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ORCID7th ICDM Workshops 2007: Omaha, Nebraska, USA
- Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA. IEEE Computer Society 2007, ISBN 0-7695-3033-8
Data Mining in Web 2.0 Environments
- Sisay Fissaha Adafre, Maarten de Rijke:
Ask the Crowd to Find out What's Important. 3-8 - Chia-Hui Chang
, Kun-Chang Tsai:
Aspect Summarization from Blogsphere for Social Study. 9-14 - Mohammed Kayed, Chia-Hui Chang, Khaled Shaalan, Moheb R. Girgis:
FiVaTech: Page-Level Web Data Extraction from Template Pages. 15-20 - Vivek Sehgal, Charles Song:
SOPS: Stock Prediction Using Web Sentiment. 21-26 - Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles, Henry C. Foley, John Yen:
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks. 27-32 - Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles:
Extracting Author Meta-Data from Web Using Visual Features. 33-40
Knowledge Discovery from Multimedia Data and Multimedia Applications
- Guangyan Huang, Zhiming Ding, Jing He:
Automatic Generation of Traditional Style Painting by Using Density-Based Color Clustering. 41-44 - Suzanne Little, Ovidio Salvetti, Petra Perner:
Semi-Automatic Semantic Annotation of Images. 45-50 - Selim Mimaroglu, Kuniaki Uehara:
Bit Sequences and Biclustering of Text Documents. 51-56 - Liang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek:
Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. 63-68 - Jun Yang, Rong Yan, Alexander G. Hauptmann:
Adapting SVM Classifiers to Data with Shifted Distributions. 69-76
Mining and Management of Biological Data
- Andrew O. Arnold, Ramesh Nallapati, William W. Cohen:
A Comparative Study of Methods for Transductive Transfer Learning. 77-82 - Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration. 83-88 - Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur:
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction. 89-94 - Li Li, Steffen Heber, Qiang Zhang, Melvin E. Andersen:
Statistical Approaches to Identifying Androgen Response Elements. 95-100 - Hongfang Liu, Manabu Torii, Zhang-Zhi Hu, Cathy H. Wu:
Mapping Gene/Protein Names in Free Text to Biomedical Databases. 101-106 - Joyita Mallik, Ashok Samal, Scott L. Gardner:
A Content Based Pattern Analysis System for a Biological Specimen Collection. 107-112 - Brigitte Mathiak, Andreas Kupfer, Carolina Rio Bartulos, Tatjana Scope, Johann Weiland, Silke Eckstein:
Discovering Gene Expression Data from the Tables of Full Text Publications. 113-118 - Claudia Täubner, Brigitte Mathiak, Silke Eckstein:
Modeling and Management of Signal Transduction Pathways with Live Sequence Charts. 119-126
Data Mining in Medicine
- Hidenao Abe, Hideto Yokoi, Miho Ohsaki, Takahira Yamaguchi:
Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining. 127-132 - Michele Berlingerio, Francesco Bonchi, Fosca Giannotti, Franco Turini:
Time-Annotated Sequences for Medical Data Mining. 133-138 - Dina Demner-Fushman, Sameer K. Antani, Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Kost V. Elisevich:
Automatically Finding Images for Clinical Decision Support. 139-144 - Shoji Hirano, Shusaku Tsumoto:
Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations. 151-156 - William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob Furst:
Predictive Data Mining for Lung Nodule Interpretation. 157-162 - Vikramaditya R. Jakkula:
Predictive Data Mining to Learn Health Vitals of a Resident in a Smart Home. 163-168 - Mark Last, Rafael Carel, Dotan Barak:
Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance Organization. 169-174 - Kimiko Matsuoka, Shigeki Yokoyama, Kumitomo Watanabe, Shusaku Tsumoto:
Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining. 175-180 - Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Farshad Fotouhi, Ameen Eetemadi, Kost V. Elisevich:
Data Modeling for Content-Based Support Environment Application on Epilepsy Data Mining. 181-188
Optimization-Based Data Mining Techniques with Applications
- Adam Anthony, Marie desJardins:
Data Clustering with a Relational Push-Pull Model. 189-194 - Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Ismail, William A. Wallace:
Learning What Makes a Society Tick. 195-200 - Kreshna Gopal, Thomas R. Ioerger:
Distance Metric Learning through Optimization of Ranking. 201-206 - Le Gruenwald, Hamed Chok, Mazen Aboukhamis:
Using Data Mining to Estimate Missing Sensor Data. 207-212 - Jing He, Guangyan Huang, Yanchun Zhang, Yong Shi:
Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract. 213-218 - Mark Last:
Predicting and Optimizing Classifier Utility with the Power Law. 219-224 - Shuxin Li, Robert Lee, Sheau-Dong Lang:
Mining Distance-Based Outliers from Categorical Data. 225-230 - Olvi L. Mangasarian, Gang Kou:
Feature Selection for Nonlinear Kernel Support Vector Machines. 231-236 - Xiong Qiufen, Gao Jie, Liu Huanzhu, Shao Mingxuan:
Physical Analysis of Precipitation Factors Based on SVM Method. 243-246 - Chuan Shi, Zhongzhi Shi, Bin Wu:
An Efficient Fitness Assignment Based on Dominating Tree. 247-252 - Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang:
A Regularized Multiple Criteria Linear Program for Classification. 253-258 - William-Chandra Tjhi, Lihui Chen:
Dual Fuzzy-Possibilistic Co-clustering for Document Categorization. 259-264 - David A. de Waal, Jan V. du Toit:
Generalized Additive Models from a Neural Network Perspective. 265-270 - Yanbo J. Wang, Qin Xin, Frans Coenen:
A Novel Rule Weighting Approach in Classification Association Rule Mining. 271-276 - Yasutoshi Yajima, Teppei Sato:
Semi-supervised Kernel Logistic Regression and Its Extension to Active Learning Based on A-Optimality. 277-282 - Nian Yan, Zhenyuan Wang, Zhengxin Chen:
Classification with Choquet Integral with Respect to Signed Non-additive Measure. 283-288 - Peng Zhang, Jingran Dai:
Multiple-Criteria Linear Programming for VIP E-Mail Behavior Analysis. 289-296
High Performance Data Mining
- Wassim Ayadi, Khedija Arour:
A Novel Parallel Boolean Approach for Discovering Frequent Itemsets. 297-302 - Gang Chen, Fei Wang, Changshui Zhang:
Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. 303-308 - Paula Cecilia Fritzsche, Dolores Rexachs, Emilio Luque:
Extracting Knowledge to Predict TSP Asymptotic Time Complexity. 309-318 - Yi Guo, Paul Wing Hing Kwan, Junbin Gao:
Twin Kernel Embedding with Back Constraints. 319-324 - Xiaonan Ji, James Bailey:
An Efficient Technique for Mining Approximately Frequent Substring Patterns. 325-330 - Kun Zhao, Ying-Jie Tian, Naiyang Deng, Hiroshi Kuwajima, Takashi Washio:
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines. 331-336 - Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing:
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. 343-348 - Ramesh Nallapati, William W. Cohen, John D. Lafferty:
Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. 349-354 - Baoying Wang, Imad Rahal:
WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure. 355-360 - Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang:
Semi-supervised Clustering Using Bayesian Regularization. 361-366 - Chulmin Yun, Jihoon Yang:
Experimental Comparison of Feature Subset Selection Methods. 367-372 - Lin Zhou, Ying Liu, Jing Wang, Yong Shi:
Utility-Based Web Path Traversal Pattern Mining. 373-380
Mining Graphs and Complex Structures
- Mustafa Bilgic, Galileo Namata, Lise Getoor:
Combining Collective Classification and Link Prediction. 381-386 - Shouchun Chen, Fei Wang, Changshui Zhang:
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. 387-392 - William Eberle, Lawrence B. Holder:
Discovering Structural Anomalies in Graph-Based Data. 393-398 - Mathias Fiedler, Christian Borgelt:
Subgraph Support in a Single Large Graph. 399-404 - Christophe Costa Florêncio:
Tree Planar Languages. 405-410 - Brian Gallagher, Tina Eliassi-Rad:
An Examination of Experimental Methodology for Classifiers of Relational Data. 411-416 - Mahmud Shahriar Hossain, Rafal A. Angryk:
GDClust: A Graph-Based Document Clustering Technique. 417-422 - Masoud Makrehchi, Mohamed S. Kamel:
Learning Term Dependency Links Using Information Theoretic Inclusion Measure. 423-428 - Matthew J. Rattigan, Marc E. Maier, David D. Jensen, Bin Wu, Xin Pei, Jianbin Tan, Yi Wang:
Exploiting Network Structure for Active Inference in Collective Classification. 429-434 - Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J. Schweiger:
A Divisive Hierarchical Structural Clustering Algorithm for Networks. 441-448
Data Mining on Uncertain Data
- Lance E. Besaw, Donna M. Rizzo:
Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone. 449-454 - Jebari Chaker, Habib Ounelli:
Genre Categorization of Web Pages. 455-464 - Robert Gwadera, Janne Toivola, Jaakko Hollmén:
Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks. 465-470 - Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner, Ralf Dittmann, Clemens Utzny:
Error-Aware Density-Based Clustering of Imprecise Measurement Values. 471-476 - Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano:
Skewed Class Distributions and Mislabeled Examples. 477-482 - Sau Dan Lee, Ben Kao, Reynold Cheng:
Reducing UK-Means to K-Means. 483-488 - Carson Kai-Sang Leung, Christopher L. Carmichael, Boyu Hao:
Efficient Mining of Frequent Patterns from Uncertain Data. 489-494 - Feng Liu, Fengzhan Tian, QiLiang Zhu:
A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data. 495-500 - Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Garofalakis, Joseph M. Hellerstein:
Granularity Conscious Modeling for Probabilistic Databases. 501-506 - Prithviraj Sen, Amol Deshpande, Lise Getoor:
Representing Tuple and Attribute Uncertainty in Probabilistic Databases. 507-512 - Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, Charles E. Taylor:
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs. 513-518 - Jian Xu, Pedrito Maynard-Zhang, Jianhua Chen:
Incremental Integration of Probabilistic Models Learned from Data. 519-526
Data Streaming Mining and Management
- Fatih Altiparmak, David Chiu, Hakan Ferhatosmanoglu:
Incremental Quantization for Aging Data Streams. 527-532 - Morteza Analoui, Behrouz Minaei-Bidgoli, Mohammad Hossein Rezvani:
Hierarchical Classifier Combination and Its Application in Networks Intrusion Detection. 533-538 - Wael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner:
An Approach for Incremental Semi-supervised SVM. 539-544 - S. Muthukrishnan, Eric van den Berg, Yihua Wu:
Sequential Change Detection on Data Streams. 551-550 - Jan Peter Patist:
Optimal Window Change Detection. 557-562 - Alan Ratner, Ron Loui:
High-Speed Identification of Language and Script. 563-568 - Budhaditya Saha, Mihai M. Lazarescu, Svetha Venkatesh:
Infrequent Item Mining in Multiple Data Streams. 569-574 - Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao:
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream. 575-580 - Xiangliang Zhang, Michèle Sebag, Cécile Germain:
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. 581-588 - Ana Cristina Costa, Amílcar Soares:
Space-Time Interpolation and Uncertainty Assessment of an Extreme Precipitation Index Using Geostatistical Cosimulation. 589-594 - Wei Ding, Christoph F. Eick, Xiaojing Yuan, Jing Wang, Jean-Philippe Nicot:
On Regional Association Rule Scoping. 595-600 - Sigal Elnekave, Mark Last, Oded Maimon:
A Compact Representation of Spatio-Temporal Data. 601-606 - Angélica García Gutiérrez, Peter Baumann:
Modeling Fundamental Geo-Raster Operations with Array Algebra. 607-612 - Shyamanta M. Hazarika:
Pattern Mining as Abduction: From Snapshots to Spatio-Temporal Sequential Patterns. 613-618 - Shu Huang, Qiankun Zhao, Prasenjit Mitra, C. Lee Giles:
Query Expansion Using Topic and Location. 619-624 - Vikramaditya R. Jakkula, Aaron S. Crandall, Diane J. Cook:
Knowledge Discovery in Entity Based Smart Environment Resident Data Using Temporal Relation Based Data Mining. 625-630 - Marc Joliveau, Florian De Vuyst:
Space-Time Summarization of Multisensor Time Series. Case of Missing Data. 631-636 - April Kerby, David Marx, Ashok Samal, Viacheslav Adamchuck:
Spatial Clustering Using the Likelihood Function. 637-642 - Leonardo E. Mariote, Claudia Bauzer Medeiros, Ricardo da Silva Torres:
Diagnosing Similarity of Oscillation Trends in Time Series. 643-648 - Ickjai Lee, Peter Phillips:
Areal Aggregated Crime Reasoning through Density Tracing. ICDM Workshops 2007: 649-654 - Falko Schmid:
Formulating, Identifying and Analyzing Individual Spatial Knowledge. 655-660 - ZongBo Shang, Jeffrey D. Hamerlinck:
Using Statistics and Spatial Data Mining to Study Land Cover in Wyoming : Can We Predict Vegetation Types from Environmental Variables? 661-666 - Tsegaye Tadesse, Brian D. Wardlow:
The Vegetation Outlook (VegOut): A New Tool for Providing Outlooks of General Vegetation Conditions Using Data Mining Techniques. 667-672 - Ranga Raju Vatsavai, Budhendra L. Bhaduri:
A Hybrid Classification Scheme for Mining Multisource Geospatial Data. 673-678 - Florian Verhein, Ghazi Al-Naymat:
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT. 679-684 - Elizabeth Wu, Sanjay Chawla:
Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation. 685-692
Privacy Aspects of Data Mining
- Osman Abul, Maurizio Atzori, Francesco Bonchi, Fosca Giannotti:
Hiding Sensitive Trajectory Patterns. 693-698 - Artak Amirbekyan, Vladimir Estivill-Castro:
Privacy-Preserving k-NN for Small and Large Data Sets. 699-704 - Geetha Jagannathan, Krishnan Pillaipakkamnatt, Daryl Umano:
A Secure Clustering Algorithm for Distributed Data Streams. 705-710 - Geetha Jagannathan, Rebecca N. Wright:
Private Inference Control for Aggregate Database Queries. 711-716 - Murat Kantarcioglu, Onur Kardes:
Privacy-Preserving Data Mining Applications in the Malicious Model. 717-722 - Aleksandra B. Slavkovic, Yuval Nardi, Matthew M. Tibbits:
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. 723-728 - Jie Wang, Jun Zhang, Lian Liu, Dianwei Han:
Simultaneous Pattern and Data Hiding in Unsupervised Learning. 729-734
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