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ORCID13th ICDM Workshops 2013: Dallas, TX, USA
- Wei Ding, Takashi Washio, Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu:
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013. IEEE Computer Society 2013, ISBN 978-0-7695-5109-8 - Juan M. Banda
, Chang Liu, Rafal A. Angryk:
Region-Based Querying of Solar Data Using Descriptor Signatures. 1-7 - Farhan Feroz:
Calculation and Applications of Bayesian Evidence in Astrophysics and Particle Physics Phenomenology. 8-15 - Philip Graff, Farhan Feroz, Michael P. Hobson, Anthony N. Lasenby:
Neural Networks for Astronomical Data Analysis and Bayesian Inference. 16-23 - Kitty K. Lo, Tara Murphy, Umaa Rebbapragada, Kiri Wagstaff:
Online Classification for Time-Domain Astronomy. 24-31 - Patrick M. McInerney, Juan M. Banda, Rafal A. Angryk:
On Using SIFT Descriptors for Image Parameter Evaluation. 32-39 - Dina Said, Jeroen Stil, Russ Taylor, Ken Barker:
Automatic Identification of Hexagonal Pattern Artifacts in Radio Astronomical Surveys. 40-47 - Miriam Baglioni, Stefania Pieroni, Filippo Geraci, Fabio Mariani, Sabrina Molinaro, Marco Pellegrini, Ernesto Lastres:
A New Framework for Distilling Higher Quality Information from Health Data via Social Network Analysis. 48-55 - Katherine Redfield Chan, Xinghua Lou, Theofanis Karaletsos, Christopher Crosbie, Stuart M. Gardos, David Artz, Gunnar Rätsch:
An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes. 56-63 - Sheehan Khan, Russell Greiner:
Finding Discriminatory Genes: A Methodology for Validating Microarray Studies. 64-71 - Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh:
Constrained Gaussian Process Regression for Gene-Disease Association. 72-79 - Xinyu Wang, Chunhong Zhang, Li Sun:
An Improved Model for Depression Detection in Micro-Blog Social Network. 80-87 - Julia Warnke, Hesham H. Ali:
A Tolerance Graph Approach for Domain-Specific Assembly of Next Generation Sequencing Data. 88-95 - Chao Wu, Arjun Bakshi, Bruce J. Aronow, Anil G. Jegga, Raj Bhatnagar:
A Biclustering Algorithm to Discover Functional Modules from ENCODE ChIP-Seq Data. 96-103 - Marina Demeshko, Takashi Washio, Yoshinobu Kawahara:
A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System. 104-113 - Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun:
Mining Causal Association Rules. 114-123 - Shun Yao, Shinjae Yoo, Dantong Yu:
Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery. 124-130 - Lukasz Zaniewicz, Szymon Jaroszewicz:
Support Vector Machines for Uplift Modeling. 131-138 - Kun Zhang, Zhikun Wang, Bernhard Schölkopf:
On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example. 139-146 - Paolo Cintia, Luca Pappalardo, Dino Pedreschi:
"Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance. 147-153 - William A. R. De Souza, Allan Tomlinson:
A Distinguishing Attack with a Neural Network. 154-161 - Ekrem Duman, Ayse Buyukkaya, Ilker Elikucuk:
A Novel and Successful Credit Card Fraud Detection System Implemented in a Turkish Bank. 162-171 - Brendan Kitts:
The Making of a Large-Scale Online Ad Server: Practical Lessons Building One of the World's Largest Online Ad Servers. 172-179 - Inna Kolyshkina, Marcus Brownlow, Jarrad Taylor:
Improving Every Child's Chance in Life. 180-184 - Blaise Ngonmang, Savaneary Sean, Remi Kirche:
Monetization and Services on a Real Online Social Network Using Social Network Analysis. 185-193 - Raul Pavon, Beth Carpenter:
Synthesis of Decision Making: From Data to Business Execution. 194-200 - Michel Ballings, Dirk Van den Poel:
Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn. 201-205 - Shoji Hirano, Shusaku Tsumoto:
Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates. 206-210 - Ban Kawas, Mark S. Squillante, Dharmashankar Subramanian, Kush R. Varshney:
Prescriptive Analytics for Allocating Sales Teams to Opportunities. 211-218 - Anuja Kelkar, Utkarsh Naiknaware, Sachin Sukhlecha, Ashish Sanadhya, Maitreya Natu, Vaishali P. Sadaphal:
Analytics-Based Solutions for Improving Alert Management Service for Enterprise Systems. 219-227 - Edward M. L. Peters, Guido Dedene, Jonas Poelmans:
Understanding Service Quality and Customer Churn by Process Discovery for a Multi-National Banking Contact Center. 228-233 - Natsuki Sano, Tomomichi Suzuki:
Evaluation of Discount Effects Using Poisson Regression Based on Interaction Effects between Bargain Scale and Product Category. 234-241 - Yi Zuo, Katsutoshi Yada:
Application of Bayesian Network Sheds Light on Purchase Decision Process Basing on RFID Technology. 242-249 - Oliver Bonham-Carter, Jay Pedersen, Lotfollah Najjar, Dhundy Bastola:
Modeling the Effects of Microgravity on Oxidation in Mitochondria: A Protein Damage Assessment across a Diverse Set of Life Forms. 250-257 - Carlo Combi, Paolo Parise, Pietro Sala, Giuseppe Pozzi:
Mining Approximate Temporal Functional Dependencies Based on Pure Temporal Grouping. 258-265 - Barnan Das, Narayanan Chatapuram Krishnan, Diane J. Cook:
Handling Class Overlap and Imbalance to Detect Prompt Situations in Smart Homes. 266-273 - Samah Jamal Fodeh, Maryan Zirkle, Dezon Finch, Ruth M. Reeves, Joseph Erdos, Cynthia Brandt:
MedCat: A Framework for High Level Conceptualization of Medical Notes. 274-280 - Ran Qi, Shujia Zhou:
Simulated Annealing Partitioning: An Algorithm for Optimizing Grouping in Cancer Data. 281-286 - Jose R. Zamacona, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu:
Reducing Classification Cost through Strategic Annotation Assignment. 287-294 - Alexander Allan, Ross Humphrey, Giuseppe Di Fatta:
Non-Euclidean Internet Coordinates Embedding. 295-302 - Seung-Hee Bae, Daniel Halperin, Jevin D. West, Martin Rosvall, Bill Howe:
Scalable Flow-Based Community Detection for Large-Scale Network Analysis. 303-310 - Dean Adam Bodenham, Niall M. Adams:
Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation. 311-318 - Hedde H. W. J. Bosman, Antonio Liotta, Giovanni Iacca, Heinrich J. Wörtche:
Online Extreme Learning on Fixed-Point Sensor Networks. 319-326 - Kathryn Dempsey, Ishwor Thapa, Claudia Cortes, Zach Eriksen, Dhundy Bastola, Hesham H. Ali:
On Mining Biological Signals Using Correlation Networks. 327-334 - Sait Murat Giray, Aydin Goze Polat:
Evaluation and Comparison of Classification Techniques for Network Intrusion Detection. 335-342 - Rohan Khazanchi, Kathryn Dempsey, Ishwor Thapa, Hesham H. Ali:
On Identifying and Analyzing Significant Nodes in Protein-Protein Interaction Networks. 343-348 - Dilin Wang, Lei Shi, Jianwen Cao:
Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction. 349-356 - Yi-Cheng Chen, Wen-Chih Peng, Wang-Chien Lee:
A Novel System for Extracting Useful Correlation in Smart Home Environment. 357-364 - Vinay Deolalikar:
Characterization of Corpora from Enterprise Technology Creation for Retrieval and Mining. 365-369 - Jose Evora, Jose Juan Hernandez, Mario Hernández:
Model Driven Engineering for Data Miners Simulation. 370-376 - Xin Geng, Rongzi Ji:
Label Distribution Learning. 377-383 - Michael Kamp, Mario Boley, Thomas Gärtner:
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. 384-390 - Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders:
Predicting Current User Intent with Contextual Markov Models. 391-398 - Yintao Liu, Anqi Wu, Dong Guo, Ke-Thia Yao, Cauligi S. Raghavendra:
Weighted Task Regularization for Multitask Learning. 399-406 - Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee:
Detection of Precursors to Aviation Safety Incidents Due to Human Factors. 407-412 - Andreia Silva, Cláudia Antunes:
Towards the Integration of Constrained Mining with Star Schemas. 413-420 - Junhuan Zhu, Jiebo Luo, Quanzeng You, John R. Smith:
Towards Understanding the Effectiveness of Election Related Images in Social Media. 421-425 - Anastasia A. Bezzubtseva, Dmitry I. Ignatov:
The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe. 426-432 - Edward M. L. Peters, Guido Dedene, Jonas Poelmans:
Empirical Discovery of Potential Value Leaks in Processes by Means of Formal Concept Analysis. 433-439 - Alexander Porshnev, Ilya Redkin, Alexey Shevchenko:
Machine Learning in Prediction of Stock Market Indicators Based on Historical Data and Data from Twitter Sentiment Analysis. 440-444 - Rustam Tagiew, Dmitry I. Ignatov, Fadi Amroush:
Social Learning in Networks: Extraction of Deterministic Rules. 445-451 - Emma Tonkin, Heather D. Pfeiffer:
Zombies Walk Among Us: Cross-Platform Data Mining for Event Monitoring. 452-459 - Arthur Flexer, Dominik Schnitzer:
Can Shared Nearest Neighbors Reduce Hubness in High-Dimensional Spaces? 460-467 - Michael E. Houle:
Dimensionality, Discriminability, Density and Distance Distributions. 468-473 - Peng Jiang, Michael T. Heath:
Pattern Discovery in High Dimensional Binary Data. 474-481 - Ata Kabán:
A New Look at Compressed Ordinary Least Squares. 482-488 - Jiangbo Yuan, Xiuwen Liu:
Transform Residual K-Means Trees for Scalable Clustering. 489-496 - Bonny Banerjee, Jayanta K. Dutta:
A Predictive Coding Framework for Learning to Predict Changes in Streaming Data. 497-504 - Bonny Banerjee, Jayanta K. Dutta:
An Online Clustering Algorithm That Ignores Outliers: Application to Hierarchical Feature Learning from Sensory Data. 505-512 - Guénaël Cabanes, Younès Bennani, Nistor Grozavu:
Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud. 513-520 - William Eberle, Lawrence B. Holder:
Incremental Anomaly Detection in Graphs. 521-528 - Annika H. Holmbom, Samuel Rönnqvist, Peter Sarlin, Tomas Eklund, Barbro Back:
Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness. 529-535 - Shin-Ying Huang, Yennun Huang:
Network Forensic Analysis Using Growing Hierarchical SOM. 536-543 - Minh Tam Le, Matthew Lawlor, Bruce M. Russett, John Sweeney, Steven W. Zucker:
Analysis of UN Voting Patterns via Diffusion Geometry and Thematic Clustering. 544-551 - Fernando Mendes, Maribel Yasmina Santos, João Moura-Pires:
Dynamic Analytics for Spatial Data with an Incremental Clustering Approach. 552-559 - Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel:
Auto-Tuning Kernel Mean Matching. 560-567 - Aldrin Montana, Alex Dekhtyar, Michael Black, Chris Kitts, Anya Goodman:
Ontological Hierarchical Clustering for Library-Based Microbial Source Tracking. 568-576 - Talieh Seyed Tabatabaei, Fakhri Karray, Mohamed S. Kamel:
Adaptive Budget for Online Learning. 577-583 - Sean West, Kathryn Dempsey, Sanjukta Bhowmick, Hesham H. Ali:
Analysis of Incrementally Generated Clusters in Biological Networks Using Graph-Theoretic Filters and Ontology Enrichment. 584-591 - Zahra Farzanyar, Nick Cercone:
Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach. 592-598 - Jérôme Fellus, David Picard, Philippe Henri Gosselin:
Decentralized K-Means Using Randomized Gossip Protocols for Clustering Large Datasets. 599-606 - Klavdiya Hammond, Aparna S. Varde:
Cloud Based Predictive Analytics: Text Classification, Recommender Systems and Decision Support. 607-612 - Michael J. Pawlish, Aparna S. Varde, Stefan A. Robila:
Decision Support in Data Centers for Sustainability. 613-620 - Paolo Boldi, Sebastiano Vigna:
In-Core Computation of Geometric Centralities with HyperBall: A Hundred Billion Nodes and Beyond. 621-628 - Ali Jalali, Santanu Kolay, Peter Foldes, Ali Dasdan:
Scalable Audience Reach Estimation in Real-Time Online Advertising. 629-637 - Dong Li, Xianmang He, Huahui Chen, Yihong Dong, Yefang Chen:
A Study on Privacy Preservation for Multi-user and Multi-granularity. 638-645 - Gavin Smith, James Goulding, Duncan Barrack:
Towards Optimal Symbolization for Time Series Comparisons. 646-653 - Guangchao Yao, Yao Zheng, Limin Xiao, Li Ruan, Yongnan Li, Zhenzhong Zhang:
GPU-Accelerated Query by Humming Using Modified SPRING Algorithm. 654-663 - Akinori Abe:
Curating and Mining (Big) Data. 664-671 - DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer:
Quantifying and Recommending Expertise When New Skills Emerge. 672-679 - Yusuke Iwasawa, Ikuko Eguchi Yairi:
Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads. 680-687 - Noriyuki Kushiro:
A Method for Generating Ontologies in Requirements Domain for Searching Data Sets in Marketplace. 688-693 - Chang Liu, Yukio Ohsawa, Yoshitaka Suda:
Valuation of Data through Use-Scenarios in Innovators' Marketplace on Data Jackets. 694-701 - Hiroshi Maruyama, Daisuke Okanohara, Shohei Hido:
Data Marketplace for Efficient Data Placement. 702-705 - Rina Nakagochi, Kayo Kawamoto, Wataru Sunayama:
Acquissition of Text-Mining Skills for Beginners Using TETDM. 706-713 - Takanobu Nakahara, Yukinobu Hamuro:
Detecting Topics from Twitter Posts During TV Program Viewing. 714-719 - Jun Nakamura, Masahiko Teramoto:
Frame as a Clue to Intention of Data: Toward New Product Ideas with Framed Components. 720-725 - Masahiko Teramoto, Jun Nakamura:
e-Trucks Realize Four Zeros Expectations, The Challenge by Market of Data. 726-732 - Hiroe Tsubaki:
Valuation of Partly Disclosed Datasets for Prediction. 733-734 - Chen Zhang, Hao Wang, Fanjiang Xu, Xiaohui Hu:
IdeaGraph Plus: A Topic-Based Algorithm for Perceiving Unnoticed Events. 735-741 - Alnur Ali, Kevyn Collins-Thompson:
Robust Cost-Sensitive Confidence-Weighted Classification. 742-749 - Jeremias Berg, Matti Järvisalo:
Optimal Correlation Clustering via MaxSAT. 750-757 - Chen-Ling Chen, Chia-Hui Chang:
Evaluation of Session-Based Recommendation Systems for Social Networks. 758-765 - Nai-Hung Cheng, Chia-Hui Chang:
Evaluation of Social, Geography, Location Effects for Point-of-Interest Recommendation. 766-772 - Zejun Gan, Chaofeng Sha, Junyu Niu:
Fast Spectral Clustering with Landmark-Based Subspace Iteration. 773-779 - Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo:
Item-Based Top-k Influential User Discovery in Social Networks. 780-787 - Jiguang Liang, Xiaofei Zhou, Ying Sha, Ping Liu, Li Guo, Shuo Bai:
Unsupervised Clustering Strategy Based on Label Propagation. 788-794 - Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi:
How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. 795-799 - Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh:
Infinite Mixed Membership Matrix Factorization. 800-807 - Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin:
Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. 808-816 - Guibiao Xu, Bao-Gang Hu:
Cost-Free Learning for Support Vector Machines with a Reject Option. 817-824 - Christos Zigkolis, Savvas Karagiannidis, Athena Vakali:
Dissimilarity Features in Recommender Systems. 825-832 - Liyue Fan, Li Xiong:
Differentially Private Anomaly Detection with a Case Study on Epidemic Outbreak Detection. 833-840 - Geetha Jagannathan, Claire Monteleoni, Krishnan Pillaipakkamnatt:
A Semi-Supervised Learning Approach to Differential Privacy. 841-848 - Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
The Independence of Fairness-Aware Classifiers. 849-858 - Murat Kantarcioglu:
Incentive-Compatible Privacy-Preserving Distributed Data Mining. 859 - Keng-Pei Lin:
Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels. 860-866 - Giorgos Poulis, Spiros Skiadopoulos, Grigorios Loukides, Aris Gkoulalas-Divanis:
Select-Organize-Anonymize: A Framework for Trajectory Data Anonymization. 867-874 - Salvatore Ruggieri:
Data Anonymity Meets Non-discrimination. 875-882 - Chong-Jing Sun, Philip S. Yu, Xiangnan Kong, Yan Fu:
Privacy Preserving Social Network Publication against Mutual Friend Attacks. 883-890 - Li Xiong:
Adaptive Differentially Private Data Release for Data Sharing and Data Mining. 891 - Basant Agarwal, Namita Mittal, Erik Cambria:
Enhancing Sentiment Classification Performance Using Bi-Tagged Phrases. 892-895 - Hanen Ameur, Salma Jamoussi:
Dynamic Construction of Dictionaries for Sentiment Classification. 896-903 - Mohsen Farhadloo, Erik Rolland:
Multi-Class Sentiment Analysis with Clustering and Score Representation. 904-912 - Simone Filice, Giuseppe Castellucci, Danilo Croce, Roberto Basili:
Robust Language Learning via Efficient Budgeted Online Algorithms. 913-920 - Yang Gao, Yue Xu, Yuefeng Li:
Pattern-Based Topic Models for Information Filtering. 921-928 - Chung-Chi Huang, Lun-Wei Ku:
Interest Analysis Using Semantic PageRank and Social Interaction Content. 929-936 - Roman Klinger, Philipp Cimiano:
Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations. 937-944 - Pekka Malo, Ankur Sinha, Pyry Takala, Oskar Ahlgren, Iivari Lappalainen:
Learning the Roles of Directional Expressions and Domain Concepts in Financial News Analysis. 945-954 - Atika Qazi, Ram Gopal Raj, Muhammad Tahir, Syed Ghaour Abbas Naqvi:
A Framework of Review Analysis for Enhancement of Business Decision Making. 955-958 - Prashant Raina:
Sentiment Analysis in News Articles Using Sentic Computing. 959-962 - Dominika Rogozinska, Aleksander Wawer:
Interpreting or Describing? Measuring Verb Abstraction. 963-966 - Rafal Rzepka, Kenji Araki:
Possible Usage of Sentiment Analysis for Calculating Vectors of Felific Calculus. 967-970 - Junhua Wang, Xianglin Zuo, Wanli Zuo, Tao Peng:
Subjective Bayes Method for Word Semantic Similarity Measurement. 971-977 - Alan Both, Matt Duckham:
Qualitative Spatial Structure in Complex Areal Objects Using Location-Free, Mobile Geosensor Networks. 978-985 - Madhuri Debnath, Praveen Kumar Tripathi, Ramez Elmasri:
A Novel Approach to Trajectory Analysis Using String Matching and Clustering. 986-993 - David John Gagne II, Amy McGovern, Jerald Brotzge, Ming Xue:
Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework. 994-1001 - Andre Gensler, Thiemo Gruber, Bernhard Sick:
Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations. 1002-1011 - Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi:
DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks. 1012-1019 - Michael P. McGuire, Ziying Tang:
Mining Semantic Time Period Similarity in Spatio-Temporal Climate Data. 1020-1027 - Megan Monroe, Amol Deshpande:
An Integer Programming Approach to Temporal Pattern Matching Queries. 1028-1035 - Tommy Nguyen, Mingming Chen, Boleslaw K. Szymanski:
Analyzing the Proximity and Interactions of Friends in Communities in Gowalla. 1036-1044 - Ricardo Oliveira, Maribel Yasmina Santos, João Moura-Pires:
4D+SNN: A Spatio-Temporal Density-Based Clustering Approach with 4D Similarity. 1045-1052 - Karthik Ganesan Pillai, Ranga Raju Vatsavai:
Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures. 1053-1060 - Sujing Wang, Tianxing Cai, Christoph F. Eick:
New Spatiotemporal Clustering Algorithms and their Applications to Ozone Pollution. 1061-1068 - Chunjie Zhou, Pengfei Dai, Renpu Li:
The Passenger Demand Prediction Model on Bus Networks. 1069-1076 - Michele Berlingerio, Francesco Calabrese, Giusy Di Lorenzo, Xiaowen Dong, Yiannis Gkoufas, Dimitrios Mavroeidis:
SaferCity: A System for Detecting and Analyzing Incidents from Social Media. 1077-1080 - Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt:
The MiningZinc Framework for Constraint-Based Itemset Mining. 1081-1084 - Brendan Kitts, Dyng Au, Brian Burdick, Jon Borchardt, Amanda Powter, Todd Otis:
Demand Finder: Set Top Box Television Ad Targeting Using a Novel Interactive Data Visualization System. 1085-1088 - Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl:
An Evaluation Framework for Temporal Subspace Clustering Approaches. 1089-1092 - Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. 1093-1096 - Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau:
Demonstrating Interactive Multi-resolution Large Graph Exploration. 1097-1100 - Lujia Pan, Jianfeng Qian, Caifeng He, Wei Fan, Cheng He, Fan Yang:
NIM: Scalable Distributed Stream Process System on Mobile Network Data. 1101-1104 - Amineh Amini, Hadi Saboohi, Ying Wah Teh:
A Multi Density-Based Clustering Algorithm for Data Stream with Noise. 1105-1112 - Ahsanul Haque, Latifur Khan:
MapReduce Based Frameworks for Classifying Evolving Data Stream. 1113-1120 - Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin:
Time-Sensitive Route Planning Using Location-Based Data. 1121-1128 - Peng Jiang, Michael T. Heath:
Mining Discrete Patterns via Binary Matrix Factorization. 1129-1136 - Henry Z. Lo, Wei Ding, Zohreh Nazeri:
Mining Adverse Drug Reactions from Electronic Health Records. 1137-1140 - Mihail Minev:
Quantification of Financial News for Economic Surveys. 1141-1144 - Yang Mu, Wei Ding:
Local Discriminative Distance Metrics and their Real World Applications. 1145-1152 - Ahmad Mustafa, Mohiuddin Solaimani, Latifur Khan, Ken Chiang, Joey Burton Ingram:
Host-Based Anomaly Detection Using Learning Techniques. 1153-1160 - Brandon Parker, Latifur Khan:
Rapidly Labeling and Tracking Dynamically Evolving Concepts in Data Streams. 1161-1164
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