22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016

22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016

141 Lectures · Aug 12, 2016

About

KDD 2016, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

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Uploaded videos:

Opening Ceremony

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16:13

Opening Ceremony

Sep 28, 2016

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1786 Views

Introduction
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01:07:05

Award Ceremony

Oct 05, 2016

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3206 Views

Best Paper
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24:33

A Big Data Perspective

Philip S. Yu

Oct 05, 2016

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1753 Views

Best Paper

Keynote Talks

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01:12:16

Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Network...

Jennifer Chayes

Aug 31, 2016

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3472 Views

Keynote
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01:03:56

People, Computers, and The Hot Mess of Real Data

Joseph M. Hellerstein

Aug 31, 2016

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2218 Views

Keynote
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01:19:26

A VC View of Investing in ML

Greg Papadopoulos

Aug 31, 2016

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2377 Views

Keynote
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01:29:26

The Evolving Meaning of Information Security

Whitfield Diffie

Aug 31, 2016

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1740 Views

Keynote
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01:23:44

Learning to learn and compositionality with deep recurrent neural networks

Nando de Freitas

Aug 31, 2016

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7149 Views

Keynote

Plenary Panel

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01:46:19

Is Deep Learning the New 42?

Aug 31, 2016

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10191 Views

Panel

Applied Data Science Invited Talks

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38:12

Can You Teach The Elephant To Dance? AKA: Culture Eats Data Science for Breakfas...

Jonathan Becher

Sep 05, 2016

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1599 Views

Invited Talk
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34:55

Large Scale Machine Learning at Verizon: Theory and Applications

Jeff Stribling

Sep 05, 2016

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2517 Views

Invited Talk
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39:36

Computational Social Science: Exciting Progress and Future Challenges

Duncan Watts

Sep 05, 2016

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1667 Views

Invited Talk
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32:52

Bayesian Optimization and Embedded Learning Systems

Jeff Schneider

Sep 05, 2016

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1819 Views

Invited Talk
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38:20

The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning derived fr...

Ingo Mierswa

Sep 05, 2016

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1758 Views

Invited Talk
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24:39

How Machine Learning has Finally Solved Wanamaker’s Dilemma

Oliver Downs

Sep 05, 2016

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1516 Views

Invited Talk
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38:55

Accelerating the Race to Autonomous Cars

Danny Shapiro

Sep 05, 2016

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1539 Views

Invited Talk
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39:57

It’s About Time

Caitlin Smallwood

Sep 05, 2016

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1510 Views

Invited Talk
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37:11

The Dirty Little Secret of Enterprise Data

Andy Palmer

Sep 05, 2016

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1438 Views

Invited Talk
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24:53

Democratizing Consumer Identity: Data Science’s Answer to Facebook

Randell Cotta,

Devin Guan

Sep 05, 2016

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1421 Views

Invited Talk
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01:02:34

Big Data Needs Big Dreamers: Lessons from successful Big Data investors

Sep 05, 2016

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1579 Views

Panel
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58:33

Big Data Tools and Solutions: The Myths and the Reality

Sep 05, 2016

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1735 Views

Panel

Tutorials

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03:10:54

Mining Reliable Information from Passively and Actively Crowdsourced Data

Jiawei Han,

Wei Fan,

Jing Gao,

Qi Li,

Bo Zhao

Sep 09, 2016

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2345 Views

Tutorial
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03:02:48

Leveraging Propagation for Data Mining: Models, Algorithms and Applications

B. Aditya Prakash,

Naren Ramakrishnan

Sep 09, 2016

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2090 Views

Tutorial
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02:46:37

Business Applications of Predicitive Modeling at Scale

Qiang Zhu,

Songtao Guo,

Paul Ogilvie,

Yan Liu

Sep 09, 2016

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2031 Views

Tutorial
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02:25:28

Scalable Learning of Graphical Models

Geoff Webb,

François Petitjean

Sep 09, 2016

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1957 Views

Tutorial
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03:21:37

Collective Sensemaking via Social Sensors: Extracting, Profiling, Analyzing, and...

Yu-Ru Lin,

Yuheng Hu,

Jiebo Luo

Sep 09, 2016

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2199 Views

Tutorial
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02:11:24

Lifelong Machine Learning and Computer Reading the Web

Bing Liu,

Estevam R. Hruschka,

Zhiyuan (Brett) Chen

Sep 09, 2016

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2447 Views

Tutorial
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03:16:10

Healthcare Data Mining with Matrix Models

Fei Wang,

Ping Zhang,

Joel Dudley

Sep 09, 2016

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2397 Views

Tutorial
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03:11:49

Algorithmic Bias: From Discrimination Discovery to Fairness-Aware Data Mining

Carlos Castillo,

Francesco Bonchi

Sep 09, 2016

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2240 Views

Tutorial
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02:12:35

Extracting Optimal Performance From Dynamic Time Warping

Eamonn Keogh,

Abdullah Al Mueen

Sep 09, 2016

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3388 Views

Tutorial
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02:52:26

IoT Big Data Stream Mining

Albert Bifet,

João Gama,

Latifur Khan

Sep 09, 2016

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2384 Views

Tutorial

Hands-On Tutorials

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01:51:39

Building Recommender Systems using Photon ML

Deepak Agarwal,

Bee-Chung Chen,

Paul Ogilvie,

Xianxing Zhang,

Josh Fleming,

Alex Shelkovnykov

Sep 16, 2016

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3748 Views

Tutorial
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02:17:04

MXNet

Mu Li,

Tianqi Chen

Sep 16, 2016

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2255 Views

Tutorial
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02:20:06

Getting Started with Amazon Web Services Bootcamp

Jack Hemion,

Ujjwal Ratan,

Androski Spicer

Sep 16, 2016

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1459 Views

Tutorial
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01:35:27

Streaming Analytics

Ashish Gupta

Sep 16, 2016

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1660 Views

Tutorial
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02:18:48

Big Natural Language Data Processing

Gabor Melli,

Matt Seal

Sep 16, 2016

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1636 Views

Tutorial
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03:16:32

Introduction to Spark 2.0

Matei Zaharia,

Doug Bateman,

Michael Armbrust,

Reynold Xin

Sep 16, 2016

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2324 Views

Tutorial
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02:48:34

CNTK - Microsoft’s open-source deep-learning toolkit

Amit Agarwal,

Frank Seide

Sep 16, 2016

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3825 Views

Tutorial
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02:46:16

Scalable R on Spark

Mengyue Zhao,

Hang Zhang,

Vanja Paunić,

Srini Kumar,

Mario Inchiosa,

Robert Horton,

Debraj GuhaThakurta,

John-Mark Agosta

Sep 16, 2016

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3391 Views

Tutorial

Applied Data Science Session: Social Good - I

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26:46

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta

Michael Madaio,

Wenwen Zhang,

Shang-Tse Chen,

Oliver Haimson

Sep 22, 2016

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1714 Views

Lecture
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24:16

Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach

Laura Rusu

Sep 22, 2016

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1135 Views

Lecture
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29:10

Aircraft Trajectory Prediction made easy with Predictive Analytics

Samet Ayhan

Sep 22, 2016

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1498 Views

Lecture
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23:42

Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Reco...

Chuanren Liu

Sep 22, 2016

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1425 Views

Lecture
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13:34

Identifying Police Officers at Risk of Adverse Events

Joe Walsh

Sep 22, 2016

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1495 Views

Lecture

Applied Data Science Session: Recommendations and Ranking

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20:54

Collaborative Knowledge Base Embedding for Recommender Systems

Fuzheng Zhang

Sep 22, 2016

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1864 Views

Lecture
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23:41

Contextual Intent Tracking for Personal Assistants

Yu Sun

Sep 22, 2016

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1650 Views

Lecture
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15:51

An Empirical Study on Recommendation with Multiple Types of Feedback

Liang Tang

Sep 22, 2016

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1523 Views

Lecture
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25:32

Minimizing Legal Exposure for High-Tech Companies through Collaborative Filterin...

Bo Jin

Sep 22, 2016

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1250 Views

Lecture

Applied Data Science Session: Social Networks and Social Media

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22:39

Engagement Capacity and Engaging Team Formation for Reach Maximization of Online...

Shounak Gore

Sep 22, 2016

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1242 Views

Lecture
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20:20

Email Volume Optimization at LinkedIn

Rupesh Gupta

Sep 22, 2016

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2113 Views

Lecture
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23:41

Identifying Decision Makers from Professional Social Networks

Shipeng Yu

Sep 22, 2016

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1443 Views

Lecture
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30:55

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting S...

Sathappan Muthiah

Sep 22, 2016

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1265 Views

Lecture

Applied Data Science Session: Machine Learning Algorithms

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22:51

Matrix Computations and Optimization in Apache Spark

Reza Bosagh Zadeh

Sep 22, 2016

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1338 Views

Lecture
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27:18

GLMix: Generalized Linear Mixed Models For Large Scale Response Prediction

Xianxing Zhang

Sep 22, 2016

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1424 Views

Lecture
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20:48

Boosted Decision Tree Regression Adjustment for Variance Reduction of Online Con...

Alexey Drutsa

Sep 22, 2016

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1476 Views

Lecture
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18:53

Online dual decomposition for performance and delivery-based distributed ad allo...

Jim C. Huang

Sep 22, 2016

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1370 Views

Lecture
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19:18

Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Feature...

Ying Shan

Sep 22, 2016

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1871 Views

Lecture

Applied Data Science Session: Systems and Experimentation

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25:11

Question Independent Grading using Machine Learning: The Case of Computer Progra...

Gursimran Singh

Sep 22, 2016

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1314 Views

Lecture
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18:09

Predicting Disk Replacement towards Reliable Data Centers

Mirela Madalina Botezatu

Sep 22, 2016

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1437 Views

Lecture
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31:49

Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons ...

Xiaolin Shi

Sep 22, 2016

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1668 Views

Lecture
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27:05

Evaluating Mobile App Release

Ya Xu

Sep 22, 2016

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1291 Views

Lecture
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27:06

Anomaly Detection Using Program Control Flow Graph Mining from Execution Logs

Animesh Nandi

Sep 22, 2016

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1444 Views

Lecture

Applied Data Science Session: E-Commerce

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25:06

Repeat Buyer Prediction for E-Commerce

Wei Chen

Sep 22, 2016

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1540 Views

Lecture
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19:16

From Online Behaviors to Offline Retailing

Qing He

Sep 22, 2016

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1417 Views

Lecture
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27:01

An Engagement-Based Customer Lifetime Value System for E-commerce

Ali Vanderveld

Sep 22, 2016

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1482 Views

Lecture
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22:21

Predictors without Borders: Behavioral Modeling of Product Adoption in Three Dev...

Muhammad Khan

Sep 22, 2016

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1315 Views

Lecture

Research Session: Graphs and Rich Data

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21:40

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage

Bryan Hooi

Sep 25, 2016

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1527 Views

Lecture
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22:57

CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors

Meng Jiang

Sep 25, 2016

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1635 Views

Lecture
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22:30

Compact and Scalable Graph Neighborhood Sketching

Takuya Akiba

Sep 25, 2016

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1434 Views

Lecture
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22:04

QUINT: On Query-Specific Optimal Networks

Liangyue Li

Sep 25, 2016

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1383 Views

Lecture
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22:44

Graph Wavelets via Sparse Cuts

Arlei Lopes da Silva

Sep 25, 2016

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1487 Views

Lecture

Research Session: Graphs and Social Networks - I

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20:35

Come-and-Go Patterns of Group Evolution: A Dynamic Model

Tianyang Zhang

Sep 25, 2016

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1451 Views

Lecture
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26:19

Robust Influence Maximization

Wei Chen

Sep 25, 2016

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1384 Views

Lecture
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20:58

Robust Influence Maximization

Xinran He

Sep 25, 2016

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1408 Views

Lecture
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12:35

Structural Neighborhood based Classification of Nodes in a Network

Sharad Nandanwar

Sep 25, 2016

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1369 Views

Lecture
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16:21

Asymmetric Transitivity Preserving Graph Embedding

Ziwei Zhang

Sep 25, 2016

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1636 Views

Lecture

Research Session: Graphs and Social Networks - II

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21:05

FINAL: Fast Attributed Network Alignment

Si Zhang

Sep 25, 2016

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1366 Views

Lecture
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23:29

Inferring Network Effects from Observational Data

David Arbour

Sep 25, 2016

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1482 Views

Lecture
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18:13

Joint Community and Structural Hole Spanner Detection via Harmonic Modularity

Lifang He

Sep 25, 2016

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1909 Views

Lecture
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23:51

Sampling of Attributed Networks From Hierarchical Generative Models

Pablo Robles Granda

Sep 25, 2016

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1298 Views

Lecture
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21:57

FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks

Chen Chen

Sep 25, 2016

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1578 Views

Lecture

Research Session: Clustering

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25:50

Skinny-dip: Clustering in a Sea of Noise

Samuel Maurus

Sep 25, 2016

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1189 Views

Lecture
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24:55

Targeted Topic Modeling for Focused Analysis

Shuai Wang

Sep 25, 2016

 · 

1331 Views

Lecture
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17:29

Structured Doubly Stochastic Matrix for Graph Based Clustering

Xiaoqian Wang

Sep 25, 2016

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1775 Views

Lecture
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16:01

Dynamic Clustering of Streaming Short Documents

Weinan Zhang

Sep 25, 2016

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1534 Views

Lecture

Research Session: Unsupervised Learning and Anomaly Detection

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23:14

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning

Yue Ning

Sep 25, 2016

 · 

1426 Views

Lecture
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27:21

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correl...

Wei Cheng

Sep 25, 2016

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1308 Views

Lecture
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23:36

Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data D...

Kai Ming Ting

Sep 25, 2016

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1426 Views

Lecture
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18:57

Partial Label Learning via Feature-Aware Disambiguation

Xiangnan Kong

Sep 25, 2016

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1551 Views

Lecture
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18:10

Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Avi...

Bryan Matthews

Sep 25, 2016

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1394 Views

Lecture

Research Session: Supervised Learning

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26:12

Extreme Multi-label Loss Functions for Reommencdation, Tagging, Ranking & Other ...

Himanshu Jain

Sep 25, 2016

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1498 Views

Lecture
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23:45

Annealed Sparsity via Adaptive and Dynamic Shrinking

Kai Zhang

Sep 25, 2016

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1260 Views

Lecture
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24:26

"Why Should I Trust you?" Explaining the Predictions of Any Classifier

Marco Tulio Ribeiro

Sep 25, 2016

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2294 Views

Lecture
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13:25

Robust Extreme Multi-label Learning

Chang Xu

Sep 25, 2016

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1562 Views

Lecture
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22:26

Privacy-preserving Class Ratio Estimation

Arun Iyer

Sep 25, 2016

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1374 Views

Lecture

Research Session: User-Behavior Modeling

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18:48

Predicting Matchups and Preferences in Context

Shuo Chen

Sep 25, 2016

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1445 Views

Lecture
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16:09

Just One More: Modeling Binge Watching Behavior

William Trouleau

Sep 25, 2016

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1259 Views

Lecture
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17:46

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social I...

Tong Xu

Sep 25, 2016

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1965 Views

Lecture
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26:44

Assessing Human Error Against a Benchmark of Perfection

Ashton Anderson

Sep 25, 2016

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1536 Views

Lecture
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18:55

Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization

Junming Liu

Sep 25, 2016

 · 

1611 Views

Lecture

Research Session: Large-Scale Data Mining

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16:28

PTE: Enumerating Trillion Triangles On Distributed Systems

Ha-Myung Park

Sep 27, 2016

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1274 Views

Lecture
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26:57

Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches

Daniel Ting

Sep 27, 2016

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1355 Views

Lecture
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21:23

Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs

Emaad Manzoor

Sep 27, 2016

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1365 Views

Lecture
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24:40

XGBoost: A Scalable Tree Boosting System

Tianqi Chen

Sep 27, 2016

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2777 Views

Lecture
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21:36

Communication Efficient Distributed Kernel Principal Component Analysis

Yingyu Liang

Sep 27, 2016

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1330 Views

Lecture

Research Session: Streams and Temporal Evolution - I

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19:39

NetCycle: Collective Evolution Inference in Heterogeneous Information Networks

Yizhou Zhang

Sep 27, 2016

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1330 Views

Lecture
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24:57

Positive Unlabeled Learning in Streaming Networks

Shiyu Chang

Sep 27, 2016

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1733 Views

Lecture
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24:00

TRIEST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed ...

Lorenzo De Stefani

Sep 27, 2016

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1174 Views

Lecture
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22:41

Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperacti...

Hao Hu

Sep 27, 2016

 · 

1369 Views

Lecture
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18:11

Approximate Personalized PageRank on Dynamic Graphs

Hongyang Zhang

Sep 27, 2016

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1273 Views

Lecture

Research Session: Streams and Temporal Evolution - II

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18:34

GMove: Group-Level Mobility Modeling using Geo-Tagged Social Media

Chao Zhang

Sep 27, 2016

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1556 Views

Lecture
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28:50

A multiple test correction for streams and cascades of statistical hypothesis te...

Geoff Webb

Sep 27, 2016

 · 

1422 Views

Lecture
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24:49

Continuous Experience-aware Language Model

Subhabrata Mukherjee

Sep 27, 2016

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2018 Views

Lecture
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26:54

A Subsequence Interleaving Model for Sequential Pattern Mining

Jaroslav Fowkes

Sep 27, 2016

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1132 Views

Lecture

Research Session: Deep Learning and Embedding

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22:24

Structural Deep Network Embedding

Daixin Wang

Sep 27, 2016

 · 

1833 Views

Lecture
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25:44

node2vec: Scalable Feature Learning for Networks

Aditya Grover

Sep 27, 2016

 · 

2417 Views

Lecture
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24:13

Smart Reply: Automated Response Suggestion for Email

Anjuli Kannan

Sep 27, 2016

 · 

1696 Views

Lecture
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17:30

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Net...

Shuangfei Zhai

Sep 27, 2016

 · 

2071 Views

Lecture
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21:05

ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rad...

Matteo Riondato

Sep 27, 2016

 · 

1327 Views

Lecture

Research Session: Recommender System

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23:27

Towards Conversational Recommender Systems

Konstantina Christakopoulou

Sep 27, 2016

 · 

2131 Views

Lecture
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22:30

When Social Influence Meets Item Inference

Hui-Ju Hung

Sep 27, 2016

 · 

1335 Views

Lecture
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19:52

Point-of-Interest Recommendations: Learning Potential Check-ins from Friends

Huayu Li

Sep 27, 2016

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1700 Views

Lecture
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26:02

The Limits of Popularity-Based Recommendations, and the Role of Social Ties

Alessandro Panconesi

Sep 27, 2016

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1228 Views

Lecture
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20:41

Goal-Directed Inductive Matrix Completion

Si Si

Sep 27, 2016

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1521 Views

Lecture

Research Session: Sequence Mining

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23:32

Mining Subgroups with Exceptional Transition Behavior

Florian Lemmerich

Sep 27, 2016

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1310 Views

Lecture
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22:14

Lexis: An Optimization Framework for Discovering the Hierarchical Structure of S...

Payam Siyari

Sep 27, 2016

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1574 Views

Lecture
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24:32

Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences

Yasuko Matsubara

Sep 27, 2016

 · 

1692 Views

Lecture
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22:05

Unified Point-of-Interest Recommendation with Temporal Interval Assessment

Yanchi Liu

Sep 27, 2016

 · 

1639 Views

Lecture

Research Session: Optimization

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21:55

Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic ...

Lei Han

Sep 27, 2016

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1346 Views

Lecture
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22:23

Accelerating Online CP Decompositions for Higher Order Tensors

Shuo Zhou

Sep 27, 2016

 · 

1483 Views

Lecture
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25:01

Robust Large-Scale Machine Learning in the Cloud

Steffen Rendle

Sep 27, 2016

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1781 Views

Lecture
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23:46

Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability

Lingfei Wu

Sep 27, 2016

 · 

1375 Views

Lecture

Networking Session: Data Science of China @ KDD 2016

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16:22

Urban Computing: Using Big Data to Tackle Urban Challenges

Yu Zheng

Nov 07, 2016

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1292 Views

Lecture
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15:12

People Analytics in Human Resources

Hui Xiong

Nov 07, 2016

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1447 Views

Lecture
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16:29

Data Science Tools and Platforms for Business Applications

Jian Pei

Nov 07, 2016

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1522 Views

Lecture
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30:46

Mining Structures from Massive Text Corpora

Jiawei Han

Nov 07, 2016

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1620 Views

Lecture
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23:29

Network Representation: A Revisit in the Big Data Era

Peng Cui

Nov 07, 2016

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1865 Views

Lecture
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23:43

AMiner: Toward Understanding Big Scholar Data

Jie Tang

Nov 07, 2016

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1433 Views

Lecture
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24:42

Big Data Analytics in Science

Wei Wang

Nov 07, 2016

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1978 Views

Lecture
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13:17

Mining Brain Networks

Philip S. Yu

Nov 07, 2016

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1407 Views

Lecture
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18:06

Graph Processing and Mining in the Era of Big Data

Chengqi Zhang

Nov 07, 2016

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1418 Views

Lecture