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23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax 2017

23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax 2017

KDD 2017, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

Opening Ceremony & Innovation Award Talk

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01:43:17

KDD 2017 Opening Session

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Keynote Talks

Private
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01:06:05

What’s Fair?

Cynthia Dwork

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Private
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01:10:46

Three Principles of Data Science: Predictability, Stability, and Computability

Bin Yu

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KDD Business Lunch

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01:07:27

KDD Business Lunch

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SIGKDD Dissertation Award

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27:56

Mining Large Multi-Aspect Data: Algorithms and Applications

Evangelos Papalexakis

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21:11

Local Modeling of Attributed Graphs: Algorithms and Applications

Bryan Perozzi

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27:05

User Behavior Modeling with Large-Scale Graph Analysis

Alex Beutel

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KDD Panel: The Future of Artificially Intelligent Assistants

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01:47:20

The Future of Artificially Intelligent Assistants

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Applied Data Science Session: Platforms and Infrastructure

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18:29

Developing a Comprehensive Framework for Multimodal Feature Extraction

Quinten McNamara

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19:06

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Heng-­Tze Cheng

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19:28

Google Vizier: A Service for BlackBox Optimization

Daniel Golovin

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Private
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17:27

FLAP: An End-to-End Event Log Analysis Platform for System Management

Tao Li

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21:21

KunPeng: Parameter Server based Distributed Learning Systems and Its Application...

Xiaolong Li

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Applied Data Science Track Session: Novel Applications

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17:38

Luck is Hard to Beat: The Difficulty of Sports Prediction

Renato Assunção

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19:57

PNP: Fast Path Ensemble Method for Movie Design

Danai Koutra

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16:24

Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction

Alejandro Mottini

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17:15

DeepSD: Generating High Resolution Climate Change Projections through Single Ima...

Thomas Vandal

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22:01

Not All Passes Are Created Equal:" Objectively Measuring The Risk and Reward of ...

Paul Power

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Applied Data Science Track Session: Medical Data

Private
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21:55

Prognosis and Diagnosis of Parkinson’s Disease Using Multi-Task Learning

Saba Emrani

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19:11

MARAS: Signaling Multi-Drug Adverse Reactions

Xiao Qin

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Private
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21:06

Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Obse...

Zhaobin Kuang

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Applied Data Science Session: Networks and Graphs

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19:03

Estimation of Recent Ancestral Origins of Individuals on a Large Scale

Ross E. Curtis

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20:52

A Century of Science: Globalization of Scientific Collaborations, Citations, and...

Hao Ma

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17:19

HinDroid: An Intelligent Android Malware Detection System Based on Structured He...

Yanfang Ye

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21:07

FIRST: Fast Interactive Attributed Subgraph Matching

Boxin Du

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19:44

MOLIERE: Automatic Biomedical Hypothesis Generation System

Justin Sybrandt

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Applied Data Science Track Session: Novel Applications 2

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21:41

Backpage and Bitcoin: Uncovering Human Traffickers

Rebecca Sorla Portnoff

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25:46

Quick Access: Building a Smart Experience for Google Drive

Sandeep Tata

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18:41

A Data Mining Framework for Valuing Large Portfolios of Variable Annuities

Guojun Gan

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19:54

A Data Science Approach to Understanding Residential Water Contamination in Flin...

Jared Webb

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17:45

Compass: Spatio Temporal Sentiment Analysis of US Election

Debjyoti Paul

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Applied Data Science Track Session: Urban Planning

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20:40

A Quasi-experimental Estimate of the Impact of P2P Transportation Platforms on U...

Zhe Zhang

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19:55

No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from D...

Jingyuan Wang

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20:24

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands b...

Jieping Ye

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20:14

Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban...

Adrian Albert

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17:35

Planning Bike Lanes based on SharingBikes' Trajectories

Jie Bao

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Applied Data Science Session: Web Applications

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21:11

A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled...

Somit Gupta

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20:31

Peeking at A/B Tests: Why it matters, and what to do about it

David Walsh

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21:27

LiJAR: A System for Job Application Redistribution towards Efficient Career Mark...

Liang Zhang

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20:15

Cascade Ranking for Operational Ecommerce Search

Shichen Liu

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21:48

A Practical Exploration System for Search Advertising

Parikshit Shah

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Research Track Session: Kernels and Sketches

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21:12

A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection

Aviv Yehezkel

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23:54

HyperLogLog Hyperextended: Sketches for Concave Sublinear Frequency Statistics

Edith Cohen

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19:55

Coresets for Kernel Regression

Yan Zheng

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23:09

Communication­-Efficient Distributed Block Minimization for Nonlinear Kernel Mac...

Cho-Jui Hsieh

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Research Track Session: Temporal Analysis

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21:46

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data

David Hallac

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20:42

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet S...

Chao Zhang

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14:10

Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif...

Hoang Anh Dau

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23:03

Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic S...

Hui Xiong

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17:38

Contextual Motifs: Increasing the Utility of Motifs using Contextual Data

Ian Fox

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Research Track Session: Graphs I

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19:58

Fast Enumeration of Large k­Plexes

Donatella Firmani

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17:39

Improved Degree Bounds and Full Spectrum Power Laws in Preferential Attachment N...

Yinon Nahum

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18:37

On Finding Socially Tenuous Groups for Online Social Networks

Chih-­Ya Shen

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21:00

A Local Algorithm for Structure­Preserving Graph Cut

Dawei Zhou

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Research Track Session: Supervised Learning I

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21:34

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweakin...

Fabrizio Silvestri

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18:20

Learning Certifiably Optimal Rule Lists for Categorical Data

Elaine Angelino

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20:30

Similarity Forests

Charu Aggarwal

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18:08

AnnexML: Approximate Nearest Neighbor Search for Extreme Multi­label Classificat...

Yukihiro Tagami

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15:20

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification

Xiangru Huang

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Research Track Session: Deep Learning

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14:08

Anomaly Detection with Robust Deep Autoencoders

Chong Zhou

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20:00

Patient Subtyping via Time-­Aware LSTM Network

Inci M. Baytas

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19:01

Collaborative Variational Autoencoder for Recommender Systems

Xiaopeng Li

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20:10

KATE: K­-Competitive Autoencoder for Text

Yu Chen

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18:41

Scalable and Sustainable Deep Learning via Randomized Hashing

Ryan Spring

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Research Track Session: Graphs II

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18:00

Weisfeiler-Lehman Neural Machine for Link Prediction

Muhan Zhang

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20:43

Network Inference via the Time­Varying Graphical Lasso

David Hallac

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16:05

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connec...

Chengxi Zang

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19:03

PReP: Path­Based Relevance from a Probabilistic Perspective in Heterogeneous Inf...

Yu Shi

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Research Track Session: Methodology

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19:38

Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Meth...

Suhang Wang

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21:52

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence...

Himabindu Lakkaraju

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19:33

Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feat...

Heng Huang

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16:13

Discovering Reliable Approximate Functional Dependencies

Panagiotis Mandros

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12:32

Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytic...

Jun (Luke) Huan

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Research Track Session: Representations

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19:19

EmbedJoin: Efficient Edit Similarity Joins via Embeddings

Haoyu Zhang

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20:00

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Gl...

Guangxu Xun

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14:27

Efficient Correlated Topic Modeling with Topic Embedding

Muhan Zhang

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21:15

Struc2vec: Learning Node Representations from Structural Identity

Daniel Ratton Figueiredo

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Research Track Session: Matrices

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17:56

Multi­-Aspect Streaming Tensor Completion

Qingquan Song

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22:41

Randomization or Condensation? Linear­Cost Matrix Sketching Via Cascaded Compres...

Kai Zhang

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17:54

Discrete Content-­aware Matrix Factorization

Rui Liu

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19:05

Unsupervised Network Discovery for Brain Imaging Data

Zilong Bai

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18:20

SPARTan: Scalable PARAFAC2 for Large & Sparse Data

Ioakeim Perros

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Research Track Session: Clustering

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18:40

Local Higher-Order Graph Clustering

Hao Yin

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20:25

Clustering Individual Transactional Data for Masses of Users

Riccardo Guidotti

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18:27

An Online Hierarchical Algorithm for Extreme Clustering

Ari Kobren

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20:54

Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters

Alessandro Epasto

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Research Track Session: Supervised Learning II

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19:37

Functional Annotation of Human Protein Coding Isoforms via Non­convex Multi­Inst...

Tingjin Luo

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18:18

Structural Deep Brain Network Mining

Shen Wang

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19:38

Is the Whole Greater Than the Sum of Its Parts?

Liangyue Li

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17:05

Deep Embedding Forest: Forest­based Serving with Deep Embedding Features

Ying Shan

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18:49

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing

Kun Kuang

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Research Track Session: Humans and Crowds

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18:26

The Co-Evolution Model for Social Network Evolving and Opinion Migration

Yupeng Gu

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20:28

Accelerating Innovation Through Analogy Mining

Tom Hope

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13:28

Robust Top-k Multiclass SVM for Visual Category Recognition

Xiaojun Chang

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19:52

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes...

Guannan Liu

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16:05

Tracking the Dynamics in Crowdfunding

Huayu Li

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Research Track Session: Recommenders

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14:49

HoORaYs: High­order Optimization of Rating Distance for Recommender Systems

Yuan Yao

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18:28

Unsupervised P2P Rental Recommendations via Integer Programming

Yanjie Fu

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21:16

Large-scale Collaborative Ranking in Near-Linear Time

Liwei Wu

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20:04

Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks

Huan Zhao

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20:40

Online Ranking with Constraints: A Primal­-Dual Algorithm and Applications to We...

Parikshit Shah

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Applied Data Science Invited Session: Understanding Behavior with Data Science

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29:17

It Takes More than Math and Engineering to Hit the Bullseye with Data

Paritosh Desai

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29:09

Mining Big Data in NeuroGenetics to Understand Muscular Dystrophy

Andy Berglund

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38:10

Talk with Mohak Shah

Mohak Shah

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Applied Data Science Invited Session: Applied Machine Learning

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31:26

Industrial Machine Learning

Joshua Bloom

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25:57

Behavior Informatics to Discover Behavior Insight for Active and Tailored Client...

Longbing Cao

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26:14

Designing AI at Scale to Power Everyday Life

Rajesh Parekh

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Applied Data Science Invited Session: Intelligent Systems and Data Science

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32:28

Planning and Learning under Uncertainty: Theory and Practice

Jonathan P. How

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29:34

Spaceborne Data Enters the Mainstream

Nick Malizia

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31:35

Big Data in Climate: Opportunities and Challenges for Machine Learning

Vipin Kumar

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Applied Data Science Invited Session: Management and Benchmarks

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29:56

More than the Sum of its Parts: Building Domino Data Lab

Eduardo Ariño de la Rubia

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32:18

Machine Learning Software in Practice: Quo Vadis?

Szilard Pafka

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Applied Data Science Invited Session: Panel on Benchmarks and Process Management in Data

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01:39:24

Benchmarks and Process Management in Data Science: Will We Ever Get Over this Me...

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Hands-On Tutorials

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03:05:01

Massive Online Analytics

Bernhard Pfahringer,

Albert Bifet

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04:43:11

Amazon Web Services & MxNET

Alex Smola,

Zachary C. Lipton

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03:00:24

META: A Unifying Framework for the Management and Analysis of Text Data

ChengXiang Zhai,

Chase Geigle

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03:11:01

Using R for Scalable Data Science: Single Machines to Hadoop Spark Clusters

Hang Zhang,

Vanja Paunić

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02:11:22

Declarative, Large-Scale Machine Learning with Apache SystemML

Prithviraj Sen,

Niketan Pansare

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01:10:16

Cloud-based Data Mining Tools for Storage, Distributed Processing, and Machine L...

Vani Mandava,

Dennis Gannon

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KDD 2017 Closing Session

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17:13

KDD 2017 Closing Session

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