default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID10th ICDM Workshops 2010: Sydney, Australia
- Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4257-7
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, Krishnan Sundara 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 A. Navrátil, 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 M. 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 - (Withdrawn) Modeling the Temporal Dynamics of Social Rating Networks Using Bidirectional Effects of Social Relations and Rating Patterns. 344-351
- 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 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 R. 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 M. 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 M. 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, Alexander 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. Q. 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, Jiahang Chen:
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
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 2026-01-27 00:40 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:
