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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.