hotel meeting space floor plansxk6389/assets/... · 333 st charles ave, new orleans, la 70130 (504)...

Hotel Meeting Space Floor Plan

IEEE International Conference on Data Mining

November 18 – 21, 2017

New Orleans, Louisiana USA

Wi-Fi Information

SSID: Roosevelt Conference

Passphrase: event2017

Nearby Restaurants

Domenica

123 Baronne St, New Orleans, LA 70112

(504) 648-6020

(inside the hotel)

The Company Burger

611 O'Keefe Ave C7, New Orleans, LA 70113

(504) 309-9422

.5 mile from hotel

10 minute walk

Lüke

333 St Charles Ave, New Orleans, LA 70130

(504) 378-2840

.4 mile from hotel

10 minute walk

Willa Jean

611 O'Keefe Ave, New Orleans, LA 70113

(504) 509-7334

.5 mile from hotel

10 minute walk

Reuben’s Soup & Sandwich Co.

920 Gravier St, New Orleans, LA 70112

(504) 373-6687

.2 mile from hotel

3 minute walk

Red Fish Grill

115 Bourbon St, New Orleans, LA 70130

(504) 598-1200

.3 mile from hotel

5 minute walk

The Store

814 Gravier St, New Orleans, LA 70112

(504) 322-2446

.3 mile from hotel

5 minute walk

Bourbon House

144 Bourbon St, New Orleans, LA 70130

(504) 522-0111

.3 mile from hotel

5 minute walk

Social Event Information

Date: Monday, November 20, 2017

Time: 3:00 pm

Location: Meet in Waldorf Astoria Ballroom

o All non-student registrations include admissions to the banquet and the social

event.

o Social event will take place on Monday, November 20, 2017 from 3:00 pm – 6:00

pm

o Meet in the Waldorf Astoria Ballroom at 3:00 pm. There are three tour options.

First come, first serve. First choice is not guaranteed.

Tour Options:

1. Mardi Gras World Tour (1 hour)

You’ll get an overview of the history of Mardi Gras in New Orleans before guides take

you through the float den, where artists work year-round to build spectacular floats and

props.

2. Garden District Tour (1.5 hour)

Tour this historic American sector of New Orleans with its antebellum mansions and

stately gardens, and revisit the golden age of New Orleans. Originally conceived as the

American sector after the Louisiana Purchase, the Garden District was intended to rival

the exclusive Creole elegance of Esplanade Avenue, where the newly arrived Americans

were not welcome to reside among the city’s French-speaking natives

3. French Quarter Tour (1.5 hour)

The French Quarter. The original city. Full of charm, wonder, and history. This is the tour

for those wishing to know how New Orleans came to be, who created this place and gave

it its unique character, and why the city remains so distinctive today.

SATURDAY, NOVEMBER 18, 2017

TIME FULL DAY WORKSHOPS ROOM LEVEL

8:00am –

6:00pm

DSBDA - Data Science and Big Data

Analytics Salon II Mezzanine

DaMNet - Data Mining in Networks Chamber I Mayor’s

Suite

DSHCM - Data Science for Human Capital

Management

Chamber

IV

Mayor’s

Suite

SSTDM - Spatial and Spatiotemporal Data

Mining Salon V Mezzanine

DMESS - Data Mining in Earth System

Science Pontalba Mezzanine

SENTIRE - Sentiment Elicitation from Natural

Text for Information Retrieval and Extraction Salon III Mezzanine

DMBIH - Data Mining in Biomedical

Informatics and Healthcare Salon IV Mezzanine

HDM - High Dimensional Data Mining Chamber II Mayor’s

Suite

MoDat - Market of Data: Creating tools, data,

and sensors from the Social Intelligence Lafitte Mezzanine

DMS - Data Mining for Service Bienville Mezzanine

PhD Forum Chamber

III

Mayor’s

Suite

10:00am

–

10:15am

Coffee Break

11:45am

– 1pm Lunch

3pm –

3:15pm Coffee Break

SATURDAY, NOVEMBER 18, 2017

TIME HALF DAY WORKSHOPS ROOM LEVEL

8:00am

–

11:45am

Data Mining in Politics Napoleon Mezzanine

Big Data and Data Science in Retail Conti Mezzanine

ISI - ICDM International Workshop on

Intelligence and Security Informatics Saenger

Second

Level

ARIAL - Data mining for Aging,

Rehabilitation and Assisted Living Producers

Second

Level

D3M - Data-driven Discovery of Models Directors Second

Level

DMCIS - Data Mining for Cyber-physical

and Industrial Systems Prytania

Second

Level

Automation in Machine Learning Data

Mining on a Budget Orpheum

Second

Level

1:00pm

–

6:00pm

Privacy and Anonymity in the Information

Society Napoleon Mezzanine

Data Science for Human Performance in

Social Networks Saenger

Second

Level

DAPS: 2nd International Workshop on Data

Mining for the Analysis of Performance and

Success

Producers Second

Level

High Performance Graph Data Mining and

Machine Learning Directors

Second

Level

The Workshop on Optimization Based

Techniques for Emerging Data Mining

Problems

Prytania Second

Level

DMCS - Data Mining for Cyber Security Orpheum Second

Level

SERecSys - Semantics-Enabled

Recommender Systems Conti Mezzanine

SUNDAY, NOVEMBER 19, 2017

TIME SESSION ROOM LEVEL

9:00am

–

9:30am

Opening Remarks Crescent

City Mezzanine

9:30am

–

10:30am

Keynote: Leslie Valiant Crescent

City Mezzanine

10:30am

–

11:00am

Coffee Break

11:00am

–

12:40pm

Session 1:

Pattern Mining and Structure Learning Salon II Mezzanine

Session 2:

Scalable Algorithms and High Performance

Computing

Salon III Mezzanine

Session 3:

Text Mining Salon IV Mezzanine

Session 4:

Theory Salon V Mezzanine

SUNDAY, NOVEMBER 19, 2017


12:40pm

–

2:00pm

LUNCH ON OWN

2:00pm

–

3:30pm

Session 5: Recommender Systems I Salon II Mezzanine

Session 6: Geospatial/Mobility Data Salon III Mezzanine

Session 7: Sequences and Time series I Salon IV Mezzanine

Session 8: Risk Minimization and Adaptive

Learning Salon V Mezzanine

Demo Sessions Conti Mezzanine

3:30pm

–

4:00pm

Coffee Break

4:00pm

–

6:30pm

Session 9: Deep Learning Salon II Mezzanine

Session 10: Biology and Medicine Salon III Mezzanine

Session 11: Streaming and Online learning Salon IV Mezzanine

Tutorial 1: Mining Cohorts & Patient Data Salon V Mezzanine

7:00pm Welcome Reception

Waldorf

Astoria

Ballroom

Mezzanine

MONDAY, NOVEMBER 20, 2017


9:00am

–

10:00am

Keynote: Aidong Zhang

Crescent

City

Ballroom

Mezzanine

10:00am

–

10:30am

Coffee Break

10:30am

–

1:00pm

Session 12: Clustering Salon II Mezzanine

Session 13: Graph Analytics Salon III Mezzanine

Session 14: Learning Methods Salon IV Mezzanine

Tutorial 2: Challenges and Solutions in

Group Recommender Systems Salon V Mezzanine

1:00pm

–

2:00pm

LUNCH ON OWN

2:00pm

–

3:00pm

Special Papers Session

Crescent

City

Ballroom

Mezzanine

3:00pm

–

6:00pm

Social Event Departures

Waldorf

Astoria

Ballroom

Mezzanine

6:30pm Conference Banquet

Crescent

City

Ballroom

Mezzanine

TUESDAY, NOVEMBER 21, 2017


9:00am

–

10:00am

Keynote: Michael Franklin

Crescent

City

Ballroom

Mezzanine

10:00am

–

10:30am

Coffee Break

10:30am

–

12:30pm

Session 15: Network Science Salon II Mezzanine

Session 16: Feature Selection and

Extraction Salon III Mezzanine

Session 17: Recommender Systems II Salon IV Mezzanine

Tutorial 3: Mining Misinformation in

Social Media Salon V Mezzanine

12:30pm

–

2:00pm

ICDM Community Meeting (Lunch

Provided)

Crescent

City

Ballroom

Mezzanine

2:00pm

–

3:30pm

Session 18: Social Networks Salon II Mezzanine

Session 19: Multi-view and Multimodal

Learning Salon III Mezzanine

Session 20: Event Mining and Anomaly

Detection Salon IV Mezzanine

Session 21: Sequences and Time Series II Salon V Mezzanine

3:30pm

–

4:00pm

Coffee Break

4:00pm

–

5:00pm

Conference Panel Session

Crescent

City

Ballroom

Mezzanine

ICDM 2017, Nov. 18 - 21, 2017

Preliminary Schedule

Day 1 (Saturday, November 18, 2017)

Workshop open: 8:00 am – 8:30 am

8:30 am – 10:00 am Workshop Sessions

ICDM PhD Forum (http://web.eecs.umich.edu/~dkoutra/tut/icdm_phd_forum17.html)

Featured panels: "Being a successful PhD student" and "Career options after a PhD"

Participating researchers and mentors:

Leman Akoglu (CMU)

Tanya Berger-Wolf (UIC)

Emilio Ferrara (USC)

Michael Franklin (UChicago)

Tsuyoshi Ide (IBM)

Stratis Ioannidis (NEU)

Youzuo Lin (Los Alamos National Laboratory)

Pauli Miettinen (Max-Planck-Institut für Informatik)

B. Aditya Prakash (Virginia Tech)

Xingdong Wu (University of Louisiana at Lafayette)

Aidong Zhang (UB, NSF)

Full-day workshops

DSBDA - Data Science and Big Data Analytics

DaMNet - Data Mining in Networks

DSHCM - Data Science for Human Capital Management

SSTDM - Spatial and Spatiotemporal Data Mining

DMESS - Data Mining in Earth System Science

SENTIRE - Sentiment Elicitation from Natural Text for Information Retrieval and Extraction

DMBIH - Data Mining in Biomedical Informatics and Healthcare

HDM - High Dimensional Data Mining

MoDat - Market of Data: Creating tools, data, and sensors from the Social Intelligence

DMS - Data Mining for Service

Half-day Workshop

Data Mining in Politics

Big Data and Data Science in Retail

ICDM International Workshop on Intelligence and Security Informatics (ISI-ICDM)

ARIAL - Data mining for Aging, Rehabilitation and Assisted Living

Data-driven Discovery of Models (D3M)

Data Mining for Cyber-physical and Industrial Systems (DMCIS)

Automation in Machine Learning

Data Mining on a Budget

10:00 am – 10:15 am Coffee Break

10:15 am – 11:45 am Workshop Sessions

ICDM PhD Forum

Full-day workshops











Half-day Workshop

Data Mining in Politics

Big Data and Data Science in Retail

ICDM International Workshop on Intelligence and Security Informatics (ISI-ICDM)

ARIAL - Data mining for Aging, Rehabilitation and Assisted Living

Data-driven Discovery of Models (D3M)

Data Mining for Cyber-physical and Industrial Systems (DMCIS)

Automation in Machine Learning

Data Mining on a Budget

11:45 am – 1:00 pm Lunch (on your own)

1:00 pm – 3:00 pm Workshop Sessions

ICDM PhD Forum

Full-day workshops











Half-day Workshop

Privacy and Anonymity in the Information Society

Data Science for Human Performance in Social Networks

DAPS 2017: 2nd International Workshop on Data Mining for the Analysis of Performance and Success

High Performance Graph Data Mining and Machine Learning

The Workshop on Optimization Based Techniques for Emerging Data Mining Problems

DMCS - Data Mining for Cyber Security

SERecSys - Semantics-Enabled Recommender Systems

3:00 pm to 3:15 pm Coffee Break

3:00 pm to 6:00 pm Workshop Sessions

ICDM PhD Forum

Full-day workshops











Half-day Workshop

Privacy and Anonymity in the Information Society

Data Science for Human Performance in Social Networks

DAPS 2017: 2nd International Workshop on Datamining for the Analysis of Performance and Success

High Performance Graph Data Mining and Machine Learning

The Workshop on Optimization Based Techniques for Emerging Data Mining Problems

DMCS - Data Mining for Cyber Security

SERecSys - Semantics-Enabled Recommender Systems

7:00 pm – 9:00 pm ICDM Steering Committee Dinner (By Invitation

only) : CONTI Room, Mezzanine Level

Day 2 (Sunday, November 19, 2017)

Opening and Keynote Presentation-1

Conference open: 9:00 am – 9:30 am

Moderator: George Karypis

Keynote: 9:30 am – 10:30 am Leslie Valiant, Harvard University

Title: Reasoning on Learned Data

Coffee break: 10:30 am – 11:00 am

11:00 am – 12:40 pm Session

Session 1: Pattern Mining and Structure Learning

Session Chair: Zhi-Hua Zhou

Regular papers: 20 min. (including questions). Short papers: 10 min. (including questions).

Regular:

1. DM722 Efficiently Discovering Locally Exceptional yet Globally Representative

Subgroups Janis Kalofolias, Mario Boley, Jilles Vreeken

2. DM800 Scalable Hashing-Based Network Discovery Tara Safavi, Chandra Sripada,

Danai Koutra

3. DM406 Discovering Truths from Distributed Data Yaqing Wang, Fenglong Ma, Lu

Su, Jing Gao

Short:

1. DM361 Robust Estimation of Gaussian Copula Causal Structure from Mixed Data

with Missing Values Ruifei Cui, Perry Groot, Tom Heskes

2. DM627 MDL for Causal Inference on Discrete Data Kailash Budhathoki, Jilles

Vreeken

3. DM678 High-Dimensional Dependency Structure Learning for Physical Processes

Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee

4. DM588 Exploring Common and Distinct Structural Connectivity Patterns Between

Schizophrenia and Major Depression via Cluster-driven Nonnegative Matrix

Factorization Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli

Yang

Session 2: Scalable Algorithms and High Performance Computing

Session Chair: Huzefa Rangwala


Regular:

1. DM324 Distributing Frank-Wolfe via Map-Reduce Armin Moharrer, Stratis

Ioannidis

2. DM690 Scalable Algorithms for Locally Low-Rank Matrix Modeling Qilong Gu,

Joshua D. Trzasko, Arindam Banerjee

3. DM915 Importance Sketching of Influence Dynamics in Billion-scale Networks

Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh

Short:

1. DM433 Data Prefetching for Large Tiered Storage Systems Giovanni Cherubini,

Yusik Kim, Mark Lantz, Vinodh Venkatesan

2. DM565 DPiSAX: Massively Distributed Partitioned iSAX Djamel Edine Yagoubi,

Reza Akbarinia, Florent Masseglia, Themis Palpanas

3. DM632 GaDei: On Scale-up Training As A Service For Deep Learning Wei Zhang,

Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang,

Li Zhang, Bowen Zhou, Fei Wang

4. DM856 LCD: A Fast Contrastive Divergence Based Algorithm for Restricted

Boltzmann Machine Lin Ning, Randall Pittman, Xipeng Shen

Session 3: Text Mining

Session Chair: Juan D. Velasquez Silva


Regular:

1. DM363 A Self-adaptive Sliding Window based Topic Model for Non-uniform Texts

Jin He, Lei Li, Xindong Wu

2. DM581 MetaLDA: a Topic Model that Efficiently Incorporates Meta information He

Zhao, Lan Du, Wray Buntine, Gang Liu

3. DM929 Accurate Detection of Automatically Spun Content via Stylometric Analysis

Usman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan,

Fareed Zaffar

Short:

1. DM245 Sub-Gibbs Sampling: a New Strategy for Inferring LDA Chuan Hu, Huiping

Cao, Qixu Gong

2. DM623 Aspect Sentiment Model for Micro Reviews Reinald Kim Amplayo, Seung-

won Hwang

3. DM667 Identifying Media Bias by Analyzing Reported Speech Konstantina

Lazaridou, Ralf Krestel, Felix Naumann

4. DM776 An Influence-Receptivity Model for Topic based Information Cascades

Ming Yu, Varun Gupta, Mladen Kolar

Session 4: Theory

Session Chair: Raju Gottumukkala


Regular:

1. DM341: Bayesian Optimization in Weakly Specified Search Space Vu Nguyen, Sunil

Gupta, Santu Rane, Cheng Li, Svetha Venkatesh

2. DM798 GoGP: Fast Online Regression with Gaussian Processes Trung Le, Khanh

Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Phung

3. DM887 Learning doubly stochastic affinity matrix via Davis-Kahan theorem

Jiwoong Park, Taejeong Kim

Short:

1. DM353 Hierarchical Multinomial-Dirichlet model for the estimation of conditional

probability tables Laura Azzimonti, Giorgio Corani, Marco Zaffalon

2. DM467 Effective Large-Scale Online Influence Maximization Paul Lagrée, Olivier

Cappé, Bogdan Cautis, Silviu Maniu

3. DM821 Theoretically and Empirically High Quality Estimation of Closeness

Centrality Shogo Murai

Lunch break: 12:40 pm – 2:00 pm (on your own)

2:00 pm – 3:30 pm Session

Session 5: Recommender Systems I

Session Chair: Xia Ning


Regular:

1. DM234 BiCycle: Item Recommendation with Life Cycles Xinyue Liu, Yuanfang

Song, Charu Aggarwal, Yao Zhang, Xiangnan Kong

2. DM585 Exploiting Hierarchical Structures for POI Recommendation Pengpeng

Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng,, Hui Xiong

3. DM587 Collaborative Filtering with Social Local Models Huan Zhao, Quanming

Yao, James T. Kwok, Dik Lun Lee

Short:

1. DM383 Dynamic Propagation Rates: New Dimension to Viral Marketing in Online

Social Networks Tianyi Pan, Alan Kuhnle, Xiang Li, My T. Thai

2. DM626 A Broad Learning Approach for Context-Aware Mobile Application

Recommendation Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu

3. DM680 A Practically Competitive and Provably Consistent Algorithm for Uplift

Modeling Yan Zhao, Xiao Fang, David Simchi-Levi

Session 6: Geospatial/Mobility Data

Session Chair: Ranga Raju Vatsavai


Regular:

1. DM236 Tracking Hit-and-run Vehicle with Sparse Video Surveillance Cameras and

Mobile Taxicabs Yang Wang, Wuji Chen, Wei Zheng, He Huang, Wen Zhang,

Hengchang Liu

2. DM879 Data-Driven Utilization-Aware Trip Advisor for Bike-sharing Systems Ji

Hu, Zidong Yang, Yuanchao Shu, Peng Cheng, Jiming Chen

3. DM740 Spatio-Temporal Neural Networks for Space-Time Series Forecasting and

Relations Discovery Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari

Short:

1. DM316 Recover Fine-Grained Spatial Data from Coarse Aggregation Bang Liu,

Borislav Mavrin, Linglong Kong, Di Niu

2. DM510 Autoregressive Tensor Factorization for Spatio-temporal Predictions Koh

Takeuchi, Hisashi Kashima, Naonori Ueda

3. DM601 A Probabilistic Geographical Aspect-Opinion Model for Geo-tagged

Microblogs Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy

Session 7: Sequences and Time series I

Session Chair: James Bailey


Regular:

1. DM408 Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at

Superhuman Performance Levels Shaghayegh Gharghabi, Yifei Ding, Chin-Chia

Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn Keogh

2. DM516 Situation Aware Multi-Task Learning for Traffic Prediction Dingxiong

Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu

3. DM830 Linear Time Complexity Time Series Classification with Bag-of-Pattern-

Features Xiaosheng Li, Jessica Lin

Short:

1. DM295 Market Basket Prediction using User-Centric Temporal Annotated Recurring

Sequences Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino

Pedreschi

2. DM480 Learning to Fuse Music Genres with Generative Adversarial Dual Learning

Zhiqian Chen,Chih-Wei Wu,Yen-Cheng Lu,Alexander Lerch,Chang-Tien Lu

3. DM890 Incorporating Spatio-Temporal Smoothness for Air Quality Inference

Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo

Session 8: Risk Minimization and Adaptive Learning

Session Chair: Bhavani Thuraisingham


Regular:

1. DM387 Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical

Classification Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye

Liang

2. DM395 Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep

Learning NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou

3. DM326 AWDA: An Adaptive Wishart Discriminant Analysis Haoyi Xiong, Wei

Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo,

Short:

1. DM630 Risk Control of Best Arm Identification in Multi-Armed Bandits via

Successive Rejects Xiaotian Yu, Irwin King, Michael R. Lyu

2. DM777 Reputation-based Ranking Systems and their Resistance to Bribery Joao

Saude, Guilherme Ramos, Carlos Caleiro, Soummya Kar

3. DM237 HitFraud: A Broad Learning Approach for Collective Fraud Detection in

Heterogeneous Information Networks Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu

Conf. Demo Session: 2:00 pm – 3:30 pm

Session Organizers: Ryan Benton and Saurav Karmakar

1. SP35201 Fast Range Search By Pruning Unnecessary Distance Computations Based on

K-D Tree

Yewang Chen, Jai Puneet Singh, and Bouguila Nizar

2. SP35202 TweeLoc: A System for Geolocalizing Tweets at Fine-Grain

Pavlos Paraskevopoulos, Giovanni Pellegrini, and Themis Palpanas

3. SP35203 Pi-CEP: Predictive Complex Event Processing using Range Queries over

Historical Pattern Space

Syed Gillani, Abderrahmen Kammoun, and Kamal Singh

4. SP35204 Mining Human Mobility to Quantify Performance Status

Minh Nguyen, Zaki Hasnain, Sanjay Purushotham, Luciano Nocera, Paul Newton, and

Cyrus Shahabi

Coffee break: 3:30 pm – 4:00 pm


Session 9: Deep Learning

Session Chair: My Thai


Regular:

1. DM375 Topological Recurrent Neural Network for Diffusion Prediction Jia Wang,

Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang

2. DM453 A Deep Transfer Learning Approach for Improved Post-Traumatic Stress

Disorder Diagnosis Debrup Banerjee, Kazi Islam, Gang Mei, Lemin Xiao, Guangfan

Zhang, Roger Xu, Shuiwang Ji, Jiang Li

3. DM550 A Short-Term Rainfall Prediction Model using Multi-Task Convolutional

Neural Networks Minghui Qiu,Peilin Zhao,Ke Zhang,Jun Huang,Xing Shi,Xiaoguang

Wang,Wei Chu

4. DM1003 Deep Similarity-Based Batch Mode Active Learning with Exploration-

Exploitation Changchang Yin,Buyue Qian,Shilei Cao,Xiaoyu Li,Jishang Wei,Qinghua

Zheng,Ian Davidson

Short:

1. DM216 Efficient and Invariant Convolutional Neural Networks for Dense Prediction

Hongyang Gao, Shuiwang Ji

2. DM222 Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction

Tao Zeng,Bian Wu,Jiayu Zhou,Ian Davidson,Shuiwang Ji

3. DM788 Differentially Private Mixture of Generative Neural Networks Gergely Acs,

Luca Melis, Claude Castelluccia, Emiliano De Cristofaro

4. DM794 A Self-Paced Category-Aware Approach For Unsupervised Adaptation

Networks Wenzhen Huang,Peipei Yang,Kaiqi Huang

Session 10: Biology and Medicine

Session Chair: Myra Spiliopoulou


Regular:

1. DM214 Multi-task Survival Analysis Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu,

Jieping Ye

2. DM409 Generating Medical Hypotheses Based on Evolutionary Medical Concepts

Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang

3. DM857 Data-Driven Immunization Yao Zhang, Arvind Ramanathan, Anil

Vullikanti, Laura Pullum, B. Aditya Prakash

4. DM876 Knowledge Guided Short-Text Classification For Healthcare Applications

Shilei Cao,Buyue Qian,Changchang Yin,Xiaoyu Li,Jishang Wei,Qinghua Zheng,Ian

Davidson

Short:

1. DM894 Wave2Vec: Learning Deep Representations for Biosignals Ye Yuan,

Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang

2. DM449 Boosting Deep Learning Risk Prediction with Generative Adversarial

Networks for Electronic Health Records Zhengping Che, Yu Cheng, Shuangfei Zhai,

Zhaonan Sun, Yan Liu

3. DM866 Epidemic Forecasting Framework Combining Agent-Based Models and Smart

Beam Particle Filtering Farzaneh S. Tabataba, Bryan Lewis, Milad Hosseinipour,

Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon,

Madhav Marathe

4. DM425 Synchronization-inspired Co-clustering and Its Application to Gene

Expression Data Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli

Yang

Session 11: Streaming and Online learning

Session Chair: Alfredo Cuzzocrea


Regular:

1. DM292 Large Scale Kernel Methods for Online AUC Maximization Yi Ding,

Chenghao Liu, Peilin Zhao, Steven C.H. Hoi

2. DM458 HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms

with Concept Drift Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudre-Mauroux

3. DM796 Online learning of acyclic conditional preference networks from noisy data

Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif

4. DM660 Online and Distributed Robust Regressions under Adversarial Data Corruption

Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

Short:

1. DM224 WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph

Streams Kijung Shin

2. DM815 Domain Adaptation for Online ECG Monitoring Diego Carrera, Beatrice

Rossi, Pasqualina Fragneto, Giacomo Boracchi

3. DM863 New Class Adaptation via Instance Generation in One-Pass Class Incremental

Learning Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou

4. DM842 Finding Streams in Knowledge Graphs to Support Fact Checking Alessandro

Flammini, Filippo Menczer, Giovanni Luca Ciampaglia

Tutorial 1 (4:00 pm – 6:30 pm)

Challenges and Solutions in Group Recommender Systems

by Ludovico Boratto

Reception: 7:00 pm

Day 3 (Monday, November 20, 2017)

Keynote Presentation-2

Moderator: Srinivas Aluru

Keynote: 9:00 am – 10:00 am Aidong Zhang, University at Buffalo,

SUNY and the National Science Foundation

Title: Connecting the Dots: Data-Driven Self Learning for Knowledge

Discovery



Session 12: Clustering

Session Chair: Ambedkar Dukkipati


Regular:

1. DM358 AnySCAN: An Efficient Anytime Framework with Active Learning for Large-

scale Network Clustering Weizhong Zhao, Gang Chen, Xiaowei Xu

2. DM370 Revisiting Spectral Graph Clustering with Generative Community Models

Pin-Yu Chen, Lingfei Wu

3. DM535 Kernel Conditional Clustering Xiao He, Thomas Gumbsch, Damian

Roqueiro, Karsten Borgwardt

4. DM810 A Generic Framework for Interesting Subspace Cluster Detection in Multi-

attributed Networks Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao

Short:

1. DM275 Clustering by Shift Morteza Haghir Chehreghani

2. DM659 Crowdsourced correlation clustering with relative distance comparisons

Antti Ukkonen

3. DM983 CRAD: Clustering with Robust Autocuts and Depth Xin Huang, Yulia R.

Gel

4. DM914 Online Nearest Neighbor Search in Binary Space Sepehr Eghbali, Hassan

Ashtiani, Ladan Tahvildari

5. DM769 Efficient Computation of Multiple Density-Based Clustering Hierarchies

Antonio Cavalcante Araujo Neto, Joerg Sander, Ricardo J. G. B. Campello, Mario A.

Nascimento

6. DM686 Efficient Computation of Pairwise Minimax Distance Measures Morteza

Haghir Chehreghani

7. DM674 Novel Exact and Approximate Algorithms for the Closest Pair Problem

Sanguthevar Rajasekaran, Subrata Saha,, Xingyu Cai

Session 13: Graph Analytics

Session Chair: Tanya Berger-Wolf and Xiaowei Xu


Regular:

1. DM468 Improving I/O Complexity of Triangle Enumeration Yi Cui, Di Xiao, Daren

B.H. Cline, Dmitri Loguinov,

2. DM687 Scalable and Adaptive Algorithms for the Triangle Interdiction Problem on

Billion-Scale Networks Alan Kuhnle, Victoria G. Crawford, My T. Thai

3. DM710 Exploratory Analysis of Graph Data by Leveraging Domain Knowledge Di

Jin, Danai Koutra,

4. DM924 Edge-Based Wedge Sampling to Estimate Triangle Counts in Very Large

Graphs Duru Turkoglu, Ata Turk;

5. DM397 Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of

Graphs Christopher Morris, Kristian Kersting, Petra Mutzel

Short:

1. DM258 Fast Compressive Spectral Clustering Ting Li, Yiming Zhang, Dongsheng

Li, Xinwang Liu, Yuxing Peng

2. DM610 Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed,

Weighted Graphs Sebastian Goebl, Srijan Kumar, Christos Faloutsos

3. DM325 Scalable Constrained Spectral Clustering via the Randomized Projected Power

Method Weifeng Zhi, Buyue Qian, Ian Davidson

4. DM691 Efficient Mining of Subsample-Stable Graph Patterns Aleksey Buzmakov,

Sergei O. Kuznetsov, Amedeo Napoli

5. DM956 Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by

Joining Local and Global Information HongXiang Qiu, Elham Barzegaran, Mahdi

Jalili, Kevin Chen-Chuan Chang

Session 14: Learning Methods

Session Chair: Peter Beling


Regular:

1. DM500 Supervised Belief Propagation: Scalable Supervised Inference on Attributed

Networks Jaemin Yoo, Saehan Jo, U Kang,

2. DM773 An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to

Multiple-Instance Learning Rui Liu, Soumya Ray

3. DM923 A Probabilistic Approach for Learning with Label Proportions Applied to the

US Presidential Election Tao Sun, Dan Sheldon, Brendan O’Connor

4. DM635 Telling Cause from Effect using MDL-based Local and Global Regression

Alexander Marx, Jilles Vreeken

Short:

1. DM215 Learning with Inadequate and Incorrect Supervision Chen Gong, Hengmin

Zhang, Jian Yang, Dacheng Tao

2. DM261 Automatic Classification of Music Genre using Masked Conditional Neural

Networks Fady Medhat, David Chesmore, John Robinson

3. DM345 Balanced Distribution Adaptation for Transfer Learning Jindong Wang,

Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen

4. DM534 Multi-Party Sparse Discriminant Learning Jiang Bian, Haoyi Xiong, Wei

Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu

5. DM592 Tensor based Relations Ranking for Multi-relational Collective Classification

Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen

6. DM843 Informing the Use of Hyperparameter Optimization Through Metalearning

Samantha Sanders, Christophe Giraud-Carrier

Tutorial 2 (10:30 am – 1:00 pm)

Mining Cohorts & Patient Data: Challenges and Solutions for the Pre-Mining,

the Mining and the Post-Mining Phases

by Panagiotis Papapetrou and Myra Spiliopoulou

Lunch break: 1:00 pm – 2:00 pm (on your own)

Best Paper Presentations

Session Chair: Vijay Raghavan

Special Papers Session: 2:00 pm – 3:00 pm

1. DM364 TensorCast: Forecasting with Context using Coupled Tensors Miguel Ramos

de Araujo, Pedro Manual Pinto Ribeiro, Christos Faloutsos

2. DM552 Matrix Profile VII: Time Series Chains: A New Primitive for Time Series

Data Mining Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn Keogh

Social Event: 3:00 pm – 6:00 pm

Conf Banquet: 6:30 pm

Day 4 (Tuesday, November 21, 2017)

Keynote Presentation-3

Moderator: Lucio Miele

Keynote: 9:00 am – 10:00 am Michael Franklin, University of

Chicago

Title: Big Data Software: What Is Next?



Session 15: Network Science

Session Chair: Danai Koutra


Regular:

1. DM269 Many Heads are Better than One: Local Community Detection by the Multi-

Walker Chain Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang,

2. DM274 Benchmark Generator for Dynamic Overlapping Communities in Networks

Neha Sengupta, Michael Hamann, Dorothea Wagner

3. DM518 Collective Entity Resolution in Familial Networks Pigi Kouki, Jay Pujara,

Christopher Marcum, Laura Koehly, Lise Getoor

4. DM522 Overlapping Community Detection via Constrained PARAFAC: A Divide and

Conquer Approach Georgios B. Giannakis

Short:

1. DM308 iNEAT: Incomplete Network Alignment Si Zhang, Hanghang Tong, Jie

Tang, Jiejun Xu, Wei Fan

2. DM277 Automated Medical Diagnosis by Ranking Clusters Across the Symptom-

Disease Network Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang

3. DM803 Local Community Detection in Dynamic Networks Daniel J. DiTursi,

Gaurav Ghosh, Petko Bogdanov

4. DM947 Network Clocks: Detecting the Temporal Scale of Information Diffusion

Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov

Session 16: Feature Selection and Extraction

Session Chair: Alexander Bernstein


Regular:

1. DM430 AutoLearn - Automated Feature Generation and Selection Ambika Kaul,

Saket Maheshwary, Vikram Pudi

2. DM598 Unsupervised feature learning with discriminative encoder Gaurav Pandey,

Ambedkar Dukkipati

3. DM981 A Hyperplane-based Algorithm for Semi-supervised Dimension Reduction

Huang Fang, Minhao Cheng, Cho-Jui Hsieh

4. DM434 SCED: A General Framework for Sparse Tensor Decomposition with

Constraints and Elementwise Dynamic Learning Shuo Zhou, Sarah M. Erfani, James

Bailey

Short:

1. DM285 Domain Specific Feature Transfer for Hybrid Domain Adaptation WEI

PENGFEI, Ke Yiping, Goh Chi Keong

2. DM681 Kernel-Based Feature Extraction For Collaborative Filtering Saket Sathe,

Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu

3. DM699 Reductions for Frequency-Based Data Mining Problems Stefan Neumann,

Pauli Miettinen

4. DM790 Warehouse Site Selection for Online Retailers in Inter-connected Warehouse

Networks Can Chen, Junming Liu, Qiao Li, Yijun Wang, Hui Xiong, Shanshan Wu

Session 17: Recommender Systems II

Session Chair: Yehuda Koren


Regular:

1. DM287 SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-

Aware Behavior Prediction Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang,

Yang Wang, Quoc Viet Hung Nguyen

2. DM608 Mining Customer Valuations to Optimize Product Bundling Strategy Li

Ye,Hong Xie,Weijie Wu,John C.S. Lui

3. DM643 Visually-Aware Fashion Recommendation and Design with Generative Image

Models Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian McAuley

4. DM892 Relational Mixture of Experts: Explainable Demographics Prediction with

Behavioral Data Masafumi Oyamada, Shinji Nakadai

Short:

1. DM384 Multi-level Feedback Web Links Selection Problem: Learning and

Optimization Kechao Cai, Kun Chen, Longbo Huang, John C.S. Lui

2. DM418 Collaborative Inference of Coexisting Information Diffusions Yanchao Sun,

Cong Qian, Ning Yang, Philip S. Yu

3. DM664 An Automatic Approach for Transit Advertising in Public Transportation

Systems Chen Zhang,Hao Wang,Hui Xiong

4. DM816 Learning Multiple Similarities of Users and Items in Recommender Systems

Huiyuan Chen, Jing Li

Tutorial 3 (10:30 am – 1:00 pm)

Mining Misinformation in Social Media: Understanding Its Rampant Spread,

Harm, and Intervention

by Liang Wu, Giovanni Luca Ciampaglia, Filippo Menczer and Huan Liu

ICDM Community Meeting with Lunch 12:30 pm – 2:00 pm

(Lunch provided by the Conference)

Student Travel Awards

ICDM '17 & '18

Citi Talk: Big Data in Credit Cards

Cisco Talk: Application Performance Management and Deep Learning


Session 18: Social Networks

Session Chair: Xiaowei Xu


Regular:

1. DM365 GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-

Association on Directed Graphs Binghui Wang, Neil Zhenqiang Gong, Hao Fu

2. DM609 BL-MNE: Emerging Heterogeneous Social Network Embedding through

Broad Learning with Aligned Autoencoder Jiawei Zhang, Congying Xia, Chenwei

Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu

Short:

1. DM653 SLANT+ : A Nonlinear Model for Opinion Dynamics in Social Networks

Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya,, Niloy Ganguly

2. DM779 Mining the Demographics of Political Sentiment from Twitter Using Learning

from Label Proportions Ehsan Mohammady Ardehaly, Aron Culotta

3. DM368 The Many Faces of Link Fraud Neil Shah, Hemank Lamba, Alex Beutel,

Christos Faloutsos

Session 19: Multi-view and Multimodal Learning

Session Chair: Ryan G. Benton


Regular:

1. DM244 A Randomized Approach for Crowdsourcing in the Presence of Multiple

Views Yao Zhou,Jingrui He

2. DM284 HiMuV: Hierarchical Framework for Modeling Multi-Modality Multi-

Resolution Data Jianboi Li, Jingrui He, Yada Zhu

Short:

1. DM520 EC3: Combining Clustering and Classification for Ensemble Learning

Tanmoy Chakraborty

2. DM622 Multi-view Graph Embedding with Hub Detection for Brain Network Analysis

Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin,

3. DM671 Multi-Level Multi-Task Learning for Modeling Cross-Scale Interactions in

Nested Geospatial Data Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, Emi Fergus, Tyler

Wagner,, Patricia Soranno

4. DM714 Multimodal Content Analysis for Effective Advertisements on YouTube

Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph

Johnson, Gang Ren, Srinivasan Parthasarathy

5. DM781 Multi-level Multiple Attentions for Contextual Multimodal Sentiment

Analysis Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Mazumder,

Amir Zadeh, Louis-Philippe Morency

Session 20: Event Mining and Anomaly Detection

Session Chair: Kun Zhang


Regular:

1. DM789 STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event

Detection Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher

Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry Drake,

Haesun Park, Jaegul Choo

2. DM959 Multi-task Multi-modal Models for Collective Anomaly Detection Tsuyoshi

Ide, Dzung T. Phan, Jayant Kalagnanam

3. DM523 Split Miner: Discovering Accurate and Simple Business Process Models from

Event Logs Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa

Short:

1. DM424 BEEP: a Bayesian perspective Early stage Event Prediction model for online

social networks Xiao Ma, Xiaofeng Gao, Guihai Chen

2. DM278 Ranking Causal Anomalies by Modeling Local Propagations on Networked

Systems Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen,

Xiang Zhang

3. DM994 Behind Distribution Shift: Mining Driving Forces of Changes and Causal

Arrows Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour,

Bernhard Schölkopf

Session 21: Sequences and Time Series II

Session Chair: Alfredo Cuzzocrea


Regular:

1. DM948 Efficient Discovery of Time Series Motifs with Large Length Range in

Million Scale Time Series Yifeng Gao, Jessica Lin

2. DM537 Matrix Profile VI: Meaningful Multidimensional Motif Discovery Chin-Chia

Michael Yeh, Nickolas Kavantzas, Eamonn Keogh

Short:

1. DM314 Generating synthetic time series to augment sparse datasets Germain

Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn Keogh

2. DM509 Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies

Eric Chu, Deb Roy

3. DM547 Time-aware Latent Hierarchical Model for Predicting House Prices Fei Tan,

Chaoran Cheng, Zhi Wei

Coffee break: 3:30 pm – 4:00 pm

Conf. Panel Session: 4:00 pm – 5:00 pm

Moderators: Naren Ramakrishnan and Myra Spiliopoulou

Title: Data Science and Ethics when Dealing with Social Data

Panelists:

- Huan Liu, Arizona State Univ, USA

- Tanu Mitra, Virginia Tech Univ, USA

- Eirini Ntoutsi, Univ Hannover, Germany

- Jilles Vreeken, MPG Germany

ICDM2017 Sponsors

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