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Schedule
8:55AM Welcome 9:00AM 6 full paper presentations (60 minutes) S34204 full paper Contrast Pattern Based Algorithms for Visualizing and Predicting Spatiotemporal Events
Dawei WangS34209 full paper Selecting Machine Learning Algorithms using Regression Models
Tri Doan and Kalita JugalS34213 full paper Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection
Yanjie Fu and Hui XiongS34230 full paper Crowdsourcing based API Search via Leveraging Twitter Lists Information
Tingting Liang, Liang Chen, Haochao Ying, Zibin Zheng, and Jian WuS34223 full paper Learning Spatial Decision Trees for Land Cover Mapping
Zhe JiangS34221 full paper Deep Learning for Image Retrieval: What Works and What Doesn’t
Huafeng Wang, Yehe Cai, Yanxiang Zhang, Haixia Pan, Weifeng Lv, Hao Han10:00AM Coffee 10:15AM Panel Dr. Xindong Wu (Professor & ICDM Steering Committee Chair, University of Vermont, USA)
Dr. Zhi-Hua Zhou (Professor & ICDM PC Chair, Nanjing University, China),
Dr. Nikolaj Tatti (Postdoctoral Researcher, Aalto University School of Science, Finland)11:20AM 5 full paper presentations (50 minutes) & 4 short paper presentations (20 minutes) S34238 full paper Understanding Deep Networks with Gradients
Henry Lo and Wei DingS34243 full paper Accurate classification of biological data using ensembles
Manju Bhardwaj, Debasis Dash, and Vasudha BhatnagarDM573 full paper Reporting $l$ Most Favorite Objects in Uncertain Databases with Probabilistic Reverse Top-$k$ Queries
Guoqing Xiao, Kenli Li, and Keqin LiDM648 full paper Subspace Model based Discriminative Instances Selection for Weakly Supervised Object Detection
Qiaoying Huang, Xiaofeng Zhang, and Kui JiaDM675 full paper Enhancing Stock Price Prediction With A Hybrid Approach Based On Extreme Learning Machine
Feng Wang, Yongquan Zhang, Hang Xiao, and Li KuangS34226 short paper Probabilistic Models for Fine-Grained Truth Discovery from Massive Crowdsourced Data
Fenglong Ma and Jing GaoS34227 short paper Multi-Source Information Trustworthiness Analysis
Houping Xiao and Jing GaoS34236 short paper Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics
Anuj Karpatne and Vipin KumarS34233 short paper Near-linear online change detection algorithm for noisy time series
Xi Chen, Vipin Kumar, and James Faghmous12:30PM Lunch 2:00PM Re-Welcome 2:05PM Dr. Pauli Miettinen [Senior Researcher, Max-Planck-Institut für Informatik, Germany] 3:05PM 8 short papers presentation (40 minutes) S34201 short paper Context Suggestion: Solutions and Challenges
Yong ZhengS34205 short paper Prediction of Long-Lead Heavy Precipitation Events Aided by Machine Learning
Yahui DiS34207 short paper RORS: A Revenue-Optimized Recommender System
Chong Wang, Achir Kalra, Yi Chen, and Cristian BorceaS34218 short paper Sentiment Analysis for Social Media Images
Yilin WangS34219 short paper Secure learning and mining in adversarial environments
Bo LiS34222 short paper Latent Graph Inference and Validation
Ivan BrugereS34232 short paper Enhancing network security by software vulnerability detection using social media analysis
Dennis KerglS34235 short paper Clustering Evolving Batch System Jobs for Online Anomaly Detection
Eileen Kuehn3:45PM Coffee 4:00PM Panel Dr. Aidong Zhang (Professor & NSF Program Director, University at Buffalo, The State University of New York, USA)
Dr. Tina Eliassi-Rad (Associate Professor, Rutgers University, USA)
Dr. Hui Xiong (Professor & ICDM General Chair, Rutgers University)5:00PM Closing
Leman Akoglu SUNY - Stony Brook University, USA |
Wei Ding University of Massachussets Boston, USA |
Bahar Akbal | University of Massachusetts Boston | USA |
Fabrizio Angiulli | DIMES, University of Calabria | Italy |
Bart Baesens | KBI - Management Informatics | Belgium |
Abraham Bagherjeiran | Amazon.com | USA |
Alex Beutel | CMU | United States |
Albert Bifet | Huawei | Hong Kong |
Petko Bogdanov | University at Albany - SUNY | United States |
Yu Cao | The University of Massachusetts Lowell | U.S.A |
Oner Celepcikay | University of Houston, Computer Science Dept | USA |
Feng Chen | University at Albany-SUNY | USA |
Yanping Chen | Xi'an Jiaotong University | China |
Li-chen Cheng | Soochow University | Taiwan |
Xiaohui Cui | Wuhan University | China |
Tina Eliassi-Rad | Rutgers University | US |
Yun Fu | Northeastern University | United States |
Jing Gao | SUNY Buffalo | USA |
Gabriel Ghinita | University of Massachusetts Boston | USA |
Aristides Gionis | Aalto University | Finland |
Weiwei GONG | Oracle | USA |
Hansu Gu | Seagate Technology | USA |
Mohammad Hasan | Indiana University-Purdue University Indianapolis | USA |
Bing Hu | Samsung | U.S.A |
Ke Huang | Microsoft | USA |
Rachsuda Jiamthapthaksin | Assumption University of Thailand | Thailand |
Feng Li | Microsoft | USA |
Fei Liu | Carnegie Mellon University | USA |
Huan Liu | Arizona University | USA |
David Sergio Matusevich | University of Houston | USA |
Yang Mu | University of Massachusetts Boston | USA |
Abdullah Mueen | University of New Mexico | United States |
Josephine Namayanja | University of Massachusetts, Boston | USA |
Raymond T. Ng | University of British Columbia | Canada |
Brendan O'Connor | University of Massachusetts Amherst | USA |
Ming Ouyang | University of Massachusetts Boston | USA |
Mykola Pechenizkiy | Technical University Eindhoven | Netherlands |
Chen Ping | University of Massachusetts Boston | USA |
B. Aditya Prakash | Virginia Tech | USA |
Benjamin Roth | University of Massachusetts Amherst | USA |
Dafna Shahaf | Stanford University | USA |
Shengli Sheng | University of Central Arkansas | USA |
Michael Steinbach | University of Minnesota | USA |
Partha Pratim Talukdar | Indian Institute of Science | India |
Matthijs van Leeuwen | Department of Computer Science, KU Leuven | Belgium |
Rosanne Vetro | Seres Therapeutics | USA |
Dawei Wang | University of Massachusetts Boston | USA |
Sujing Wang | Lamar University | USA |
Tong Wang | University of Massachusetts Boston | USA |
Yinghui Wu | Washington State University | USA |
Youxi Wu | Hebei University of Technology | China |
Chung-Hsien Yu | University of Massachusetts Boston | USA |
Kui Yu | Simon Fraser University | Canada |
Kourosh Zarringhalam | University of Massachusetts Boston | USA |
Yan Zhang | Microsoft | USA |
Jiayu Zhou | Michigan State University | USA |
Xun Zhou | The University of Iowa | USA |
The 15th IEEE International Conference on Data Mining (IEEE ICDM 2015) provides a PhD forum to be held for the fifth time in conjunction with the international conference on data mining. The topics of the discussion at the forum would be the dissertation proposals of the PhD students and their work in progress towards their dissertation. The PhD Forum spans various topics of data mining and work in related fields such as databases, artificial intelligence, statistics, information retrieval, multimedia and the Web. Data mining in specific domains such as bioinformatics and the more general science informatics are also encouraged. Participants with interdisciplinary work across the areas are particularly welcome.
The PhD Forum will include proceedings consisting of papers describing the work of the doctoral students. Please see the deadlines for draft paper submission and camera-ready papers. During the workshop, researchers with experience in supervising and examining PhD students will be able to participate and provide feedback and advice to the participants.
Important Dates
Submission date: Jul 20, 2015 Aug 14, 2015 Past Due
Notification date: Sep 1, 2015
Camera-ready deadline: Sep 10, 2015
Phd Forum date: Nov 14, 2015
*All deadlines are at 11:59PM Pacific Daylight Time.
Submission
The submissions should propose research ideas that are mature enough to be presented into a paper and whose content can evolve to become the substantial part of a PhD dissertation. The authors should be PhD students or Masters students aspiring to get a PhD and having in mind a clear idea of a proposal. Students could also submit work on one or more sub-problems of their dissertation. Papers should address research issues in their PhD proposal by focusing on challenges deriving from them and on their originality. They could also include proposed techniques meant to solve the given problems. Preliminary experimental evaluation should be included. Authors of accepted submissions are expected to participate in person to the Forum, together with their advisor. All submissions will be single-blind reviewed by the PhD Forum Committee.
The PhD forum is open for two types of submissions:
- Regular papers should present established research with enough scientific contribution to the field (at most 10 pages in length).
- Extended abstracts are meant for ongoing research that is expected to provide further advances in the future (2 pages in length).
How to Write a Research Paper?
What are the top reasons that papers get rejected? What makes a paper compelling? Learn about the importance of clarity, organization, figures, and presentation. Find out why mastery of the English language is NOT the most important factor in writing top quality research papers.
10:15 AM - 11:20AM
Saturday November 14, 2015
Dr. Xindong Wu
Professor & ICDM Steering Committee Chair
University of Vermont, USA
Dr. Zhi-Hua Zhou
Professor & ICDM PC Chair
Nanjing University, China
Dr. Nikolay Tatti
Postdoctoral Researcher
Aalto University School of Science, Finland
Life after PhD
As a PhD in data science, there are many opportunities that lay before you, and evaluating them may be difficult. Hear experts discuss how to navigate academia, how to thrive in industry, and about alternate paths. The world is yours with a data science degree. Let this talk be your guide!
4:00 PM - 5:00 PM
Saturday November 14, 2015
Dr. Aidong Zhang
Professor & NSF Program Director
University at Buffalo, The State University of New York, USA
Dr. Tina Eliassi-Rad
Associate Professor
Rutgers University, USA
Dr. Hui Xiong
Professor & ICDM General Chair
Rutgers University, USA
How to Enjoy and Survive PhD
The PhD program is often a student’s first introduction to the sometimes chaotic world of academia. You have to keep your committee, advisors, collaborators, and most importantly yourself happy. Should you spend more time doing research, doing outreach, teaching, or learning? This talk will teach you the many goals, tasks and interests that a PhD student has to juggle, how to evaluate what your priorities are, and how to handle them successfully with discipline and organization.
2:05 PM - 3:05 PM
Saturday November 14, 2015
Dr. Pauli Mittenen
Senior Researcher
Max-Planck-Institut für Informatik, Germany