DSMM'19: The 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets

被引：0
|
作者：
Burdick, Douglas [1 ]
Krishnamurthy, Rajasekar [2 ]
Raschid, Louiqa [3 ]
机构：
[1] IBM Res Almaden, San Jose, CA 95120 USA
[2] IBM Watson, Armonk, NY USA
[3] Univ Maryland, College Pk, MD 20742 USA
来源：
SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA | 2019年
关键词：
Data Science; Macro-modeling; Financial entities; Entity Resolution;
D O I：
10.1145/3299869.3323599
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
DSMM 2019 will explore the challenges of macro-modeling with financial and economic datasets. The workshop will also showcase the 2019 Financial Entity Identification and Information Integration (FEIII) Challenge which involves two challenge tasks, one over small business data and the other over customs data for shipping manifests.
引用
收藏
页码：2068 / 2069
页数：2
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