- William Spoth, Ting Xie, Oliver Kennedy, Ying Yang, Beda Christoph Hammerschmidt, Zhen Hua Liu, Dieter Gawlick:
SchemaDrill: Interactive Semi-Structured Schema Design. HILDA@SIGMOD 2018: 11:1-11:7 - Yifan Wu, Steven Mark Drucker, Matthai Philipose, Lenin Ravindranath:
Querying Videos Using DNN Generated Labels. HILDA@SIGMOD 2018: 6:1-6:6 - Konstantinos Zarifis, Yannis Papakonstantinou:
ViDeTTe Interactive Notebooks. HILDA@SIGMOD 2018: 2:1-2:7 - Carsten Binnig, Juliana Freire, Eugene Wu:
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2018, Houston, TX, USA, June 10, 2018. ACM 2018 [contents] - 2017
- Nurzety A. Azuan, Suzanne M. Embury
, Norman W. Paton:
Observing the Data Scientist: Using Manual Corrections As Implicit Feedback. HILDA@SIGMOD 2017: 13:1-13:6 - Dharmil Chandarana, Vraj Shah, Arun Kumar, Lawrence K. Saul:
SpeakQL: Towards Speech-driven Multi-modal Querying. HILDA@SIGMOD 2017: 11:1-11:6 - AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Pradap Konda, Han Li, Sidharth Mudgal, Erik Paulson, Paul Suganthan G. C., Haojun Zhang:
Human-in-the-Loop Challenges for Entity Matching: A Midterm Report. HILDA@SIGMOD 2017: 12:1-12:6 - Yue Guo, Carsten Binnig, Tim Kraska:
What you see is not what you get!: Detecting Simpson's Paradoxes during Data Exploration. HILDA@SIGMOD 2017: 2:1-2:5 - Alexandr A. Kalinin, Selvam Palanimalai, Ivo D. Dinov:
SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications. HILDA@SIGMOD 2017: 8:1-8:6 - Yannis Katsis, Nikos Koulouris, Yannis Papakonstantinou, Kevin Patrick:
Assisting Discovery in Public Health. HILDA@SIGMOD 2017: 1:1-1:6 - Sanjay Krishnan, Eugene Wu:
PALM: Machine Learning Explanations For Iterative Debugging. HILDA@SIGMOD 2017: 4:1-4:6 - Ben McCamish, Arash Termehchy, Behrouz Touri:
A Game-theoretic Approach to Data Interaction: A Progress Report. HILDA@SIGMOD 2017: 15:1-15:4 - Hui Miao, Amit Chavan, Amol Deshpande:
ProvDB: Lifecycle Management of Collaborative Analysis Workflows. HILDA@SIGMOD 2017: 7:1-7:6 - Dominik Moritz, Danyel Fisher:
What Users Don't Expect about Exploratory Data Analysis on Approximate Query Processing Systems. HILDA@SIGMOD 2017: 9:1-9:4 - Paolo Tamagnini, Josua Krause, Aritra Dasgupta, Enrico Bertini:
Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations. HILDA@SIGMOD 2017: 6:1-6:6 - Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré:
Flipper: A Systematic Approach to Debugging Training Sets. HILDA@SIGMOD 2017: 5:1-5:5 - John E. Wenskovitch, Chris North:
Observation-Level Interaction with Clustering and Dimension Reduction Algorithms. HILDA@SIGMOD 2017: 14:1-14:6 - Haoci Zhang, Thibault Sellam, Eugene Wu:
Precision Interfaces. HILDA@SIGMOD 2017: 10:1-10:6 - Ce Zhang, Wentao Wu, Tian Li:
An Overreaction to the Broken Machine Learning Abstraction: The ease.ml Vision. HILDA@SIGMOD 2017: 3:1-3:6 - Carsten Binnig, Joseph M. Hellerstein, Aditya G. Parameswaran:
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2017, Chicago, IL, USA, May 14, 2017. ACM 2017, ISBN 978-1-4503-5029-7 [contents] - 2016
- Daniel Alabi, Eugene Wu:
PFunk-H: approximate query processing using perceptual models. HILDA@SIGMOD 2016: 10 - Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska:
The case for interactive data exploration accelerators (IDEAs). HILDA@SIGMOD 2016: 11 - Henry R. Ehrenberg, Jaeho Shin, Alexander J. Ratner, Jason A. Fries, Christopher Ré:
Data programming with DDLite: putting humans in a different part of the loop. HILDA@SIGMOD 2016: 13 - Muhammad El-Hindi, Zheguang Zhao, Carsten Binnig, Tim Kraska:
VisTrees: fast indexes for interactive data exploration. HILDA@SIGMOD 2016: 5 - Danyel Fisher:
Big data exploration requires collaboration between visualization and data infrastructures. HILDA@SIGMOD 2016: 16 - Juliana Freire, Boris Glavic, Oliver Kennedy, Heiko Mueller:
The exception that improves the rule. HILDA@SIGMOD 2016: 7 - Minsuk Kahng, Dezhi Fang, Duen Horng (Polo) Chau:
Visual exploration of machine learning results using data cube analysis. HILDA@SIGMOD 2016: 1 - Niranjan Kamat, Eugene Wu, Arnab Nandi:
TrendQuery: a system for interactive exploration of trends. HILDA@SIGMOD 2016: 12 - Linus Karsai, Alan D. Fekete, Judy Kay, Paolo Missier:
Clustering provenance facilitating provenance exploration through data abstraction. HILDA@SIGMOD 2016: 6 - Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu:
Towards reliable interactive data cleaning: a user survey and recommendations. HILDA@SIGMOD 2016: 9
