11. ICDM Workshops 2011:
Vancouver, BC, Canada
Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu (Eds.):
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011.
IEEE 2011, ISBN 978-0-7695-4409-0 
2011 Workshop on Knowledge Discovery from Climate Data:
Prediction, Extremes, and Impacts
- Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly:
Sparse Group Lasso for Regression on Land Climate Variables.
1-8
- William Hendrix, Isaac K. Tetteh, Ankit Agrawal, Fredrick H. M. Semazzi, Wei-keng Liao, Alok N. Choudhary:
Community Dynamics and Analysis of Decadal Trends in Climate Data.
9-14
- Vasanth Iyer, S. Sitharama Iyengar:
Modeling Unreliable Data and Sensors: Using F-measure Attribute Performance with Test Samples from Low-Cost Sensors.
15-22
- Vladimir Jovanovic, Margaret H. Dunham, Michael Hahsler, Yu Su:
Evaluating Hurricane Intensity Prediction Techniques in Real Time.
23-29
- Kollukuduru Sravanthi, K. S. Rajan:
Spatio-Temporal Mining of Core Regions: Study of Rainfall Patterns in Monsoonal India.
30-37
- Wei Zhuo, Prabhat, Chris Paciorek, Cari Kaufman, Wes Bethel:
Parallel Kriging Analysis for Large Spatial Datasets.
38-44
ICDM SENTIRE:
Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
- Brett W. Bader, W. Philip Kegelmeyer, Peter A. Chew:
Multilingual Sentiment Analysis Using Latent Semantic Indexing and Machine Learning.
45-52
- Anthony Brew, Derek Greene, Daniel Archambault, Padraig Cunningham:
Deriving Insights from National Happiness Indices.
53-60
- Lin Dai, Hechun Chen, Xuemei Li:
Improving Sentiment Classification Using Feature Highlighting and Feature Bagging.
61-66
- Giuseppe Di Fabbrizio, Ahmet Aker, Robert J. Gaizauskas:
STARLET: Multi-document Summarization of Service and Product Reviews with Balanced Rating Distributions.
67-74
- Roula Hobeica, Hazem M. Hajj, Wassim El-Hajj:
Machine Reading for Notion-Based Sentiment Mining.
75-80
- Bin Lu, Myle Ott, Claire Cardie, Benjamin K. Tsou:
Multi-aspect Sentiment Analysis with Topic Models.
81-88
- Samaneh Moghaddam, Martin Ester:
AQA: Aspect-based Opinion Question Answering.
89-96
- Livia Polanyi, Martin van den Berg:
Discourse Structure and Sentiment.
97-102
- Xiaojun Quan, Liu Wenyin, Wenyu Dou:
Longitudinal Sales Responses with Online Reviews.
103-108
- Shabnam Shariaty, Samaneh Moghaddam:
Fine-Grained Opinion Mining Using Conditional Random Fields.
109-114
- Evgeny A. Stepanov, Giuseppe Riccardi:
Detecting General Opinions from Customer Surveys.
115-122
- Aleksander Wawer:
Mining Opinion Attributes from Texts Using Multiple Kernel Learning.
123-128
- Kunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Ankit Agrawal, Diana Palsetia, Kathy Lee, Wei-keng Liao, Alok N. Choudhary:
SES: Sentiment Elicitation System for Social Media Data.
129-136
KDCloud 2011:
International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms
- Kanishka Bhaduri, Kamalika Das, Bryan L. Matthews:
Detecting Abnormal Machine Characteristics in Cloud Infrastructures.
137-144
- Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh:
Frequent Pairs in Data Streams: Exploiting Parallelism and Skew.
145-150
- Giuseppe Di Fatta, Francesco Blasa, Simone Cafiero, Giancarlo Fortino:
Epidemic K-Means Clustering.
151-158
- Songtao Guo, Jianxiong Dong:
A Large Scale URL Verification Pipeline Using Hadoop.
159-166
- James Horey, Brent Lagesse:
Latency Minimizing Tasking for Information Processing Systems.
167-173
- Qiuhong Li, Zhihui Wang, Wei Wang, Yimin Liu, Peng Wang, Tao Yu:
LI-MR: A Local Iteration Map/Reduce Model and Its Application to Mine Community Structure in Large-Scale Networks.
174-179
- Christopher McCubbin, Bryan Perozzi, Andrew Levine, Abdul Rahman:
Finding the 'Needle': Locating Interesting Nodes Using the K-shortest Paths Algorithm in MapReduce.
180-187
- Jonathan Tancer, Aparna S. Varde:
The Deployment of MML for Data Analytics over the Cloud.
188-195
- Dean Teffer, Amanda Hutton, Joydeep Ghosh:
Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures.
196-203
OEDM 2011:
The 6th Workshop on Optimization Based Techniques for Emerging Data Mining Problems
- Yibing Chen, Lingling Zhang, Yong Shi:
Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning Management.
204-211
- Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Learning to Group Web Text Incorporating Prior Information.
212-219
- Lena Chekina, Lior Rokach, Bracha Shapira:
Meta-learning for Selecting a Multi-label Classification Algorithm.
220-227
- Mehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali-Asghar Soltani-Farani:
Efficient Iterative Semi-supervised Classification on Manifold.
228-235
- Stephen L. France, Ahmed Abbasi:
Boosting Unsupervised Additive Clustering Using Cluster-Wise Optimization and Multi-label Learning.
236-243
- Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban:
Active Learning from Positive and Unlabeled Data.
244-250
- Kathy Lee, Diana Palsetia, Ramanathan Narayanan, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
Twitter Trending Topic Classification.
251-258
- Nan Li, Naoki Abe:
Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning.
259-266
- Lingfeng Niu, Jianmin Wu, Yong Shi:
Entity Resolution with Attribute and Connection Graph.
267-271
- Jacques-Henri Sublemontier, Lionel Martin, Guillaume Cleuziou, Matthieu Exbrayat:
Integrating Pairwise Constraints into Clustering Algorithms: Optimization-Based Approaches.
272-279
- Warawut Suphamitmongkol, Guangli Nie, Rong Liu, Yong Shi:
Classification for Orange Varieties Using Near Infrared Spectroscopy.
280-285
- Ashutosh Tewari, Michael Giering, Arvind Raghunathan:
Parametric Characterization of Multimodal Distributions with Non-gaussian Modes.
286-292
- Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Kernel-Based Clustering with Automatic Cluster Number Selection.
293-299
- Jian-Sheng Wu, Jian-Huang Lai, Chang-Dong Wang:
A Novel Co-clustering Method with Intra-similarities.
300-306
- Huasheng Zhu, Peng Wang, Wei Wang, Baile Shi:
Stream Prediction Using Representative Episode Rules.
307-314
DMCCI 2011:
Data Mining Technologies for Computational Collective Intelligence
- Erik Cambria, Yangqiu Song, Haixun Wang, Amir Hussain:
Isanette: A Common and Common Sense Knowledge Base for Opinion Mining.
315-322
- Siyuan Liu, Lei Li, Christos Faloutsos, Lionel M. Ni:
Mobile Phone Graph Evolution: Findings, Model and Interpretation.
323-330
- Abiodun Modupe, Oludayo O. Olugbara, Sunday O. Ojo:
Exploring Support Vector Machines and Random Forests to Detect Advanced Fee Fraud Activities on Internet.
331-335
- Huan-Kai Peng, Jiang Zhu, Dongzhen Piao, Rong Yan, Ying Zhang:
Retweet Modeling Using Conditional Random Fields.
336-343
- Jierui Xie, Boleslaw K. Szymanski, Xiaoming Liu:
SLPA: Uncovering Overlapping Communities in Social Networks via a Speaker-Listener Interaction Dynamic Process.
344-349
COMMPER 2011:
Workshop on Mining Communities and People Recommenders
- Michele Brocco, Yonata Andrelo Asikin:
Employing Team Composition Strategies for Recommending Teams.
350-357
- Yuxiao Dong, Qing Ke, Jun Rao, Bai Wang, Bin Wu:
Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks.
358-365
- Farnoush Farhadi, Maryam Sorkhi, Sattar Hashemi, Ali Hamzeh:
An Effective Expert Team Formation in Social Networks Based on Skill Grading.
366-372
- Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman:
Time-Aware Ranking in Dynamic Citation Networks.
373-380
- Reihaneh Rabbany Khorasgani, Osmar R. Zaïane:
A Diffusion of Innovation-Based Closeness Measure for Network Associations.
381-388
DDDM 2011:
Workshop on Domain Driven Data Mining
- Saima Aman, Yogesh Simmhan, Viktor K. Prasanna:
Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators.
389-397
- Djellel Eddine Difallah, Ryan G. Benton, Vijay Raghavan, Tom Johnsten:
FAARM: Frequent Association Action Rules Mining Using FP-Tree.
398-404
- Jui Hsi Fu, Sing Ling Lee:
Certainty-Enhanced Active Learning for Improving Imbalanced Data Classification.
405-412
- Zhichun Fu, Peter Christen, Mac Boot:
Automatic Cleaning and Linking of Historical Census Data Using Household Information.
413-420
- Yanqing Ji, Hao Ying, John Tran, Peter Dews, Ayman Mansour, R. Michael Massanari:
Mining Infrequent Causal Associations in Electronic Health Databases.
421-428
- Xu Chan Ju, Ying Jie Tian:
A Novel Knowledge-Based Twin Support Vector Machine.
429-433
- Yintao Liu, Ke-Thia Yao, Shuping Liu, Cauligi S. Raghavendra, Oluwafemi Balogun, Lanre Olabinjo:
Semi-supervised Failure Prediction for Oil Production Wells.
434-441
- Hassan H. Malik, Vikas S. Bhardwaj:
Automatic Training Data Cleaning for Text Classification.
442-449
- Nikos Mitsou, Irene Ntoutsi, Dirk Wollherr, Costas S. Tzafestas, Hans-Peter Kriegel:
Revealing Cluster Formation over Huge Volatile Robotic Data.
450-457
- Franca Piazza, Stefan Strohmeier:
Domain-Driven Data Mining in Human Resource Management: A Review.
458-465
- Thomas Piton, Julien Blanchard, Fabrice Guillet:
CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and Profitability.
466-473
- Balaji Vasan Srinivasan, Nathan Gnanasambandam, Shi Zhao, Raj Minhas:
Domain-Specific Adaptation of a Partial Least Squares Regression Model for Loan Defaults Prediction.
474-479
- Ramzan Talib, Bernhard Volz, Stefan Jablonski:
Agent Assignment for Process Management: Competency-Driven Dynamic Resource Management Methodology.
480-487
MMIS 2011:
The 5th International Workshop on Mining Multiple Information Sources
- Naouel Baili, Hichem Frigui:
Relational Fuzzy Clustering with Multiple Kernels.
488-495
- Paolo Cremonesi, Antonio Tripodi, Roberto Turrin:
Cross-Domain Recommender Systems.
496-503
- Mohammed Gollapalli, Xue Li, Ian Wood, Guido Governatori:
Approximate Record Matching Using Hash Grams.
504-511
- You Ji, Shiliang Sun:
Multitask Multiclass Support Vector Machines.
512-518
- Duy-Dinh Le, Shin'ichi Satoh:
Indexing Faces in Broadcast News Video Archives.
519-526
- Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski:
Greedy Regularized Least-Squares for Multi-task Learning.
527-533
- Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler:
Using Modified Multivariate Bag-of-Words Models to Classify Physiological Data.
534-539
- Judea Pearl, Elias Bareinboim:
Transportability of Causal and Statistical Relations: A Formal Approach.
540-547
- Ipek Tatli, Aysenur Birturk:
A Tag-Based Hybrid Music Recommendation System Using Semantic Relations and Multi-domain Information.
548-554
HaCDAIS 2011:
Handling Concept Drift and Reoccurring Contexts in Adaptive Information Systems
- Iris Adä, Michael R. Berthold:
Unifying Change - Towards a Framework for Detecting the Unexpected.
555-559
- Edward Tersoo Apeh, Bogdan Gabrys:
Change Mining of Customer Profiles Based on Transactional Data.
560-567
- Murad Badarna, Ran Wolff:
Detecting Mean Changes in Data Streams.
568-572
- Jorn Bakker, Mykola Pechenizkiy, Natalia Sidorova:
What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data.
573-580
- Mark Eastwood, Petr Kadlec:
Interpretable, Online Soft-Sensors for Process Control.
581-587
- Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection.
588-595
- Georg Krempl, Vera Hofer:
Classification in Presence of Drift and Latency.
596-603
- Patrick Lindstrom, Brian Mac Namee, Sarah Jane Delany:
Drift Detection Using Uncertainty Distribution Divergence.
604-608
- Gregor Stiglic, Peter Kokol:
Interpretability of Sudden Concept Drift in Medical Informatics Domain.
609-613
PADM 2011:
Third International Workshop on Privacy Aspects of Data Mining
- John M. Abowd, Matthew J. Schneider:
An Application of Differentially Private Linear Mixed Modeling.
614-619
- Rajesh Bejugam, Kristen LeFevre:
enList: Automatically Simplifying Privacy Policies.
620-627
- Stephen E. Fienberg, Aleksandra B. Slavkovic, Caroline Uhler:
Privacy Preserving GWAS Data Sharing.
628-635
- Georgios Kalogridis, Stojan Z. Denic:
Data Mining and Privacy of Personal Behaviour Types in Smart Grid.
636-642
- Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma:
Fairness-aware Learning through Regularization Approach.
643-650
- Joo-Ho Lee, In-Yong Kim, Christine M. O'Keefe:
Applicability of Regression-Tree-Based Synthetic Data Methods for Business Data.
651-658
- Yidong Li, Hong Shen:
Preventing Identity Disclosure in Hypergraphs.
659-665
- Jinfei Liu, Jun Luo, Joshua Zhexue Huang:
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements.
666-673
- Nisarg Raval, Madhuchand Rushi Pillutla, Piyush Bansal, Kannan Srinathan, C. V. Jawahar:
Privacy Preserving Outlier Detection Using Locality Sensitive Hashing.
674-681
LEMIR 2011:
International Workshop on Learning and Data Mining for Robots
DMCS 2011:
The Fourth Workshop on Data Mining Case Studies
- Noraswaliza Abdullah, Yue Xu, Shlomo Geva:
Integrating Collaborative Filtering and Search-Based Techniques for Personalized Online Product Recommendation.
711-718
- Noora Mohammad Al-Naimi, Khaled Bashir Shaban:
"The 100 Most Influential Persons in History": A Data Mining Perspective.
719-724
- Alejandro Correa Bahnsen, Andres M. Gonzalez:
Evolutionary Algorithms for Selecting the Architecture of a MLP Neural Network: A Credit Scoring Case.
725-732
- Slava Borodovsky, Saharon Rosset:
A/B Testing at SweetIM: The Importance of Proper Statistical Analysis.
733-740
- Sergiy Fefilatyev, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Andrew Remsen, Kendra Daly:
Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform.
741-748
- Haengju Lee, Nathan Gnanasambandam, Raj Minhas, Shi Zhao:
Dynamic Loan Service Monitoring Using Segmented Hidden Markov Models.
749-754
- Ching Lien, Silvia Figueira:
An Analysis of Treatment Patterns: A Case Study on Carpal Tunnel Syndrome.
755-762
- Viraj Phanse, Sourabh Deorah:
Evaluation and Extension to the Duckworth Lewis Method: A Dual Application of Data Mining Techniques.
763-770
- Yoshihisa Udagawa:
An Augmented Vector Space Information Retrieval for Recovering Requirements Traceability.
771-778
- Chung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding:
Crime Forecasting Using Data Mining Techniques.
779-786
LSVA 2011:
Large Scale Visual Analytics
- Wei Chen, Ming Shao, Yun Fu:
Clustering Based Fast Low-Rank Approximation for Large-Scale Graph.
787-792
- Deying Feng, Jie Yang, Cheng Yang:
Efficient Indexing for Mobile Image Retrieval.
793-798
- Shuangping Huang, Lianwen Jin, Xiaoxin Wei:
Online Heterogeneous Feature Fusion for Visual Recognition.
799-803
- Carson Kai-Sang Leung, Fan Jiang, Pourang P. Irani:
FpMapViz: A Space-Filling Visualization for Frequent Patterns.
804-811
- Jun Li, Dacheng Tao:
Wisdom of Crowds: Single Image Super-resolution from the Web.
812-816
- Yangxi Li, Bo Geng, Chao Zhou, Chao Xu:
Learning to Combine Ad-hoc Ranking Functions for Image Retrieval.
817-822
- Jasper Snoek, Luciano Sbaiz, Hrishikesh Aradhye:
From Videos to Places: Geolocating the World's Videos.
823-832
- Supaporn Spanurattana, Tsuyoshi Murata:
Visual Analysis of Bipartite Networks.
833-838
- Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Incremental Support Vector Clustering.
839-846
- Luming Zhang, Mingli Song, Xiaoyu Deng, Jiajun Bu, Chun Chen:
Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets.
847-852
SSTDM 2011:
International Workshop on Spatial and Spatio-Temporal Data Mining
- Yi-Cheng Chen, Chao-Ying Wu, Suh-Yin Lee:
Incremental Maintenance of Topological Patterns in Spatial-Temporal Database.
853-860
- Bi-Ru Dai, Meng-Yan Lin:
Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations.
861-868
- Ranga Raju Vatsavai:
High-Resolution Urban Image Classification Using Extended Features.
869-876
- Lei Sun, Yujiu Yang, Wenhuang Liu:
Trended DTW Based on Piecewise Linear Approximation for Time Series Mining.
877-884
- Guangquan Li, Sylvia Richardson, Lea Fortunato, Ismaïl Ahmed, Anna Hansell, Mireille Toledano, Nicky Best:
Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect.
885-890
- Erik Mellegârd, Simon Moritz, Mohamed Zahoor:
Origin/Destination-estimation Using Cellular Network Data.
891-896
- Shun Hattori:
Linearly-Combined Web Sensors for Spatio-temporal Data Extraction from the Web.
897-904
- Gautam S. Thakur, Pan Hui, Hamed Ketabdar, Ahmed Helmy:
Spatial and Temporal Analysis of Planet Scale Vehicular Imagery Data.
905-910
- Shigeru Takano, Einoshin Suzuki:
New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms.
911-916
DaMNet 2011:
International Workshop on Data Mining in Networks
- Ana Paula Appel, Estevam Rafael Hruschka Junior:
Prophet - A Link-Predictor to Learn New Rules on NELL.
917-924
- Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman:
Temporal Scale of Processes in Dynamic Networks.
925-932
- Habiba, Tanya Y. Berger-Wolf:
Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks.
933-940
- Xiao He, Jing Feng, Claudia Plant:
Automatically Spotting Information-Rich Nodes in Graphs.
941-948
- Kai Liu, William K. Cheung, Jiming Liu:
Stochastic Network Motif Detection in Social Media.
949-956
- Vladimir Ouzienko, Zoran Obradovic:
Imputation of Missing Links and Attributes in Longitudinal Social Surveys.
957-964
- Lalith Polepeddi, Ankit Agrawal, Alok N. Choudhary:
Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article.
965-968
- Fergal Reid, Neil J. Hurley:
Diffusion in Networks with Overlapping Community Structure.
969-978
- Giulio Rossetti, Michele Berlingerio, Fosca Giannotti:
Scalable Link Prediction on Multidimensional Networks.
979-986
- Janne Toivola, Jaakko Hollmén:
Collaborative Filtering for Coordinated Monitoring in Sensor Networks.
987-994
BioDM 2011:
The Second Workshop on Biological Data Mining and Its Applications in Healthcare
- Ankit Agrawal, Alok N. Choudhary:
Identifying HotSpots in Lung Cancer Data Using Association Rule Mining.
995-1002
- Shobeir Fakhraei, Hamid Soltanian-Zadeh, Kourosh Jafari-Khouzani, Kost V. Elisevich, Farshad Fotouhi:
Confident Surgical Decision Making in Temporal Lobe Epilepsy by Heterogeneous Classifier Ensembles.
1003-1009
- Célia Talma Gonçalves, Rui Camacho, Eugenio Oliveira:
From Sequences to Papers: An Information Retrieval Exercise.
1010-1017
- Faisal M. Khan, Qiuhua Liu:
Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical Prognosis.
1018-1025
- Truc Viet Le, Chee Keong Kwoh, Eng Soon Teo, Kheng Hock Lee:
Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions.
1026-1033
- S. Seth Long, Lawrence B. Holder:
Graph Based Classification of MRI Data Based on the Ventricular System.
1034-1041
- Yi Mao, Yixin Chen, Gregory Hackmann, Minmin Chen, Chenyang Lu, Marin Kollef, Thomas C. Bailey:
Medical Data Mining for Early Deterioration Warning in General Hospital Wards.
1042-1049
- Eshita Mutt, Abhijit Mitra, R. Sowdhamini:
Mining Protein Sequence Databases for Remote Homologues That Can Display Considerable Domain Length Variations.
1050-1057
- Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús:
Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization.
1058-1063
- Clyde F. Phelix, Richard G. LeBaron, Dawnlee J. Roberson, Rosa E. Villanueva, Greg Villareal, Omid B. Rahimi, Sandra Siedlak, Xiongwei Zhu, George Perry:
In Vivo and In Silico Evidence: Hippocampal Cholesterol Metabolism Decreases with Aging and Increases with Alzheimers Disease - Modeling Brain Aging and Disease.
1064-1070
- Divya P. Syamaladevi, Singaravelu Kalaimathy, Naseer Pasha, S. Subramonian, Ramanathan Sowdhamini:
A Three-Step Validation Following Genome-Wide Data Mining for Myosin Family Members Improves Search Efficiency.
1071-1074
- Miao Wang, Xuequn Shang, Miao Miao, Zhanhuai Li, Wenbin Liu:
FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset.
1075-1082
DPM 2011:
Declarative Pattern Mining
- Daniel Borchmann, Felix Distel:
Mining of EL-GCIs.
1083-1090
- Emmanuel Coquery, Saïd Jabbour, Lakhdar Sais:
A Constraint Programming Approach for Enumerating Motifs in a Sequence.
1091-1097
- Fabien De Marchi:
CLIM: Closed Inclusion Dependency Mining in Databases.
1098-1103
- Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt:
Declarative Heuristic Search for Pattern Set Mining.
1104-1111
- Jean-Philippe Métivier, Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari, Samir Loudni:
A Constraint-Based Language for Declarative Pattern Discovery.
1112-1119
- Siegfried Nijssen, Aída Jiménez, Tias Guns:
Constraint-Based Pattern Mining in Multi-relational Databases.
1120-1127
ContrastDM 2011:
Contrast Data Mining and Applications
ContrastDM 2011:
Contrast Data Mining and Applications
- Michel Ballings, Dries F. Benoit, Dirk Van den Poel:
RFM Variables Revisited Using Quantile Regression.
1163-1169
- Shinya Miyazaki, Takashi Washio, Katsutoshi Yada:
Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID.
1170-1176
- Daisuke Nakajima, Yuki Mitsui, Masaki Samejima, Masanori Akiyoshi:
An Information Extraction Method from Different Structural Web Sites by Word Distances between a User Instantiated Label and Similar Entity.
1177-1182
- Shusaku Tsumoto, Shoji Hirano, Yuko Tsumoto:
Visualization of Hospital Services Using Data Mining Methods.
1183-1190
- Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic:
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations.
1191-1198
PhD Forum
Demo Papers
- Jeroen De Knijf, Anthony M. L. Liekens, Walter Daelemans, Peter De Rijk, Jurgen Del-Favero, Bart Goethals:
BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain.
1223-1226
- Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data.
1227-1230
- Mehdi Kargar, Aijun An:
TeamExp: Top-k Team Formation in Social Networks.
1231-1234
- Negar Koochakzadeh, Atieh Sarraf, Keivan Kianmehr, Jon G. Rokne, Reda Alhajj:
NetDriller: A Powerful Social Network Analysis Tool.
1235-1238
- Hechen Liu, Ling-Yin Wei, Yu Zheng, Markus Schneider, Wen-Chih Peng:
Route Discovery from Mining Uncertain Trajectories.
1239-1242
- Shamita Pisal, Japinder Singh, Magdalini Eirinaki:
AskUs: An Opinion Search Engine.
1243-1246
- Erik Tromp, Mykola Pechenizkiy:
SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence.
1247-1250
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