default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID12th ICDM Workshops 2012: Brussels, Belgium
- Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu:
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-5164-5 - Evrim Acar
, Gozde Gürdeniz, Morten A. Rasmussen, Daniela Rago, Lars O. Dragsted, Rasmus Bro:
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics. 1-8 - Roohallah Alizadehsani, Mohammad Javad Hosseini, Zahra Alizadeh Sani, Asma Ghandeharioun, Reihane Boghrati:
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. 9-16 - Ali Azari, Vandana Pursnani Janeja, Alex Mohseni:
Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach. 17-24 - K. Sai Deepak, Harikrishna G. N. Rai, P. Radha Krishna:
Figure Retrieval in Biomedical Literature. 25-32 - Brígida Mónica Faria, Luís Paulo Reis, Nuno Lau:
Cerebral Palsy EEG Signals Classification: Facial Expressions and Thoughts for Driving an Intelligent Wheelchair. 33-40 - Christopher E. Gillies, Xiaoli Gao, Nilesh V. Patel, Mohammad-Reza Siadat, George D. Wilson:
Improved Feature Selection by Incorporating Gene Similarity Into the LASSO. 41-48 - Ludmila I. Kuncheva, Christopher J. Smith, Yasir Iftikhar Syed, Christopher O. Phillips, Keir Edward Lewis:
Evaluation of Feature Ranking Ensembles for High-Dimensional Biomedical Data: A Case Study. 49-56 - Gyemin Lee, Ilan Rubinfeld, Zeeshan Syed:
Adapting Surgical Models to Individual Hospitals Using Transfer Learning. 57-63 - Yupu Liang, Dina Sokol, Sarah Zelikovitz:
Clustering Tandem Repeats via Trinucleotides. 64-71 - Hela Ltifi, Mounir Ben Ayed, Ghada Trabelsi, Adel M. Alimi:
Using Perspective Wall to Visualize Medical Data in the Intensive Care Unit. 72-78 - Abduljalil Mohamed, Khaled Bashir Shaban, Amr Mohamed:
Evidence Theory-Based Approach for Epileptic Seizure Detection Using EEG Signals. 79-85 - Junming Shao, Qinli Yang, Afra M. Wohlschläger, Christian Sorg:
Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining. 86-93 - Xin Song, Yuan-Chun Zhou, Kai Feng, Yan-Hui Li, Jian-Hui Li:
Discovering Aging-Genes by Topological Features in Drosophila melanogaster Protein-Protein Interaction Network. 94-98 - Jasmine Ion Titapiccolo, Manuela Ferrario, Sergio Cerutti, Maria G. Signorini, Carlo Barbieri, Flavio Mari, Emanuele Gatti:
Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis. 99-106 - Farnoush Farhadi, Elham Hoseini, Sattar Hashemi, Ali Hamzeh:
TeamFinder: A Co-clustering based Framework for Finding an Effective Team of Experts in Social Networks. 107-114 - Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Triclustering Approach for Time Evolving Graphs. 115-122 - Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans:
Concept-Based Biclustering for Internet Advertisement. 123-130 - András Király, János Abonyi, Asta Laiho, Attila Gyenesei:
Biclustering of High-throughput Gene Expression Data with Bicluster Miner. 131-138 - Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal:
Mining Local Staircase Patterns in Noisy Data. 139-146 - Aurore Lomet, Gérard Govaert, Yves Grandvalet:
An Approximation of the Integrated Classification Likelihood for the Latent Block Model. 147-153 - Arjun Bakshi, Raj Bhatnagar:
Learning Cost-Sensitive Rules for Non-forced Classification. 154-161 - Susan Lomax, Sunil Vadera, Mohammed Saraee:
A Multi-armed Bandit Approach to Cost-Sensitive Decision Tree Learning. 162-168 - Brian Quanz, Jun Huan:
When Additional Views are Not Free: Active View Completion for Multi-view Semi-Supervised Learning. 169-178 - Rita P. Ribeiro:
Towards Utility Maximization in Regression. 179-186 - Peter Sarlin:
A Weighted SOM for Classifying Data with Instance-Varying Importance. 187-193 - Xiaowan Zhang, Bao-Gang Hu:
Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects. 194-201 - Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian:
Sensor Network Localization for Moving Sensors. 202-209 - Sarvenaz Choobdar, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva:
Motif Mining in Weighted Networks. 210-217 - Tomasz Kajdanowicz, Wojciech Indyk, Przemyslaw Kazienko, Jakub Kukul:
Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing. 218-225 - Ji Meng Loh, Tamraparni Dasu:
Effect of Data Repair on Mining Network Streams. 226-233 - Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos:
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks. 234-241 - Luis Gregorio Moyano, Oscar R. Moll Thomae, Enrique Frías-Martínez:
Uncovering the Spatio-temporal Structure of Social Networks Using Cell Phone Records. 242-249 - Aidan O'Sullivan, Niall M. Adams, Iead Rezek:
Canonical Correlation Analysis for Detecting Changes in Network Structure. 250-257 - Saurav Pandit, Yang Yang, Nitesh V. Chawla:
Maximizing Information Spread through Influence Structures in Social Networks. 258-265 - Kenton White, Guichong Li, Nathalie Japkowicz:
Sampling Online Social Networks Using Coupling from the Past. 266-272 - Akinori Abe:
Data Mining in the Age of Curation. 273-279 - Hongyun Bao, Qiudan Li, Daniel Zeng, Heng Gao:
Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement. 280-286 - Jeroen D'Haen, Dirk Van den Poel:
Temporary Staffing Services: A Data Mining Perspective. 287-292 - Haruko Iwata, Shusaku Tsumoto, Shoji Hirano:
Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods. 293-300 - Takeshi Mitamura, Kenichi Yoshida:
Viewers' Side Analysis of Social Interests. 301-308 - Girish Keshav Palshikar, Mohammed Mudassar, Harrick M. Vin, Maitreya Natu:
Streamlining Service Levels for IT Infrastructure Support. 309-316 - Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Alisia R. Gill, Patricia I. Faur, Raphael Ezry:
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees. 317-323 - Keiji Takai:
Exploration of Dependencies among Sections in a Supermarket Using a Tree-Structured Undirected Graphical Model. 324-331 - Sidney Tsang, Gillian Dobbie, Yun Sing Koh:
Evaluating Fraud Detection Algorithms Using an Auction Data Generator. 332-339 - Andrey Volkov, Dirk Van den Poel:
Extracting Information from Sequences of Financial Ratios with Markov for Discrimination: An Application to Bankruptcy Prediction. 340-343 - Bettina Berendt, Sören Preibusch:
Exploring Discrimination: A User-centric Evaluation of Discrimination-Aware Data Mining. 344-351 - Sara Hajian, Josep Domingo-Ferrer:
A Study on the Impact of Data Anonymization on Anti-discrimination. 352-359 - Sara Hajian, Anna Monreale, Dino Pedreschi, Josep Domingo-Ferrer, Fosca Giannotti:
Injecting Discrimination and Privacy Awareness Into Pattern Discovery. 360-369 - Faisal Kamiran, Asim Karim, Sicco Verwer, Heike Goudriaan:
Classifying Socially Sensitive Data Without Discrimination: An Analysis of a Crime Suspect Dataset. 370-377 - Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Considerations on Fairness-Aware Data Mining. 378-385 - Koray Mancuhan, Chris Clifton:
Discriminatory Decision Policy Aware Classification. 386-393 - Andrea Romei, Salvatore Ruggieri, Franco Turini:
Discovering Gender Discrimination in Project Funding. 394-401 - Artur Andrzejak, João Bártolo Gomes:
Parallel Concept Drift Detection with Online Map-Reduce. 402-407 - Martin Harrigan, Padraig Cunningham, Lorcan Coyle:
Using Storm to Perform Dynamic Egocentric Network Motif Analysis. 408-415 - Anand Kannan, Gerald Q. Maguire Jr., Ayush Sharma, Peter Schoo:
Genetic Algorithm Based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks. 416-423 - Sharanjit Kaur, Dhriti Khanna, Tripti Gupta, Vasudha Bhatnagar:
Scalable Clustering Using PACT Programming Model. 424-430 - Asdrúbal López Chau, Xiaoou Li, Wen Yu:
Convex-Concave Hull for Classification with Support Vector Machine. 431-438 - Mohamed Riadh Trad, Alexis Joly, Nozha Boujemaa:
Large Scale KNN-Graph Approximation. 439-448 - Su-Qi Wang, Yu-Bin Yang, Yang Gao, Guang-Peng Chen, Yao Zhang:
MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering. 449-453 - Sashka T. Davis, John M. Conroy, Judith D. Schlesinger:
OCCAMS - An Optimal Combinatorial Covering Algorithm for Multi-document Summarization. 454-463 - Simon Fong, Zhou Nannan, Raymond K. Wong, Xin-She Yang:
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network. 464-473 - Satoshi Hara, Takashi Washio:
Anomalous Neighborhood Selection. 474-480 - Anca Maria Ivanescu, Thivaharan Albin, Dirk Abel, Thomas Seidl:
Employing the Principal Hessian Direction for Building Hinging Hyperplane Models. 481-485 - Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong:
Overlapping Clustering with Sparseness Constraints. 486-494 - Lingfeng Niu, Jianmin Wu:
Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information. 495-499 - Zhiquan Qi, Yingjie Tian, Yong Shi:
Regular Multiple Criteria Linear Programming for Semi-supervised Classification. 500-505 - Amirreza Shaban, Hamid R. Rabiee, Marzieh S. Tahaei, Erfan Salavati:
Nonlinear Unsupervised Feature Learning: How Local Similarities Lead to Global Coding. 506-513 - Chirine Wolley, Mohamed Quafafou:
Learning from Multiple Annotators: When Data is Hard and Annotators are Unreliable. 514-521 - Zhichen Xia, Chris H. Q. Ding, Edmond Chow:
Robust Kernel Nonnegative Matrix Factorization. 522-529 - Haizhen Yang, Yunpeng Song, Kun Guo:
The Performance of Alternative Exchange Rate Regimes and their Countries' Condition: Matching Analysis and Selection Model Building. 530-534 - Jinwei Zhao, Boqin Feng, Guirong Yan, Longlei Dong:
The Transfer Learning Based on Relationships between Attributes. 535-538 - Ramona Bunea, Shahab Mokarizadeh, Nima Dokoohaki, Mihhail Matskin:
Exploiting Dynamic Privacy in Socially Regularized Recommenders. 539-546 - Richard Chow, Manas A. Pathak, Cong Wang:
A Practical System for Privacy-Preserving Collaborative Filtering. 547-554 - Bo Gao, Bettina Berendt, Dave Clarke, Ralf De Wolf, Thomas Peetz, Jo Pierson, Rula Sayaf:
Interactive Grouping of Friends in OSN: Towards Online Context Management. 555-562 - Gábor György Gulyás, Sándor Imre:
Measuring Local Topological Anonymity in Social Networks. 563-570 - Tatiana Pontes, Gabriel Magno, Marisa A. Vasconcelos, Aditi Gupta, Jussara M. Almeida, Ponnurangam Kumaraguru, Virgílio A. F. Almeida:
Beware of What You Share: Inferring Home Location in Social Networks. 571-578 - Wilhelmiina Hämäläinen:
Thorough Analysis of Log Data with Dependency Rules: Practical Solutions and Theoretical Challenges. 579-586 - Michael E. Houle, Hisashi Kashima, Michael Nett:
Generalized Expansion Dimension. 587-594 - Christiane Kamdem Kengne, Léon Constantin Fopa, Noha Ibrahim, Alexandre Termier, Marie-Christine Rousset, Takashi Washio:
Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner. 595-602 - Shailesh Kumar, Chandrashekar V., C. V. Jawahar:
Logical Itemset Mining. 603-610 - Albrecht Zimmermann:
Generating Diverse Realistic Data Sets for Episode Mining. 611-618 - Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz:
The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. 619-628 - Honghua Dai, Sarah Keble-Johnston, Min Gan:
Reliable Knowledge Discovery with a Minimal Causal Model Inducer. 629-634 - Yan-Xing Hu, James N. K. Liu, Yuan Wang, Lucas K. C. Lai:
A Weighted Support Vector Data Description Based on Rough Neighborhood Approximation. 635-642 - Abdul Nurunnabi, Geoff A. W. West:
Outlier Detection in Logistic Regression: A Quest for Reliable Knowledge from Predictive Modeling and Classification. 643-652 - Darko Pevec, Igor Kononenko:
Model Selection with Combining Valid and Optimal Prediction Intervals. 653-658 - Kittitat Thamvitayakul, Shohei Shimizu, Tsuyoshi Ueno, Takashi Washio, Tatsuya Tashiro:
Bootstrap Confidence Intervals in DirectLiNGAM. 659-668 - Rahim Dehkharghani, Berrin A. Yanikoglu, Dilek Tapucu, Yücel Saygin:
Adaptation and Use of Subjectivity Lexicons for Domain Dependent Sentiment Classification. 669-673 - Gülsen Demiröz, Berrin A. Yanikoglu, Dilek Tapucu, Yücel Saygin:
Learning Domain-Specific Polarity Lexicons. 674-679 - Sheng Huang, Xinlan Liu, Xueping Peng, Zhendong Niu:
Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining. 680-686 - Emanuele Lapponi, Jonathon Read, Lilja Øvrelid:
Representing and Resolving Negation for Sentiment Analysis. 687-692 - Daniel Olsher:
Full spectrum opinion mining: integrating domain, syntactic and lexical knowledge. 693-700 - Filipa Peleja, Pedro Dias, João Magalhães:
A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings. 701-708 - Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay:
Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering. 709-716 - Robert Remus:
Domain Adaptation Using Domain Similarity- and Domain Complexity-Based Instance Selection for Cross-Domain Sentiment Analysis. 717-723 - Aleksander Wawer, Dominika Rogozinska:
How Much Supervision? Corpus-Based Lexeme Sentiment Estimation. 724-730 - Dominique Ziegelmayer, Rainer Schrader:
Sentiment Polarity Classification Using Statistical Data Compression Models. 731-738 - Olav Aarts, Peter-Paul van Maanen, Tanneke Ouboter, Jan Maarten Schraagen:
Online Social Behavior in Twitter: A Literature Review. 739-746 - Justin Stewart, Homer Strong, Jeffery Parker, Mark A. Bedau:
Twitter Keyword Volume, Current Spending, and Weekday Spending Norms Predict Consumer Spending. 747-753 - Yves van Gennip, Huiyi Hu, Blake Hunter, Mason A. Porter:
Geosocial Graph-Based Community Detection. 754-758 - Shin Ando:
Performance-Optimizing Classification of Time-Series Based on Nearest Neighbor Density Approximation. 759-764 - Le Van Quoc Anh, Michael Gertz:
Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies. 765-772 - Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar:
Approximate Search on Massive Spatiotemporal Datasets. 773-780 - Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick H. M. Semazzi, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova:
Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. 781-788 - Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. 789-796 - Dev Oliver, Shashi Shekhar, James M. Kang, Renee Laubscher, Veronica Carlan, Michael R. Evans:
Geo-referenced Time-Series Summarization Using k-Full Trees: A Summary of Results. 797-804 - Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie:
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. 805-812 - Vipul Raheja, Krishnan Sundara Rajan:
Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-temporal Disease Occurrences Patterns. 813-820 - Christian Sengstock, Michael Gertz, Tran Van Canh:
Spatial Interestingness Measures for Co-location Pattern Mining. 821-826 - George Valkanas, Dimitrios Gunopulos:
Location Extraction from Social Networks with Commodity Software and Online Data. 827-834 - Yingqin Gu, Lei Ji, Ziheng Jiang, Jun He:
Endless and Scalable Knowledge Table Extraction from Semi-structured Websites. 835-842 - P. Gowtham Srinivas, M. Sreyantha Chary, D. Satheesh Kumar, P. Santhi Thilagam:
Constructing and Exploring Composite Items Using Max-valid Bundles. 843-849 - Wenhan Wang, Ning Liu, Yiran Xie:
Learning to Extract Entity Uniqueness from Web for Helping User Decision Making. 850-857 - Balazs Godény:
Rule Based Product Name Recognition and Disambiguation. 858-860 - Gabor Melli, Christian Romming:
An Overview of the CPROD1 Contest on Consumer Product Recognition within User Generated Postings and Normalization against a Large Product Catalog. 861-864 - Lukasz Romaszko:
An Ensemble-Based Named Entity Recognition Solution for Detecting Consumer Products. 865-868 - Zhiqiang Toh, Wenting Wang, Man Lan, Xiaoli Li:
An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge: Description of Submission System to CPROD1 Challenge. 869-871 - Olexandr Topchylo:
Identification and Disambiguation of Product Mentions with Information Retrieval and Problem Specific Methods. 872-873 - Sen Wu, Zhanpeng Fang, Jie Tang:
Accurate Product Name Recognition from User Generated Content. 874-877 - Rawia Awadallah, Maya Ramanath, Gerhard Weikum:
OpinioNetIt: A Structured and Faceted Knowledge-base of Opinions. 878-881 - Anton Dimitrov, Alexandra Olteanu, Luke McDowell, Karl Aberer:
Topick: Accurate Topic Distillation for User Streams. 882-885 - Stephan Günnemann, Hardy Kremer, Richard Musiol, Roman Haag, Thomas Seidl:
A Subspace Clustering Extension for the KNIME Data Mining Framework. 886-889 - Zhung-Xun Liao, Po-Ruey Lei, Tsu-Jou Shen, Shou-Chung Li, Wen-Chih Peng:
Mining Temporal Profiles of Mobile Applications for Usage Prediction. 890-893 - Cássio A. Melo, Alexander Mikheev, Bénédicte Le Grand, Marie-Aude Aufaure:
Cubix: A Visual Analytics Tool for Conceptual and Semantic Data. 894-897 - Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. 898-901 - Stamatina Thomaidou, Konstantinos Leymonis, Kyriakos Liakopoulos, Michalis Vazirgiannis:
AD-MAD: Automated Development and Optimization of Online Advertising Campaigns. 902-905 - Ranga Raju Vatsavai:
Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images. 906-909 - Songhua Xing, Xuan Liu, Qing He, Arun Hampapur:
Mining Trajectories for Spatio-temporal Analytics. 910-913 - Ashish Bindra, Srinivasulu Pokuri, Krishna Uppala, Ankur Teredesai:
Distributed Big Advertiser Data Mining. 914 - Bart Buelens, Piet Daas, Jan A. van den Brakel:
Data Mining for Official Statistics: Challenges and Opportunities. 915 - Brendan Kitts, Dyng Au, Brian Burdick:
Tectonic Shifts in Television Advertising. 916 - Ranga Raju Vatsavai:
A Data Mining Framework for Monitoring Nuclear Facilities. 917 - Tanmay Basu, C. A. Murthy:
Effective Text Classification by a Supervised Feature Selection Approach. 918-925 - Enric Junqué de Fortuny, David Martens:
Active Learning Based Rule Extraction for Regression. 926-933 - Huiyi Hu, Yves van Gennip, Blake Hunter, Andrea L. Bertozzi, Mason A. Porter:
Multislice Modularity Optimization in Community Detection and Image Segmentation. 934-936 - Alexandros Karakasidis, Vassilios S. Verykios:
A Sorted Neighborhood Approach to Multidimensional Privacy Preserving Blocking. 937-944 - Victor C. Liang, Vincent T. Y. Ng:
Modeling of Collective Synchronous Behavior on Social Media. 945-952 - Gert Loterman, Christophe Mues:
Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning. 953-960 - Bart Minnaert, David Martens:
Towards a Particle Swarm Optimization-Based Regression Rule Miner. 961-963 - Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers:
Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. 964-971
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-04 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
