HILDA'22: The SIGMOD 2022 Workshop on Human-in-the-Loop Data Analytics

被引：0

作者：

Abouzied, Azza ^{[1
]}

Moritz, Dominik ^{[2
]}

Cafarella, Michael J. ^{[3
]}

机构：

[1] New York Univ Abu Dhabi, Abu Dhabi, U Arab Emirates

[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA

[3] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

来源：

PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (SIGMOD '22) | 2022年

关键词：

Human-in-the-loop; Data Preparation; Data Analytics; Data Visualization; Data Exploration; Data Management; Labelling; Machine Learning;

D O I：

10.1145/3514221.3524077

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

HILDA brings together researchers and practitioners to exchange ideas and results on human-data interaction. It explores how data management and analysis can be made more effective when taking into account the people who design and build these processes as well as those who are impacted by their results. We are trying to change things up a bit for HILDA 2022. There are now several good venues for the kind of work that HILDA has traditionally attracted. We plan to focus this year's workshop on early-stage research that is promising and exciting. A core part of this plan is that every paper gets a mentor. In this summary, we describe the workshop, its main areas of focus and our review and mentorship plan.

引用

页码：2552 / 2553

页数：2

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