Program > Papers
Instructions for Authors
POSTER SPECIFICATIONS
The poster boards available at the conference will be: 4 ft x 8 ft. Each poster board will hold TWO actual posters (i.e., papers). Each poster will have an area of 3.75 ft x 3 ft available for its presentation. You are free to use a single large sheet of paper or a set of slides, as long as you restrict yourself to the above area in the board.
Poster space will be pre-assigned (you will know about your location on-site) and the space will be available for setup a few hours before the poster session.
Here's an example of the poster setup (from last year):
(1) RESEARCH TRACK ACCEPTED PAPERS
(A) FULL PAPERS
- Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge
Authors: Szymon Jaroszewicz, Dan Simovici
- Rapid Detection of Significant Spatial Clusters
Authors: Daniel Neill, Andrew Moore
- Clustering time series from ARMA models with clipped data
Authors: Anthony Bagnall, Gareth Janacek
- Mining the Space of Graph Properties
Authors: Glen Jeh, Jennifer Widom
- Fast Discovery of 'Connection Subgraphs'
Authors: Christos Faloutsos, Kevin McCurley, Andrew Tomkins
- Regularized Multi-Task Learning
Authors: Theodoros Evgeniou, Massimiliano Pontil
- Systematic Data Selection to Mine Concept-drifting Data Streams
Authors: Wei Fan
- Cyclic Pattern Kernels for Predictive Graph Mining
Authors: Tamas Horvath, Thomas Gaertner, Stefan Wrobel
- Incorporating Prior Knowledge with Weighted Margin Support Vector Machines
Authors: Xiaoyun Wu, Rohini Srihari
- Mining and Summarizing Customer Reviews
Authors: Minqing Hu, Bing Liu
- Discovering Complex Matchings across Web Query Interfaces: A Correlation Mining Approach
Authors: Bin He, Kevin Chen-Chuan Chang, Jiawei Han
- Support Envelopes: A Technique for Exploring the Structure of Association Patterns
Authors: Michael Steinbach, Pang-Ning Tan, Vipin Kumar
- Towards Parameter-Free Data Mining
Authors: Eamonn Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana
- Selection, Combination, and Evaluation of Effective Software Sensors for Detecting Abnormal Computer Usage
Authors: Jude Shavlik, Mark Shavlik
- Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions
Authors: Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard Helm
- The Complexity of Mining Maximal Frequent Itemsets and Maximal Frequent Patterns
Authors: Guizhen Yang
- Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly
Correlated Pairs
Authors: Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
- Fully Automatic Cross-Associations
Authors: Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra Modha, Christos Faloutsos
- Adversarial Classification
Authors: Nilesh Dalvi, Pedro Domingos, Mausam, Sumit Sanghai, Deepak Verma
- GPCA: An Efficient Dimension Reduction Scheme for Image Compression and Retrieval
Authors: Jieping Ye, Ravi Janardan, Qi Li
- IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition
Authors: Jieping Ye, Qi Li, Hui Xiong, Park Haesun, Ravi Janardan, Vipin Kumar
- Recovering Latent Time-Series from their Observed Sums: Network Tomography with Particle Filters
Authors: Edoardo Airoldi, Christos Faloutsos
- Mining, Indexing, and Querying Historical Spatiotemporal Data
Authors: Nikos Mamoulis, Huping Cao, George Kollios, Marios Hadjieleftheriou, Yufei Tao, David W. L. Cheung
- Web Usage Mining Based on Probabilistic Latent Semantic Analysis
Authors: Xin Jin, Yanzan Zhou, Bamshad Mobasher
- Fast Mining of Spatial Collocations
Authors: Xin Zhang, Nikos Mamoulis, David W. L. Cheung, Yutao Shou
- Incremental Maintenance of Quotient Cube for Median
Authors: Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wang
- A Graph-Theoretic Approach to Extract Storylines from Search Results
Authors: Ravi Kumar, Uma Mahadevan, D. Sivakumar
- Probabilistic Author-Topic Models for Information Discovery
Authors: Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, Thomas Griffiths
- Mining Reference Tables for Automatic Text Segmentation
Authors: Eugene Agichtein, Venkatesh Ganti
- On the Discovery of Significant Statistical Quantitative Rules
Authors: Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin
- Approximating a Collection of Frequent Sets
Authors: Foto Afrati, Aristides Gionis, Heikki Mannila
- Machine Learning for Online Query Relaxation
Authors: Ion Muslea
- A Probabilistic Framework for Semi-Supervised Clustering
Authors: Sugato Basu, Mikhail Bilenko, Raymond Mooney
- Efficient Closed Pattern Mining in the Presence of Tough Block Constraints
Authors: Krishna Gade, Jianyong Wang, George Karypis
- Exploiting Dictionaries in Named Entity Extraction: Combining SemiMarkov
Extraction Processes and Data Integration Methods
Authors: William Cohen, Sunita Sarawagi
- Scalable Mining Large Disk-Based Graph Databases
Authors: Chen Wang, Wei Wang, Jian Pei, Yongtai Zhu, Baile Shi
- A Bayesian Network Framework for Reject Inference
Authors: Andrew Smith, Charles Elkan
- An Iterative Method for Multi-Class Cost-Sensitive Learning
Authors: Naoki Abe, Bianca Zadrozny
- Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria
Authors: Richard Caruana, Alex Niculescu-Mizil
- Fast Galactic Morphology via Eigenimages
Authors: Brigham Anderson, Andrew Moore, Andrew Connolly, Bob Nichol
(B) POSTER PAPERS
- Extending the Notion of Support
Authors: Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
- When Do Data Mining Results Violate Privacy?
Authors: Murat Kantarcioglu, Jiashun Jin, Chris Clifton
- A generative probabilistic approach to visualizing sets of symbolic sequences
Authors: Peter Tino, Ata Kaban, Yi Sun
- A Data Mining Approach to Modeling Relationships among Categories in Image Collection
Authors: Ruofei Zhang, Zhongfei (Mark) Zhang
- Sleeved coClustering
Authors: Avraham Melkman, Eran Shaham
- Discovering Additive Structure in Black Box Functions
Authors: Giles Hooker
- A New Privacy Model and Association-Rule Mining Algorithm for Large-Scale Distributed Environments
Authors: Bobi Gilburd, Assaf Schuster, Ran Wolff
- The IOC algorithm: Efficient Many-Class Non-parametric Classification for High-Dimensional Data
Authors: Ting Liu, Ke Yang, Andrew Moore
- IMMC: Incremental Maximum Margin Criterion
Authors: Jun Yan, Benyu Zhang, Shuicheng Yan, Zheng Chen, Fan Weiguo, Qiang Yang, Ma Wei-Ying, Qiansheng Cheng
- On Demand Classification of Data Streams
Authors: Charu Aggarwal, Jiawei Han, Jianyong Wang, Philip Yu
- Dense Itemsets
Authors: Jouni K. Seppänen, Heikki Mannila
- 2PXMiner - Efficient Mining of Frequent XML Query Patterns with Repeated Siblings
Authors: Liang-Huai Yang, Mong Li Lee, Wynne Hsu
- On Detecting Space-Time Clusters
Authors: Vijay Iyengar
- Cluster-based Concept Invention for Statistical Relational Learning
Authors: Alexandrin Popescul, Lyle Ungar
- Mining Scale-free Networks using Geodesic Clustering
Authors: Andrew Wu, Michael Garland, Jiawei Han
- Privacy-Preserving Bayesian Network Structure Computation on Distributed Heterogeneous Data
Authors: Rebecca Wright, Zhiqiang Yang
- Parallel Computation of High Dimensional Robust Correlation and Covariance Matrices
Authors: Alan Wagner, James Chilson, Raymond Ng, Ruben Zamar
- Automatic Multimedia Cross-modal Correlation Discovery
Authors: Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, Pinar Duygulu
- Locating Secret Messages in Images
Authors: Ian Davidson, Goutam Paul
- Diagnosing Extrapolation: Tree-Based Density Estimation
Authors: Giles Hooker
- IncSpan: Incremental Mining of Sequential Patterns in Large Database
Authors: Hong Cheng, Xifeng Yan, Jiawei Han
- Identifying Early Buyers from Purchase Data
Authors: Paat Rusmevichientong, Shenghuo Zhu, David Selinger
- Optimal Randomization for Privacy Preserving Data Mining
Authors: Yu Zhu, Lei Liu
- A DEA Approach for Model Combination
Authors: Eric Zheng, Balaji Padamanabhan
- Learning Spatially Variant Dissimilarity (SVaD) Measures
Authors: Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agrawal
- Ordering Patterns by Combining Opinions from Multiple Sources
Authors: Pang-Ning Tan, Rong Jin
- Semantic Representation, Search and Mining of Multimedia Content
Authors: Apostol Natsev, Milind Naphade, John R. Smith
- SPIN: Mining Maximal Frequent Subgraphs from Graph Databases
Authors: Jun Huan, Wei Wang, Jan Prins, Jiong Yang
- An Objective Evaluation Criterion for Clustering
Authors: Arindam Banerjee, John Langford
- Clustering Moving Objects
Authors: Yifan Li, Jiawei Han, Jiong Yang
- Rotation Invariant Measures for Trajectories
Authors: Michail Vlachos, Dimitrios Gunopulos, Gautam Das
- A Framework for Ontology-Driven Subspace Clustering
Authors: Jinze Liu, Wei Wang, Jiong Yang
- A Quickstart in Frequent Structure Mining can make a difference
Authors: Siegfried Nijssen, Joost N. Kok
- Why Collective Inference Improves Relational Classification
Authors: David Jensen, Jennifer Neville, Brian Gallagher
- Privacy Preserving Regression Modelling via Distributed Computation
Authors: Ashish Sanil, Alan Karr, Xiaodong Lin, Jerome Reiter
- Column-Generation Boosting Methods for Mixture of Kernels
Authors: Jinbo Bi, Tong Zhang, Kristin Bennett
- Redundancy Based Feature Selection for Microarray Data
Authors: Lei Yu, Huan Liu
- Improved Robustness of Signature-Based Near-Replica Detection Via Lexicon Randomization
Authors: Aleksander Kolcz, Abdur Chowdhury, Joshua Alspector
- Estimating the Size of the Telephone Universe: A Bayesian Mark-Recapture Approach
Authors: David Poole
- Belief State Approaches to Signaling Alarms in Surveillance Systems
Authors: Kaustav Das, Jeff Schneider
- A Unified View of Kernel k-means, Spectral Clustering and Graph Cuts
Authors: Brian Kulis, Yuqiang Guan, Inderjit Dhillon
- A Cross-Collection Mixture Model for Comparative Text Mining
Authors: ChangXiang Zhai, Atulya Velivelli, Bei Yu
- A Microeconomic Data Mining Problem: Customer-Oriented Catalog Segmentation
Authors: Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
- A Generalized Maximum Entropy Approach to Bregman Co-clusteringand Matrix Approximation
Authors: Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra Modha
(2) INDUSTRIAL TRACK ACCEPTED PAPERS
(A) FULL PAPERS
- TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture
Authors: Kamal Ali, Wijnand Van Stam
- V-Miner: Using Enhanced Parallel Coordinates to Mine Product Design and TestData
Authors: Kaidi Zhao, Bing Liu, Thomas Tirpak, Andreas Schaller
- Early Detection of Insider Trading in Option Markets
Authors: Steve Donoho
- Density-Based Spam Detector
Authors: Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu
Fujikawa, Katsuyuki Yamazaki
- Visually Mining and Monitoring Massive Time Series
Authors: Jessica Lin, Jeff Lankford, Eamonn Keogh, Stefano Lonardi
- A Rank Sum Test Method for Informative Gene Discovery
Authors: Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
- Learning to Detect Malicious Executables in the Wild
Authors: Jeremy Kolter, Marcus A. Maloof
- Interactive Training of Advanced Classifiers for Mining Remote Sensing Image Archives
Authors: Selim Aksoy, Krzysztof Koperski, Giovanni Marchisio, Carsten Tusk
- Predicting Customer Grocery Shopping Lists from POS Purchase Data
Authors: Chad Cumby, Andy Fano, Rayid Ghani, Marko Krema
- Eigenspace-based Anomaly Detection in Computer Systems
Authors: Tsuyoshi Ide, Hisashi Kashima
- Mining Coherent Gene Clusters from Three-Dimensional Microarray Data
Authors: Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang
- Predicting Prostate Cancer Recurrence via Maximizing the Concordance Index
Authors: Lian Yan, David Verbel, Olivier Saidi
- Effective Localized Regression for Damage Detection in Large Complex Mechanical Structures
Authors: Aleksander Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar Tamma
(B) POSTER PAPERS
- A General Approach to Incorporate Data Quality Matrices into Data Mining Algorithms
Authors: Ian Davidson, Ashish Grover, Ashwin Satyanarayana, Giri Tayi
- Tracking Dynamics of Topic Trends Using a Finite Mixture Model
Authors: Satoshi Morinaga, Kenji Yamanishi
- ANN Quality Diagnostic Models for Packaging Manufacturing: An Industrial Data Mining Case Study
Authors: Nicolas de Abajo, Alberto B. Diez, Vanesa Lobato, Sergio R. Cuesta
- Programming the K-means Clustering Algorithm in SQL
Authors: Carlos Ordonez
- Document Preprocessing For Naive Bayes Classification and Clustering with Mixture of Multinomials
Authors: Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh
- Mining Traffic Data from Probe-Car System for Travel Time Prediction
Authors: Takayuki Nakata, Jun-ichi Takeuchi
- 1-Dimensional Splines as Building Blocks for Improving Accuracy of Risk Outcomes Models
Authors: David Vogel, Morgan Wang
- Learning a Complex Metabolomic Dataset Using Random Forests and Support Vector Machines
Authors: Young Truong, Chris Beecher, Adele Cutler, Leanna House, Xiaodong Lin, Stanley Young
- Feature Selection in Scientific Applications
Authors: Erick Cantu-Paz, Shawn Newsam, Chandrika Kamath
- Cross Channel Optimized Marketing by Reinforcement Learning
Authors: Naoki Abe, Naval Verma, Chidanand Apte, Robert Schroko
- A System for Automated Mapping of Bill-of-Material Part Numbers
Authors: Jayant Kalagnanam, Moninder Singh, Sudhir Verma, Michael Patek, Yuk Wah Wong
- Analytical View of Business Data
Authors: Adam Yeh, Jonathan Tang, Youxuan Jin
- Exploring the Community Structure of Newsgroups
Authors: Christian Borgs, Jennifer Chayes, Mohammad Mahdian, Amin Saberi
For previous details about the call for papers, see our archives.
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