Workshops

We have a fantastic lineup of full-day and half-day workshops to be held in conjunction with KDD 2017. The purpose of a workshop is to provide an opportunity for participants from academia, industry, government and other related parties to present and discuss novel ideas on current and emerging topics relevant to knowledge discovery and data mining.

Check back as we get closer to the conference for more detailed program information.

Full Day Workshops

Title Organizers Timeslot

Mining and Learning from Time Series
Eamonn Keogh
Yan Liu
Abdullah Mueen
Sanjay Purushotham
Vijay Manikandan Janakiraman
Full Day

Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Wei Fan
Albert Bifet
Jesse Read
Qiang Yang
Philip Yu
Full Day

Interactive Data Exploration and Analytics (IDEA)
Jefrey Lijffijt
Polo Chau
Jilles Vreeken
Dafna Shahaf
Matthijs van Leeuwen
Christos Faloutsos
Full Day

Mining and Learning with Graphs
Michele Catasta
Shobeir Fakhraei
Danai Koutra
Silvio Lattanzi
Julian McAuley
Jennifer Neville
Full Day

Fairness, Accountability, Transparency in Machine Learning (FATML)
Solon Barocas
Sorelle Friedler
Joshua A. Kroll
Suresh Venkatasubramanian
Hanna Wallach
Full Day

International Workshop on Data Mining in Bioinformatics
Xin Gao
Le Song
Mohammed J. Zaki
Jake Y. Chen
Full Day

Urban Computing
Yu Zheng
Jieping Ye
Qiang Yang
Philip Yu
Ouri Wolfson
Zhenhui Li
Full Day

Data Science + Journalism
Elena Erdmann
Kristian Kersting
Amanda Stent
Elena Zheleva
Full Day

Data Science for Intelligent Food, Energy and Water
Naoki Abe
Chid Apte
Joseph Byrum
Rayid Ghani
Marko Grobelnik
James Hodson
Estevam Rafael Hruschka Junior
Vipin Kumar
Shashi Shekhar
Mitch Tuinstra
Ranga Raju Vatsavai
Full Day

2017 Edition of AdKDD and TargetAd
Abraham Bagherjeiran
Nemanja Djuric
Mihajlo Grbovic
Kuangchih Lee
Kun Liu
Vladan Radosavljevic
Suju Rajan
Full Day

Half Day Workshops

Title Organizers Timeslot

Medical Informatics and Healthcare
Samah Jamal Fodeh
Daniela Stan Raicu
AM

Workshop on Causal Discovery
Lin Liu
Jiuyong Li
Kun Zhang
Emre Kiciman
Negar Kiyavash
AM

Machine Learning Meets Fashion, Data, algorithms and analytics for the fashion industry
Vikas C. Raykar
Soo-Min Pantel
Raghavendra Singh
Julian McAuley
PM

Machine Learning for Prognostics and Health Management
Madhusudana Shashanka
Abhishek Srivastav
Michael Giering
Soumik Sarkar
Kishore Reddy
Soumalya Sarkar
PM

Big data analytics-as-a-Service: Architecture, Algorithms, and Application in Health Informatics
Ahmad P. Tafti
Angus Roberts
David Page
Eric LaRose
Peggy Peissig
Philippe Cudre-Mauroux
Reza Zadeh
Richard Segall
AM

Machine Learning for Creativity
Karthik Sankaranarayanan
Lav R. Varshney
Francois Pachet
Douglas Eck
Kush R. Varshney
Anush Sankaran
Priyanka Agrawal
AM

Data-Driven Discovery
Ying Ding
James A. Evans
Scott Spangler
Lav Varshney
Dashun Wang
PM

Anomaly Detection in Finance
Senthil Kumar
Alexander Statnikov
Tanveer Faruquie
Di W. Xu
PM

Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM)
Yongzheng Zhang
Erik Cambria
Bing Liu
Yunqing Xia
PM

Advancing Education With Data
Andrew Lan
Christopher G. Brinton
Jiquan Ngiam
Mung Chiang
Richard Baraniuk
Roshan Sumbaly
Shivani Rao
AM