R 438 0 R 422 0 R 423 0 R 424 0 R 425 0 R 426 0 R 427 0 R 764 0 R 762 0 R 428 0 R 429 0 R 430 0 R]
endobj
150 0 obj
<>
endobj
151 0 obj
<>
endobj
152 0 obj
<>
endobj
153 0 obj
<>
endobj
154 0 obj
<>
endobj
155 0 obj
<>
endobj
156 0 obj
<>
endobj
157 0 obj
<>
endobj
158 0 obj
<>
endobj
159 0 obj
<>
endobj
160 0 obj
<>
endobj
44 0 obj
<>/MediaBox[0 0 612 792]/Parent 826 0 R/Resources<>/Font<>/ProcSet[/PDF/Text]>>/Rotate 0/StructParents 33/Tabs/S/Type/Page>>
endobj
45 0 obj
<>stream
HWێ
~PM/!@Ҍ`73@`ⵝ
q&ueZ5-!yxx/ӻww˗M=/a;~t/O| Ƨ0=}8NO'|b^BOcSz3\e?w?⏇?ރK>sdQWb B:8qϜ/LJ9?ުMק?]ۄLޞM\NGKޛ*"n797bqpo&b<