10. ICDM Workshops 2010: Sydney, Australia

Mining Multiple Information Sources - MMIS 2010

• Hanady M. Abdulsalam, Layla K. Kamel:
  W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks. 1-8
  
• Bilal Hawashin, Farshad Fotouhi, William I. Grosky:
  Diffusion Maps: A Superior Semantic Method to Improve Similarity Join Performance. 9-16
  
• Jean-Charles Lamirel, Ghada Safi, Navesh Priyankar, Pascal Cuxac:
  Mining Research Topics Evolving Over Time Using a Diachronic Multi-source Approach. 17-24
  
• Chao-Hui Lee, Vincent S. Tseng:
  PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification. 25-32
  
• Tantan Liu, Fan Wang, Jiedan Zhu, Gagan Agrawal:
  Differential Analysis on Deep Web Data Sources. 33-40
  
• Manuel Martín-Merino:
  Learning a Combination of Dissimilarities from a Set of Equivalence Constraints. 41-48
  
• Gulisong Nasierding, Abbas Z. Kouzani, Grigorios Tsoumakas:
  A Triple-Random Ensemble Classification Method for Mining Multi-label Data. 49-56
  
• Lan Nie, Zhigang Hua, Xiaofeng He, Scott Gaffney:
  Learning Document Labels from Enriched Click Graphs. 57-64
  
• Dong-Chul Park:
  Multiple Feature-Based Classifier and Its Application to Image Classification. 65-71
  
• Ariella Richardson, Gal A. Kaminka, Sarit Kraus:
  CUBS: Multivariate Sequence Classification Using Bounded Z-score with Sampling. 72-79
  
• Ashit Talukder:
  Event Data Mining and Classification from Multiple Streaming Sources. 80-87
  
• Quach Vinh Thanh, Vivekanand Gopalkrishnan, Hock Hee Ang:
  Distributed Classification on Peers with Variable Data Spaces and Distributions. 88-95
  

Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts - CLIMKD 2010

• Hardy Kremer, Stephan Günnemann, Thomas Seidl:
  Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. 96-97
  
• Yu Su, Sudheer Chelluboina, Michael Hahsler, Margaret H. Dunham:
  A New Data Mining Model for Hurricane Intensity Prediction. 98-105
  
• Kollukuduru Sravanthi, K. S. Rajan:
  Mining Spatial Co-occurrence of Drought Events from Climate Data of India. 106-112
  
• Weiqiang Wang, Zhendong Niu:
  Data Analysis in Los Angeles Long Beach with Seasonal Time Series Model. 113-120
  

Knowledge Discovery Using Cloud and Distributed Computing Platforms - KDCloud 2010

• Andrea Campagna, Rasmus Pagh:
  On Finding Similar Items in a Stream of Transactions. 121-128
  
• Jin Chang, Jun Luo, Joshua Zhexue Huang, Shengzhong Feng, Jianping Fan:
  Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation. 129-137
  
• Srivatsava Daruru, Sankari Dhandapani, Gunjan Gupta, Ilian Iliev, Weijia Xu, Paul Navratil, Nena M. Marin, Joydeep Ghosh:
  Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets. 138-147
  
• James L. Horey:
  Challenges in Scheduling Aggregation in Cyberphysical Information Processing Systems. 148-153
  
• Huizhi Liang, Jim Hogan, Yue Xu:
  Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce. 154-161
  
• Li Lu, Yunhong Gu, Robert L. Grossman:
  dSimpleGraph: A Novel Distributed Clustering Algorithm for Exploring Very Large Scale Unknown Data Sets. 162-169
  
• Leonardo Neumeyer, Bruce Robbins, Anish Nair, Anand Kesari:
  S4: Distributed Stream Computing Platform. 170-177
  
• Claudia Plant, Christian Böhm:
  Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates. 178-185
  
• Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal:
  Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware. 186-193
  

Spatial and Spatio-temporal Data Mining - SSTDM 2010

• Peter Baumann, Shams Feyzabadi, Constantin Jucovschi:
  Putting Pixels in Place: A Storage Layout Language for Scientific Data. 194-201
  
• Varun Chandola, Dafeng Hui, Lianhong Gu, Budhendra L. Bhaduri, Ranga Raju Vatsavai:
  Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data. 202-208
  
• Gerben de Vries, Willem Robert van Hage, Maarten van Someren:
  Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments. 209-216
  
• Amit Dhurandhar:
  Learning Maximum Lag for Grouped Graphical Granger Models. 217-224
  
• H. Sebnem Düzgün, Seyma Ozcan Yavuzoglu:
  Using Self-Organizing Map and Heuristics to Identify Small Statistical Areas Based on Household Socio-Economic Indicators in Turkey's Address Based Population Register System. 225-232
  
• Marta Fort, Joan Antoni Sellarès, Nacho Valladares:
  Computing Popular Places Using Graphics Processors. 233-240
  
• Dirk Hecker, Hendrik Stange, Christine Körner, Michael May:
  Sample Bias due to Missing Data in Mobility Surveys. 241-248
  
• Shohei Hidaka, Chen Yu:
  Spatio-Temporal Symbolization of Multidimensional Time Series. 249-256
  
• Shoji Hirano, Shusaku Tsumoto:
  Curvature Maxima-based Trajectories Mining. 257-264
  
• Dev Oliver, Abdussalam Bannur, James M. Kang, Shashi Shekhar, Renee Bousselaire:
  A K-Main Routes Approach to Spatial Network Activity Summarization: A Summary of Results. 265-272
  
• Ranga Raju Vatsavai, Anil Cheriyadat, Shaun S. Gleason:
  Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images. 273-280
  
• Hui Wang, Zhiwei Lin, Sally I. McClean, Jun Liu:
  Measuring Similarity for Multidimensional Sequences. 281-287
  

Social Interactions Analysis and Services Providers - SIASP 2010

• Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Singh:
  Towards Community Discovery in Signed Collaborative Interaction Networks. 288-295
  
• Tom Broxton, Yannet Interian, Jon Vaver, Mirjam Wattenhofer:
  Catching a Viral Video. 296-304
  
• Lin Chen, Richi Nayak, Yue Xu:
  Improving Matching Process in Social Network. 305-311
  
• Xian Chen, Hyoseop Shin:
  Extracting Representative Tags for Flickr Users. 312-317
  
• Zhengzhang Chen, Kevin A. Wilson, Ye Jin, William Hendrix, Nagiza F. Samatova:
  Detecting and Tracking Community Dynamics in Evolutionary Networks. 318-327
  
• Dino Ienco, Francesco Bonchi, Carlos Castillo:
  The Meme Ranking Problem: Maximizing Microblogging Virality. 328-335
  
• Mohsen Jamali, Martin Ester:
  Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks. 336-343
  
• (paper withdrawn)
• Richi Nayak, Meng Zhang, Lin Chen:
  A Social Matching System for an Online Dating Network: A Preliminary Study. 352-357
  
• Dwi A. P. Rahayu, Shonali Krishnaswamy, Oshadi Alahakoon, Cyril Labbé:
  RnR: Extracting Rationale from Online Reviews and Ratings. 358-368
  
• Chiraz Trabelsi, Aicha Ben Jrad, Sadok Ben Yahia:
  Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations. 369-379
  
• Tetsuya Yoshida:
  Toward Finding Hidden Communities Based on User Profile. 380-387
  

Visual Analytics and Knowledge Discovery - VAKD 2010

• Martin Amelie, Monique Noirhomme-Fraiture, Quang Vinh Nguyen, Simeon J. Simoff:
  A Visual Analytics Tool for Analysing Microarray Data. 388-395
  
• Rafael Veras Guimarães, Nikolas Jorge S. Carneiro, Anderson Marques, Bianchi Serique Meiguins, Aruanda Simões Goncalves Meiguins:
  Analysing the Large-Scale, Time-Oriented, VAST 2010 MC2 Dataset with PRISMA. 396-400
  
• Martin Hahmann, Dirk Habich, Wolfgang Lehner:
  Evolving Ensemble-Clustering to a Feedback-Driven Process. 401-408
  
• Kai Puolamäki, Panagiotis Papapetrou, Jefrey Lijffijt:
  Visually Controllable Data Mining Methods. 409-417
  
• Christin Seifert, Michael Granitzer:
  User-Based Active Learning. 418-425
  
• W. Scott Spangler, Ying Chen, Jeffrey T. Kreulen, Stephen Boyer, Thomas D. Griffin, Alfredo Alba, Linda Kato, Ana Lelescu, Su Yan:
  SIMPLE: Interactive Analytics on Patent Data. 426-433
  
• Eniko Szekely, Eric Bruno, Stéphane Marchand-Maillet:
  High-Dimensional Multimodal Distribution Embedding. 434-441
  
• Hanisha Veeramachaneni, Soujanya Vadapalli, Kamalakar Karlapalem:
  BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis. 442-449
  

Privacy Aspects of Data Mining - PADM 2010

• Peter Baumann:
  Language-Based Enforcement of Access Constraints on Geoscientific Image Data. 450-457
  
• Hongyu Guo, Herna L. Viktor, Eric Paquet:
  Identifying and Preventing Data Leakage in Multi-relational Classification. 458-465
  
• Ling Guo, Xiaowei Ying, Xintao Wu:
  On Attribute Disclosure in Randomization Based Privacy Preserving Data Publishing. 466-473
  
• Aleksandra Korolova:
  Privacy Violations Using Microtargeted Ads: A Case Study. 474-482
  
• Shin-ya Kuno, Koichiro Doi, Akihiro Yamamoto:
  Frequent Closed Itemset Mining with Privacy Preserving for Distributed Databases. 483-490
  
• Yidong Li, Hong Shen:
  Anonymizing Graphs Against Weight-Based Attacks. 491-498
  
• Madhusudana V. S. Shashanka:
  A Privacy Preserving Framework for Gaussian Mixture Models. 499-506
  
• Lisa Singh, Clare Schramm:
  Identifying Similar Neighborhood Structures in Private Social Networks. 507-516
  

Semantic Aspects in Data Mining - SADM 2010

• Latifur Khan, Jeffrey Partyka, Satyen Abrol, Bhavani M. Thuraisingham:
  Geospatial Schema Matching with High-Quality Cluster Assurance and Location Mining from Social Network. 517
  
• Pekka Malo, Pyry-Antti Siitari, Oskar Ahlgren, Jyrki Wallenius, Pekka J. Korhonen:
  Semantic Content Filtering with Wikipedia and Ontologies. 518-526
  
• Rebecca Ong, Monica Wachowicz, Mirco Nanni, Chiara Renso:
  From Pattern Discovery to Pattern Interpretation in Movement Data. 527-534
  
• Jyh-Ren Shieh, Ching-Yung Lin, Shun-Xuan Wang, Yung-Huan Hsieh, Ja-Ling Wu:
  Incorporating Multi-partite Networks and Expertise to Construct Related-Term Graphs. 535-542
  
• Vilaythong Southavilay, Kalina Yacef, Rafael A. Calvo:
  Analysis of Collaborative Writing Processes Using Hidden Markov Models and Semantic Heuristics. 543-548
  
• Hakan Yilmaz, Pinar Senkul:
  Using Ontology and Sequence Information for Extracting Behavior Patterns from Web Navigation Logs. 549-556
  

Applications of Data Mining and Modeling in Government and Industry - ADMMGI 2010

• Saeed Bagheri, Krishna Ratakonda, Rakesh Mohan:
  Variable Productivity Adjustment Estimation for Function Point Project Delivery. 557-561
  
• Divna Djordjevic, Rayid Ghani:
  Graphics Classification for Enterprise Knowledge Management. 562-569
  
• JuiHsi Fu, SingLing Lee:
  Efficient Rule Generation for Dominant Class Problems on LARM. 570-576
  
• Nhien-An Le-Khac, M. Tahar Kechadi:
  Application of Data Mining for Anti-money Laundering Detection: A Case Study. 577-584
  
• Xiaodong Li, Xiaotie Deng, Feng Wang, Keren Dong:
  Empirical Analysis: News Impact on Stock Prices Based on News Density. 585-592
  
• Chi-Jie Lu, Tian-Shyug Lee, Chia-Mei Lian:
  Sales Forecasting of IT Products Using a Hybrid MARS and SVR Model. 593-599
  
• Wei Luo, Marcus Gallagher:
  Unsupervised DRG Upcoding Detection in Healthcare Databases. 600-605
  
• Ronald Marsh, Kirk Ogaard:
  Mining Heterogeneous ADS-B Data Sets for Probabilistic Models of Pilot Behavior. 606-612
  
• Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Sutinen, B. Schwarz, David Jeacocke, J. Farrugia:
  Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia. 613-622
  
• Peter Sarlin, Dorina Marghescu:
  Visual Predictions of Currency Crises Using Self-Organizing Maps. 623-630
  
• Bernd Scholz-Reiter, Jens Heger, Torsten Hildebrandt:
  Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques. 631-638
  
• Zhiyuan Yao, Tomas Eklund, Barbro Back:
  Using SOM-Ward Clustering and Predictive Analytics for Conducting Customer Segmentation. 639-646
  
• Baojun Yue, Jun Yan, Heng Liang, Ning Liu, Lei Ji, Fengshan Bai, Zheng Chen:
  Quantum Path Integral Inspired Query Sequence Suggestion for User Search Task Simplification. 647-654
  
• Yanchang Zhao, Hans Bohlscheid, Shanshan Wu, Longbing Cao:
  Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees. 655-660
  

Applications of Data Mining and Modeling in Government and Industry - ADMMGI 2010

• Farit Mochamad Afendi, Latifah K. Darusman, Aki Hirai, Md. Altaf-Ul-Amin, Hiroki Takahashi, Kensuke Nakamura, Shigehiko Kanaya:
  System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu. 661-668
  
• Wenbin Chen, Andrea M. Rocha, William Hendrix, Matthew C. Schmidt, Nagiza F. Samatova:
  The Multiple Alignment Algorithm for Metabolic Pathways without Abstraction. 669-678
  
• Qiong Cheng, Jinpeng Wei, Alexander Zelikovsky, Mitsunori Ogihara:
  Fixed-Parameter Tractable Combinatorial Algorithms for Metabolic Networks Alignments. 679-686
  
• Qiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky:
  Efficient Alignments of Metabolic Networks with Bounded Treewidth. 687-694
  
• Chunsheng Fang, Minlu Zhang, Anca L. Ralescu, Jason L. Lu:
  Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining. 695-702
  
• V. S. Gowri, Khader Shameer, Chilamakuri Chandra Sekhar Reddy, Prashant Shingate, Ramanathan Sowdhamini:
  A Sequence Data Mining Protocol to Identify Best Representative Sequence for Protein Domain Families. 703-710
  
• Tsuyoshi Kato, Kazuhiro Suwa, Nozomi Nagano:
  Parametric Templates: A New Enzyme Active-Site Prediction Algorithm. 711-718
  
• Majid Masso:
  Overcoming the Curse of Dimensionality in a Statistical Geometry Based Computational Protein Mutagenesis. 719-725
  
• Martin McGrane, Simon K. Poon:
  Interaction as an Interestingness Measure. 726-731
  
• Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden:
  Is Topotecan Effective at Killing Cancer Cells? 732-739
  
• Raúl Santos-Rodríguez, Dario García-García:
  Cost-Sensitive Feature Selection Based on the Set Covering Machine. 740-746
  
• Junming Shao, Klaus Hahn, Qinli Yang, Christian Böhm, Afra M. Wohlschläger, Nicholas Myers, Claudia Plant:
  Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. 747-754
  
• Kyong Jin Shim:
  Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition. 755-762
  
• Zeeshan Syed, Ilan Rubinfeld:
  Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions. 763-770
  
• Nikil Wale:
  An Empirical Comparison of Platt Calibration and Inductive Confidence Machines for Predictions in Drug Discovery. 771-778
  
• Miao Wang, Xuequn Shang, Shaohua Zhang, Zhanhuai Li:
  FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets. 779-786
  
• Minlu Zhang, Chunsheng Fang, Yan Xu, Raj Bhatnagar, Long J. Lu:
  An Integrative Scoring Approach to Identify Transcriptional Regulations Controlling Lung Surfactant Homeostasis. 787-792
  

International Workshop on Chance Discovery - IWCD 2010

• Akinori Abe:
  Curation in Chance Discovery. 793-799
  
• Hidenao Abe, Shusaku Tsumoto:
  Text Categorization with Considering Temporal Patterns of Term Usages. 800-807
  
• Masabumi Furuhata, Takanobu Mizuta, Jihei So:
  Paired Evaluators Method to Track Concept Drift: An Application for Hedge Funds Operations. 808-815
  
• Yukio Ohsawa, Kensuke Okamoto, Yuma Takahashi, Yoko Nishihara:
  Innovators Marketplace as Game on the Table versus Board on the Web. 816-821
  
• Yoshiaki Okubo, Makoto Haraguchi, Takeshi Nakajima:
  Finding Rare Patterns with Weak Correlation Constraint. 822-829
  
• Vladimir V. Rybakov:
  Temporal Logic TL ^Z_ {DU} Modeling Local and Global Discovery with Logical Uncertainty. 830-834
  
• Shusaku Tsumoto, Shoji Hirano:
  Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing. 835-842
  
• Indre Zliobaite:
  Change with Delayed Labeling: When is it Detectable? 843-850
  

Reliability Issues in Knowledge Discovery - RIKD 2010

• Junyi Chai, James N. K. Liu:
  Towards a Reliable Framework of Uncertainty-Based Group Decision Support System. 851-858
  
• Min Gan, Honghua Dai:
  A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences. 859-866
  
• Hazra Imran, Aditi Sharan:
  Co-occurrence based predictors for estimating query difficulty. 867-874
  
• Lixin Shi, Yuhang Zhao:
  Batch Mode Sparse Active Learning. 875-882
  
• Ke Wang, James N. K. Liu, Weimin Ma:
  Towards the Detection of Potential Contradictions in Fuzzy Ontology Using a High Level Net Approach Integrated with Uncertainty Inference. 883-890
  
• Zhongfeng Wang, Zhihai Wang, Bin Fu:
  Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes. 891-898
  
• Zhongfeng Wang, Zhihai Wang, Bin Fu:
  Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling. 899-904
  
• Min Yao, Wensheng Yi, Rong Zhu, Ran Cheng:
  Semantic Image Retrieval Based on Multiple-Instance Learning. 905-910
  

Domain Driven Data Mining - DDDM 2010

• Muhammad Aurangzeb Ahmad, Zoheb Borbora, Jaideep Srivastava, Noshir S. Contractor:
  Link Prediction Across Multiple Social Networks. 911-918
  
• Paolo Cremonesi, Roberto Turrin:
  Controlling Consistency in Top-N Recommender Systems. 919-926
  
• Elnaz Delpisheh, John Z. Zhang:
  Evaluating Association Rules by Quantitative Pairwise Property Comparisons. 927-934
  
• Kiyoshi Izumi, Takashi Goto, Tohgoroh Matsui:
  Trading Tests of Long-Term Market Forecast by Text Mining. 935-942
  
• Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab Zaidi:
  Network Anomaly Detection Using a Commute Distance Based Approach. 943-950
  
• Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu:
  Vote-Based LELC for Positive and Unlabeled Textual Data Streams. 951-958
  
• Girish Keshav Palshikar, Harrick M. Vin, Mohammed Mudassar, Maitreya Natu:
  Domain-Driven Data Mining for IT Infrastructure Support. 959-966
  
• Arthur Pitman, Markus Zanker:
  Insights from Applying Sequential Pattern Mining to E-commerce Click Stream Data. 967-975
  
• Bogdan Pogorelc, Matjaz Gams:
  Medically Driven Data Mining Application: Recognition of Health Problems from Gait Patterns of Elderly. 976-980
  
• Julien Rabatel, Sandra Bringay, Pascal Poncelet:
  Contextual Sequential Pattern Mining. 981-988
  
• Atanu Roy, Chandrima Sarkar, Rafal A. Angryk:
  Using Taxonomies to Perform Aggregated Querying over Imprecise Data. 989-996
  
• Kyong Jin Shim, Jaideep Srivastava:
  Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs). 997-1004
  
• Ramzan Talib, Bernhard Volz, Stefan Jablonski:
  Agent Assignment for Process Management: Agent Performance Evaluation Framework. 1005-1012
  
• Shuo Wang, Xin Yao:
  The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles. 1013-1020
  
• Indre Zliobaite, Mykola Pechenizkiy:
  Learning with Actionable Attributes: Attention -- Boundary Cases! 1021-1028
  

Data Mining for Service - DMS 2010

• Abraham Bagherjeiran, Andrew O. Hatch, Adwait Ratnaparkhi, Rajesh Parekh:
  Large-Scale Customized Models for Advertisers. 1029-1036
  
• Kuiyu Chang, I. Wayan Tresna Perdana, Bramandia Ramadhana, Kailash Sethuraman, Truc Viet Le, Neha Chachra:
  Knowledge File System -- A Principled Approach to Personal Information Management. 1037-1044
  
• Barnan Das, Chao Chen, Nairanjana Dasgupta, Diane J. Cook, Adriana M. Seelye:
  Automated Prompting in a Smart Home Environment. 1045-1052
  
• Maria Francesca Faraone, Michele Gorgoglione, Cosimo Palmisano:
  Contextual Segmentation: Using Context to Improve Behavior Predictive Models in E-commerce. 1053-1060
  
• Maitreya Natu, Girish Keshav Palshikar:
  Interesting Subset Discovery and Its Application on Service Processes. 1061-1068
  
• Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook:
  Discovering Temporal Features and Relations of Activity Patterns. 1069-1075
  
• Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
  Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management. 1076-1083
  

International Workshop on Topic Feature Discovery and Opinion Mining - FDOM 2010

• Noraswaliza Abdullah, Yue Xu, Shlomo Geva, Jinghong Chen:
  Infrequent Purchased Product Recommendation Making Based on User Behaviour and Opinions in E-commerce Sites. 1084-1091
  
• Michal Aharon, Ira Cohen, Arik Itskovitch, Inbal Marhaim, Ron Banner:
  The PARIS Algorithm for Determining Latent Topics. 1092-1099
  
• Nicola Barbieri, Massimo Guarascio, Giuseppe Manco:
  A Block Mixture Model for Pattern Discovery in Preference Data. 1100-1107
  
• Mohamed Elhawary, Mohamed G. Elfeky:
  Mining Arabic Business Reviews. 1108-1113
  
• Noura Farra, Elie Challita, Rawad Abou Assi, Hazem Hajj:
  Sentence-Level and Document-Level Sentiment Mining for Arabic Texts. 1114-1119
  
• Chapmann C. L. Lai, K. Q. Xu, Raymond Y. K. Lau, Yuefeng Li, Dawei Song:
  High-Order Concept Associations Mining and Inferential Language Modeling for Online Review Spam Detection. 1120-1127
  
• Huizhi Liang, Yue Xu, Yuefeng Li:
  Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems. 1128-1135
  
• Mohamed Yassine, Hazem Hajj:
  A Framework for Emotion Mining from Text in Online Social Networks. 1136-1142
  
• Weishi Zhang, Guiguang Ding, Li Chen, Chunping Li:
  Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification. 1143-1150
  

Optimization Based Techniques for Emerging Data Mining Problems - OEDM 2010

• Leman Akoglu, Christos Faloutsos:
  ValuePick: Towards a Value-Oriented Dual-Goal Recommender System. 1151-1158
  
• Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva:
  Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors. 1159-1166
  
• Sangeetha Kutty, Richi Nayak, Yuefeng Li:
  XML Documents Clustering Using Tensor Space Model -- A Preliminary Study. 1167-1173
  
• Wanjun Liu, Juan Zhang, Junli Liu:
  Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating. 1174-1178
  
• Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong:
  Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. 1179-1188
  
• Guangli Nie, Lingling Zhang, Yuejin Zhang, Wei Deng, Yong Shi:
  Find Intelligent Knowledge by Second-Order Mining: Three Cases from China. 1189-1195
  
• Lingfeng Niu, Yong Shi:
  Semi-supervised PLSA for Document Clustering. 1196-1203
  
• Michael Ovelgönne, Andreas Geyer-Schulz:
  Cluster Cores and Modularity Maximization. 1204-1213
  
• Evangelos E. Papalexakis, Nicholas D. Sidiropoulos, Minos N. Garofalakis:
  Reviewer Profiling Using Sparse Matrix Regression. 1214-1219
  
• Novi Quadrianto, Dale Schuurmans, Alex J. Smola:
  Distributed Flow Algorithms for Scalable Similarity Visualization. 1220-1227
  
• Dimitri Semenovich, Nobuyuki Morioka, Arcot Sowmya:
  Efficient Additive Models via the Generalized Lasso. 1228-1233
  
• Chuan Shi, Yanan Cai, Philip S. Yu, Zhenyu Yan, Bin Wu:
  A Comparison of Objective Functions in Network Community Detection. 1234-1241
  
• Zhengguo Sun, Tao Li, Naphtali Rishe:
  Large-Scale Matrix Factorization Using MapReduce. 1242-1248
  
• Zhichen Xia, Chris H. G. Ding:
  Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering. 1249-1256
  
• Dragomir Yankov, Suju Rajan, Adwait Ratnaparkhi:
  Integer Programming for Multi-class Active Learning. 1257-1264
  
• Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan:
  ALPOS: A Machine Learning Approach for Analyzing Microblogging Data. 1265-1272
  
• Hao Lan Zhang, Clement H. C. Leung, Gitesh K. Raikundalia, Jing He:
  A Novel Ranking Algorithm for Service Matching Based on Agent Association Graphs. 1273-1280
  
• Lei Zhao, Musa A. Mammadov, John Yearwood:
  From Convex to Nonconvex: A Loss Function Analysis for Binary Classification. 1281-1288
  
• Xiaofei Zhou, Yong Shi:
  Subspace Distance-Based Sampling Method for SVM. 1289-1296
  

Large-Scale Analytics for Complex Instrumented Systems - LACIS 2010

• Yousra Chabchoub, Georges Hébrail:
  Sliding HyperLogLog: Estimating Cardinality in a Data Stream over a Sliding Window. 1297-1303
  
• Chih-Chun Chia, Zeeshan Syed:
  Using Adaptive Downsampling to Compare Time Series with Warping. 1304-1311
  
• Amit Dhurandhar:
  Multi-step Time Series Prediction in Complex Instrumented Domains. 1312-1319
  
• Li Lu, Yunhong Gu, Robert L. Grossman:
  dMaximalCliques: A Distributed Algorithm for Enumerating All Maximal Cliques and Maximal Clique Distribution. 1320-1327
  
• Koji Maruhashi, Christos Faloutsos:
  EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs. 1328-1337
  
• Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel:
  Enhancing Ubiquitous Systems through System Call Mining. 1338-1345
  
• Indranil Palit, Chandan K. Reddy:
  Parallelized Boosting with Map-Reduce. 1346-1353
  

Contest Papers

• Carlos J. Gil Bellosta:
  A Convex Combination of Models for Predicting Road Traffic. 1354-1356
  
• Benjamin Hamner:
  Predicting Travel Times with Context-Dependent Random Forests by Modeling Local and Aggregate Traffic Flow. 1357-1359
  
• Benjamin Hamner:
  Predicting Future Traffic Congestion from Automated Traffic Recorder Readings with an Ensemble of Random Forests. 1360-1362
  
• Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter:
  Ensemble-Based Method for Task 2: Predicting Traffic Jam. 1363-1365
  
• Lukasz Romaszko:
  IEEE ICDM 2010 Contest: Traffic Prediction -- Jams. 1366-1368
  
• Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz:
  Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report. 1369-1371
  
• Marcin Wojnarski, Pawel Góra, Marcin S. Szczuka, Hung Son Nguyen, Joanna Swietlicka, Demetris Zeinalipour-Yazti:
  IEEE ICDM 2010 Contest: TomTom Traffic Prediction for Intelligent GPS Navigation. 1372-1376
  

Demo Papers

• Jiyang Chen, Justin Fagnan, Randy Goebel, Reihaneh Rabbany, Farzad Sangi, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaïane:
  Meerkat: Community Mining with Dynamic Social Networks. 1377-1380
  
• Brett Gillick, Hasnain AlTaiar, Shonali Krishnaswamy, Jonathan Liono, Nicholas Nicoloudis, Abhijat Sinha, Arkady B. Zaslavsky, Mohamed Medhat Gaber:
  Clutter-Adaptive Visualization for Mobile Data Mining. 1381-1384
  
• Anthony Goldbloom:
  Data Prediction Competitions -- Far More than Just a Bit of Fun. 1385-1386
  
• Stephan Günnemann, Hardy Kremer, Ines Färber, Thomas Seidl:
  MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. 1387-1390
  
• Brendan Kitts, Liang Wei, Dyng Au, Stefanie Zlomek, Ryan Brooks, Brian Burdick:
  Targeting Television Audiences Using Demographic Similarity. 1391-1399
  
• Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
  Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. 1400-1403
  
• Chayapol Moemeng, Xinhua Zhu, Longbing Cao, Chen Jiahang:
  i-Analyst: An Agent-Based Distributed Data Mining Platform. 1404-1406
  

Demo '09

• Zhibo Chen, Carlos Garcia-Alvarado, Carlos Ordonez:
  Enhancing Document Exploration with OLAP. 1407-1410
  
• Sarika Mittal, Jothi Swarubini Vindhiya Varman, Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis:
  QueRIE: A Query Recommender System Supporting Interactive Database Exploration. 1411-1414
  
• Biao Qin, Yuni Xia, Rakesh Sathyesh, Sunil Prabhakar, Yicheng Tu:
  uRule: A Rule-Based Classification System for Uncertain Data. 1415-1418
  
• Deepak S. Turaga, Hyunggon Park, Rong Yan, Olivier Verscheure:
  Adaptive Multimedia Mining on Distributed Stream Processing Systems. 1419-1422
  

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