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ORCID11th ICDM Workshops 2011: Vancouver, BC, Canada
- Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011. IEEE Computer Society 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, Krishnan Sundara Rajan:
Spatio-Temporal Mining of Core Regions: Study of Rainfall Patterns in Monsoonal India. 30-37 - Wei Zhuo, Prabhat, Christopher J. 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 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 - Huisheng 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 Olusegun 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 V. 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 A. 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
- Somar Boubou, Asuki Kouno, Einoshin Suzuki:
Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit. 682-688 - Wang-Zhou Dai, Yang Yu, Zhi-Hua Zhou:
Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process. 689-696 - Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama:
Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. 697-704 - David Meunier, Michèle Sebag, Shin Ando:
Characterizing Anomalous Behaviors and Revising Robotic Controllers. 705-710
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 B. 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, Léa 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, Eugénio C. 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, Ramanathan 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
- Christopher L. Carmichael, Yaroslav Hayduk, Carson Kai-Sang Leung:
Visually Contrast Two Collections of Frequent Patterns. 1128-1135 - Xiangtao Chen, Lijuan Lu:
A New Algorithm Based on Shared Pattern-Tree to Mine Shared Emerging Patterns. 1136-1140 - Guozhu Dong, James Bailey:
Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book. 1141-1146 - Tomonobu Ozaki, Minoru Etoh:
Correlation and Contrast Link Formation Patterns in a Time Evolving Graph. 1147-1154 - Arnaud Soulet, Bruno Crémilleux, Marc Plantevit:
Summarizing Contrasts by Recursive Pattern Mining. 1155-1162
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
- Jianquan Liu, Hanxiong Chen, Kazutaka Furuse, Hiroyuki Kitagawa, Jeffrey Xu Yu:
On Efficient Distance-Based Similarity Search. 1199-1202 - Diane Oyen:
Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures. 1203-1206 - Vamsi K. Potluru:
Understanding and Exploiting the Connections between NMF and SVM. 1207-1210 - Mansoureh Takaffoli:
Community Evolution in Dynamic Social Networks - Challenges and Problems. 1211-1214 - Nenad Tomasev, Dunja Mladenic:
Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences. 1215-1218 - Mikalai Tsytsarau, Themis Palpanas:
Towards a Framework for Detecting and Managing Opinion Contradictions. 1219-1222
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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