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ORCID9th ICDM Workshops 2009: Miami, Florida, USA
- Yücel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu:
ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3902-7
Domain Driven Data Mining
- Mohammad Salim Ahmed, Latifur Khan
:
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering. 1-6 - Stefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani:
High Quality True-Positive Prediction for Fiscal Fraud Detection. 7-12 - Toon Calders, Faisal Kamiran, Mykola Pechenizkiy:
Building Classifiers with Independency Constraints. 13-18 - Jonathan Klinginsmith, Malika Mahoui, Yuqing Wu, Josette F. Jones:
Discovering Domain Specific Concepts within User-Generated Taxonomies. 19-24 - Wei Liu, Sanjay Chawla:
A Game Theoretical Model for Adversarial Learning. 25-30 - Fumiya Nakagaito, Tomonobu Ozaki, Takenao Ohkawa:
Discovery of Quantitative Sequential Patterns from Event Sequences. 31-36 - Houssam Nassif, Ryan W. Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page:
Information Extraction for Clinical Data Mining: A Mammography Case Study. 37-42 - Thao Pham Thanh Nguyen, Takahiro Hayashi, Rikio Onai, Yuhei Nishioka, Takamasa Takenaka, Masaya Mori:
A New Minimally Supervised Learning Method for Semantic Term Classification - Experimental Results on Classifying Ratable Aspects Discussed in Customer Reviews. 43-50 - Yakub Sebastian, Brian Chung Shiong Loh, Patrick Hang Hui Then:
A Paradigm Shift: Combined Literature and Ontology-Driven Data Mining for Discovering Novel Relations in Biomedical Domain. 51-57 - Masaki Shinoda, Tomonobu Ozaki, Takenao Ohkawa:
Weighted Frequent Subgraph Mining in Weighted Graph Databases. 58-63 - Daria Sorokina, Rich Caruana, Mirek Riedewald, Wesley M. Hochachka, Steve Kelling:
Detecting and Interpreting Variable Interactions in Observational Ornithology Data. 64-69 - Peerapon Vateekul, Kanoksri Sarinnapakorn:
Tree-Based Approach to Missing Data Imputation. 70-75 - Shuo Wang, Xin Yao:
Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning. 76-81 - Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao:
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. 82-87 - Zheng Zhao, Shashvata Sharma, Nitin Agarwal, Huan Liu, Jiangxin Wang, Yung Chang:
Integrating Knowledge in Search of Biologically Relevant Genes. 88-93 - Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy:
Towards Context Aware Food Sales Prediction. 94-99
Privacy Aspects of Data Mining
- Piotr Andruszkiewicz:
Privacy Preserving Classification with Emerging Patterns. 100-105 - Jacob Goldberger, Tamir Tassa:
Efficient Anonymizations with Enhanced Utility. 106-113 - Geetha Jagannathan, Krishnan Pillaipakkamnatt, Rebecca N. Wright:
A Practical Differentially Private Random Decision Tree Classifier. 114-121 - Darakhshan J. Mir, Rebecca N. Wright:
A Differentially Private Graph Estimator. 122-129 - Michal Sramka, Reihaneh Safavi-Naini, Jörg Denzinger:
An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners. 130-137 - Duy Vu, Aleksandra B. Slavkovic:
Differential Privacy for Clinical Trial Data: Preliminary Evaluations. 138-143
Internet Multimedia Mining
- Hrishikesh B. Aradhye, George Toderici, Jay Yagnik:
Video2Text: Learning to Annotate Video Content. 144-151 - Guiguang Ding, Jianmin Wang, Na Xu, Lu Zhang:
Automatic Image Annotations by Mining Web Image Data. 152-157 - Bo Geng, Linjun Yang, Chao Xu:
A Study of Language Model for Image Retrieval. 158-163 - Hao Li, Meng Wang, Xian-Sheng Hua:
MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset. 164-169 - Qifeng Qiao, Peter A. Beling:
Localized Content Based Image Retrieval with Self-Taught Multiple Instance Learning. 170-175 - Kimiaki Shirahama, Chieri Sugihara, Kana Matsumura, Yuta Matsuoka, Kuniaki Uehara:
Mining Event Definitions from Queries for Video Retrieval on the Internet. 176-183 - Si Si, Dacheng Tao, Kwok-Ping Chan:
Cross-Domain Web Image Annotation. 184-189 - Adrian Ulges, Markus Koch, Damian Borth, Thomas M. Breuel:
TubeTagger - YouTube-based Concept Detection. 190-195 - Bo Wang, Jinqiao Wang, Shi Chen, Ling-Yu Duan, Hanqing Lu:
Semantic Linking between Video Ads and Web Services with Progressive Search. 196-201 - Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo:
Mining Personal Image Collection for Social Group Suggestion. 202-207
Knowledge Discovery from Climate Data: Prediction, Extremes and Impacts
- Dima Alberg, Mark Last, Roni Neuman, Avi Sharon:
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data. 208-213 - David Erickson, Jamison Daniel, Melissa R. Allen, Auroop R. Ganguly, Forrest M. Hoffman, Steven Pawson, Lesley Ott, Eric Neilson:
Data Mining Geophysical Content from Satellites and Global Climate Models. 214-216 - Hai Jin, Diansheng Guo:
Understanding Climate Change Patterns with Multivariate Geovisualization. 217-222 - Shih-Chieh Kao, Auroop R. Ganguly, Karsten Steinhaeuser:
Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate. 223-230 - Chris Mattmann, Daniel J. Crichton, Amy Braverman, Dean N. Williams, Michael Gunson, David Woollard, Sean C. Kelly, Michael Cayanan:
A Distributed Computing Infrastructure for the Evaluation of Climate Models Using NASA Observational Data. 231-232 - Kristin Potter, Andrew T. Wilson, Peer-Timo Bremer, Dean N. Williams, Charles M. Doutriaux, Valerio Pascucci, Chris R. Johnson:
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data. 233-240 - Khachik Sargsyan, Cosmin Safta, Bert J. Debusschere, Habib N. Najm:
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities. 241-247 - Raquel Sebastião, Pedro Pereira Rodrigues, João Gama:
Change Detection in Climate Data over the Iberian Peninsula. 248-253 - Dean N. Williams, Charles M. Doutriaux, Robert S. Drach, Renata B. McCoy:
The Flexible Climate Data Analysis Tools (CDAT) for Multi-model Climate Simulation Data. 254-261
Large-Scale Data Mining: Theory and Applications - Long Presentations
- Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda:
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. 262-269 - Ying Chen, W. Scott Spangler, Jeffrey T. Kreulen, Stephen Boyer, Thomas D. Griffin, Alfredo Alba, Amit Behal, Bin He, Linda Kato, Ana Lelescu, Cheryl A. Kieliszewski, Xian Wu, Li Zhang:
SIMPLE: A Strategic Information Mining Platform for Licensing and Execution. 270-275 - Tianyuan Chen, Lei Chang, Jianqing Ma, Wei Zhang, Feng Gao:
HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern Hardware. 276-281 - Wenxuan Gao, Robert L. Grossman, Philip S. Yu, Yunhong Gu:
Why Naive Ensembles Do Not Work in Cloud Computing. 282-289 - B. Aditya Prakash, Mukund Seshadri, Ashwin Sridharan, Sridhar Machiraju, Christos Faloutsos:
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. 290-295 - Dennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel:
Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. 296-301 - Yuk Wah Wong, Dominic Widdows, Tom Lokovic, Kamal Nigam:
Scalable Attribute-Value Extraction from Semi-structured Text. 302-307
Large-Scale Data Mining: Theory and Applications - Short Presentations
- Daniel Gillblad, Rebecca Steinert, Diogo R. Ferreira:
Estimating the Parameters of Randomly Interleaved Markov Models. 308-313 - Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda:
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework. 314-319 - Peerapon Vateekul, Miroslav Kubat:
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. 320-325 - Zuobing Xu, Christopher Hogan, Robert Bauer:
Greedy is not Enough: An Efficient Batch Mode Active Learning Algorithm. 326-331 - Shengqi Yang, Bai Wang, Haizhou Zhao, Bin Wu:
Efficient Dense Structure Mining Using MapReduce. 332-337 - Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu:
Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. 338-343 - Bin Zhao, Changshui Zhang:
Compressed Spectral Clustering. 344-349
Optimization-Based Methods for Emerging Data Mining Problems
- Pritam Chanda, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
Mining of Attribute Interactions Using Information Theoretic Metrics. 350-355 - Shuo Chen, Bin Liu, Mingjie Qian, Changshui Zhang:
Kernel K-means Based Framework for Aggregate Outputs Classification. 356-361 - Hongliang Fei, Brian Quanz, Jun Huan:
GLSVM: Integrating Structured Feature Selection and Large Margin Classification. 362-367 - Chengying Mao:
An Effective Network Partitioning Algorithm Based on Two-Point Diffusing Strategy. 368-373 - Gregory M. Moore, Charles Bergeron, Kristin P. Bennett:
Nonsmooth Bilevel Programming for Hyperparameter Selection. 374-381 - Jana Novovicová, Petr Somol, Pavel Pudil:
A New Measure of Feature Selection Algorithms' Stability. 382-387 - Kunal Punera, Suju Rajan:
Improved Multi Label Classification in Hierarchical Taxonomies. 388-393 - Mingjie Qian, Feiping Nie, Changshui Zhang:
Probabilistic Labeled Semi-supervised SVM. 394-399 - Rui Wang, Ke Tang:
Feature Selection for Maximizing the Area Under the ROC Curve. 400-405 - Dan Zhang, Luo Si:
Multiple Instance Transfer Learning. 406-411
Transfer Mining
- Hidenao Abe, Shusaku Tsumoto:
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules. 412-415 - Wei Bi, Yuan Shi, Zhen-zhong Lan:
Transferred Feature Selection. 416-421 - Eric Eaton, Marie desJardins:
Set-Based Boosting for Instance-Level Transfer. 422-428 - Evan Wei Xiang, Nathan Nan Liu, Sinno Jialin Pan, Qiang Yang:
Knowledge Transfer among Heterogeneous Information Networks. 429-434 - Pu Wang, Carlotta Domeniconi:
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge. 435-440 - Fei Wang, Tao Li:
Knowledge Transformation by Cross-Domain Belief Propagation. 441-446 - Indre Zliobaite, Ludmila I. Kuncheva:
Determining the Training Window for Small Sample Size Classification with Concept Drift. 447-452
Semantic Aspects in Data Mining
- Cláudia Antunes:
Pattern Mining over Star Schemas in the Onto4AR Framework. 453-458 - Ahmed K. Farahat, Mohamed S. Kamel:
Document Clustering Using Semantic Kernels Based on Term-Term Correlations. 459-464 - Nizar R. Mabroukeh, Christie I. Ezeife:
Semantic-Rich Markov Models for Web Prefetching. 465-470 - Amir Hossein Razavi, Stan Matwin, Diana Inkpen, Alexandre Kouznetsov:
Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge Extraction. 471-476 - Shady Shehata:
A WordNet-Based Semantic Model for Enhancing Text Clustering. 477-482 - Chengcui Zhang, Richa Tiwari, Wei-bang Chen:
A Data Mining Method to Extract and Rank Papers Describing Coexpression Predicates Semantically. 483-488
Mining Multiple Information Sources
- Bahareh Bina, Oliver Schulte, Hassan Khosravi:
LNBC: A Link-Based Naive Bayes Classifier. 489-494 - Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol Kargupta, Kirk D. Borne, Codrina Lauth, Florian Holz, Gerhard Heyer:
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents. 495-500 - Germain Forestier, Cédric Wemmert, Pierre Gançarski, Jordi Inglada:
Mining Multiple Satellite Sensor Data Using Collaborative Clustering. 501-506 - Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald:
Feature Selection with High-Dimensional Imbalanced Data. 507-514 - Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj C. Oza, Jaideep Srivastava:
Theoretically Optimal Distributed Anomaly Detection. 515-520 - Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glänzel:
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. 521-526 - Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa:
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets. 527-532 - Tomonobu Ozaki, Takenao Ohkawa:
Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured Databases. 533-538 - Guangzhi Qu, Hui Wu:
Bucket Learning: Improving Model Quality through Enhancing Local Patterns. 539-544 - Lisa Tan, Farshad Fotouhi, William I. Grosky, Horia F. Pop, Noureddine Mouaddib:
Improving Similarity Join Algorithms Using Fuzzy Clustering Technique. 545-550 - Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya:
Mining Data from Multiple Software Development Projects. 551-557 - Jianfei Wu, Anne Denton, Omar el Ariss, Dianxiang Xu:
Mining for Core Patterns in Stock Market Data. 558-563
Spatial and Spatiotemporal Data Mining - Regular Papers
- Matthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew H. Fagg, Amy McGovern:
Spatio-temporal Multi-dimensional Relational Framework Trees. 564-570 - Guido Cervone, Anthony Stefanidis, Pasquale Franzese, Peggy Agouris:
Spatiotemporal Modeling and Monitoring of Atmospheric Hazardous Emissions Using Sensor Networks. 571-576 - Cheng Chang, Baoyao Zhou:
Multi-granularity Visualization of Trajectory Clusters Using Sub-trajectory Clustering. 577-582 - Arie Croitoru:
Deriving Low-Level Steering Behaviors from Trajectory Data. 583-590 - Diansheng Guo:
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering. 591-596 - Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh:
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. 597-603 - Shrikant Kashyap, Sujoy Roy, Mong-Li Lee, Wynne Hsu:
FARM : Feature-Assisted Aggregate Route Mining in Trajectory Data. 604-609 - Mirco Nanni, Roberto Trasarti:
K-BestMatch Reconstruction and Comparison of Trajectory Data. 610-615 - Dhaval Patel, Chidansh Amitkumar Bhatt, Wynne Hsu, Mong-Li Lee, Mohan S. Kankanhalli:
Analyzing Abnormal Events from Spatio-temporal Trajectories. 616-621 - Anthony Stefanidis, Caixia Wang, Xu Lu, Kevin M. Curtin:
Multilayer Scene Similarity Assessment. 622-629 - Timothy A. Supinie, Amy McGovern, John K. Williams, Jennifer Abernethy:
Spatiotemporal Relational Random Forests. 630-635 - Hyunjin Yoon, Cyrus Shahabi:
Accurate Discovery of Valid Convoys from Moving Object Trajectories. 636-643
Spatial and Spatiotemporal Data Mining - Short Papers
- Zubin Abraham, Pang-Ning Tan:
A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction. 644-649 - Jason N. Bank, Olufemi A. Omitaomu, Steven J. Fernandez, Yilu Liu:
Visualization and Classification of Power System Frequency Data Streams. 650-655 - Surya S. Durbha, Roger L. King, Santhosh K. Amanchi, Shruthi Bheemireddy, Nicolas H. Younan:
Information Services and Middleware for the Coastal Sensor Web. 656-661 - Lamiaa Fattouh Ibrahim, Weam M. Minshawi, Isra Yosef Ekkab, Nehal Mahmoud Al-Jurf, Afnan Salem Babrahim, Samar Faisl Al-Halees:
Enhancing the DBSCAN and Agglomerative Clustering Algorithms to Solve Network Planning Problem. 662-667 - Thomas Liebig, Christine Körner, Michael May:
Fast Visual Trajectory Analysis Using Spatial Bayesian Networks. 668-673
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