大数据：我们研究什么

1. 大数据：我们研究什么 中 南 大 学 信息科学与工程学院

3. 大数据相关的CFP 1. Big Data Science and Foundationsa. Novel Theoretical Models for Big Datab. New Computational Models for Big Data c. Data and Information Quality for Big Datad. New Data Standards2. Big Data Infrastructurea. Cloud/Grid/Stream Computing for Big Datab. High Performance/Parallel Computing Platforms for Big Datac. Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deploymentd. Energy-efficient Computing for Big Datae. Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data f. Software Techniques and Architectures in Cloud/Grid/Stream Computingg. Big Data Open Platformsh. New Programming Models for Big Data beyond Hadoop/MapReduce, STORMi. Software Systems to Support Big Data Computing

4. 大数据相关的CFP 3. Big Data Management a. Advanced database and Web Applications b. Novel Data Model and Databases for Emerging Hardware c. Data Preservationd. Data Provenance‎e. Interfaces to Database Systems and Analytics Software Systemsf. Data Protection, Integrity and Privacy Standards and Policiesg. Information Integration and Heterogeneous and Multi-structured Data Integrationh. Data management for Mobile and Pervasive Computingi. Data Management in the Social Web j. Crowdsourcingk. Spatiotemporal and Stream Data Managementl. Scientific Data Management m. Workflow Optimizationn. Database Management Challenges: Architecture, Storage, User Interfaces

5. 大数据相关的CFP 4. Big Data Search and Mininga. Social Web Search and Miningb. Web Searchc. Algorithms and Systems for Big Data Searchd. Distributed, and Peer-to-peer Searche. Big Data Search Architectures, Scalability and Efficiencyf. Data Acquisition, Integration, Cleaning, and Best Practicesg. Visualization Analytics for Big Data h. Computational Modeling and Data Integration i. Large-scale Recommendation Systems and Social Media Systemsj. Cloud/Grid/Stream Data Mining- Big Velocity Datak. Link and Graph Miningl. Semantic-based Data Mining and Data Pre-processing m. Mobility and Big Datan. Multimedia and Multi-structured Data- Big Variety Data

6. 大数据相关的CFP 5. Big Data Security & Privacya. Intrusion Detection for Gigabit Networks b. Anomaly and APT Detection in Very Large Scale Systemsc. High Performance Cryptography d. Visualizing Large Scale Security Datae. Threat Detection using Big Data Analyticsf. Privacy Threats of Big Datag. Privacy Preserving Big Data Collection/Analyticsh. HCI Challenges for Big Data Security & Privacyi. User Studies for any of the abovej. Sociological Aspects of Big Data Privacy

7. 大数据相关的CFP 6. Big Data Applicationsa. Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunicationb. Big Data Analytics in Small Business Enterprises (SMEs), c. Big Data Analytics in Government, Public Sector and Society in General d. Real-life Case Studies of Value Creation through Big Data Analyticse. Big Data as a Servicef. Big Data Industry Standardsg. Experiences with Big Data Project Deployments

8. Accepted Papers

9. 大数据相关的CFP 1. Big Data Science and FoundationsRegular Papers: BigD244 "On-Line Learning Gossip Algorithm in Multi-Agent Systems with Local Decision Rules" Stephan Clemencon, Pascal Bianchi, Gemma Morral, and Jeremie Jakubowicz BigD342 "Labeled N-gram Topic Model" Noriaki Kawamae BigD358 "Communication Efficient Algorithms for Fundamental Big Data Problems" Peter Sanders, Ingo Müller, and Sebastian Schlag BigD399 "Map-Based Graph Analysis on MapReduce" Upa Gupta and Leonidas Fegaras Short Papers: BigD216 "P-DOT: A Model of Computation for Big Data" Tao Luo, Yin Liao, Yunquan Zhang, and Guoliang Chen BigD229 "Transparent Composite Model For Large Scale Image/Video Processing" Enhui Yang and Xiang Yu BigD319 "Elastic Algorithms for Guaranteeing Quality Monotonicity in Big Data Mining" Rui Han, Lei Nie, Moustafa M. Ghanem, and Yike Guo

10. 大数据相关的CFP 2. Big Data InfrastructureRegular Papers:BigD279 "HFSP: Size-based Scheduling for Hadoop" Mario Pastorelli, Antonio Barbuzzi, Damiano Carra, Matteo Dell'Amico, and Pietro Michiardi BigD314 "An Evaluation Study of BigData Frameworks for Graph Processing" Benedikt Elser and Alberto MontresorBigD331 "Storing and manipulating environmental big data with JASMIN" Bryan Lawrence, Victoria Bennett, Jonathan Churchill, Martin Juckes BigD345 "Efficient Gear-shifting for a Power-proportional Distributed Data-placement Method" Hieu Hanh Le, Satoshi Hikida, and Haruo YokotaBigD354 "Agrios: A Hybrid Approach to Big Array Analytics" Patrick Leyshock, David Maier, and Kristin TufteBigD413 "Building a Generic Platform for Big Sensor Data Application" Chun-Hsiang Lee, David Birch, Chao Wu, Dilshan Silva, Orestis Tsinalis, Yang Li, Shulin Yan, Moustafa Ghanem, and Yike GuoBigD455 "Locality-driven High-level I/O Aggregation for Processing Scientific Datasets" Jialin Liu, Bradly Crysler, and Yong Chen

11. 大数据相关的CFP 2. Big Data InfrastructureShort Papers（1）: BigD215 "clusiVAT: A Mixed Visual/Numerical Clustering Algorithm for Big Data" Dheeraj Kumar, James Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, and Timothy Havens BigD225 "Hardware acceleration of Hadoop MapReduce" Toshimori Honjo and Kazuki Oikawa BigD285 "Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor" Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, and Richard Huynh BigD287 "On the Performance and Energy Efficiency of Hadoop Deployment Models" Eugen Feller, Lavanya Ramakrishnan, and Christine Morin BigD289 "Optimizing Throughput on Guaranteed-Bandwidth WAN Networks for the Large Synoptic Survey Telescope (LSST)" Mike Freemon

12. 大数据相关的CFP 2. Big Data InfrastructureShort Papers: BigD298 "Feliss: Flexible distributed computing framework with light-weight checkpointing" Takuya Araki, Kazuyo Narita, and Hiroshi Tamano BigD339 "Algebraic Dataflows for Big Data Analysis" Jonas Dias, Eduardo Ogasawara, Daniel de Oliveira, Fabio Porto, Patrick Valduriez, and Marta Mattoso BigD355 "Scalable and Robust Key Group Size Estimation For Reducer Load Balancing in MapReduce" Wei Yan, Yuan Xue, and Bradley Malin BigD359 "Robot: An Efficient Model For Big Data Storage Systems Based On Erasure Coding" Chao Yin, Jianzong Wang, Changsheng Xie, Jiguang Wan, and Changlin Long BigD360 "Multilevel Active Storage for Big Data Applications in High Performance Computing" Chao Chen and Yong Chen BigD363 "GPU Accelerated Item-Based Collaborative Filtering for Big-Data Applications" Chandima HewaNadungodage, Yuni Xia, John Lee, Myungcheol Lee, and Choon Seo Park BigD390 "GPU-Accelerated Adaptive Compression Framework for Genomics Data"

13. 大数据相关的CFP 3. Big Data Management Regular Papers（1）:BigD217 "Iteration Aware Prefetching For Unstructured Grids"Oyindamola Akande and Philip RhodesBigD245 "Measuring Inter-Site Engagement"Elad Yom-Tov, Mounia Lalmas, Ricardo Baeza-Yates, Georges Dupret, Janette Lehmann, and Pinar DonmezBigD249 "A Selective Checkpointing Mechanism for Query Plans in a Parallel Database System"Ting Chen and Kenjiro TauraBigD253 "CORE: Cross-Object Redundancy for Efficient Data Repair in Storage Systems"Kyumars Sheykh Esmaili, Lluis PamiesJuarez, and Anwitaman DattaBigD270 "H2RDF+: High-performance Distributed Joins over Large-scale RDF Graphs"Nikolaos Papailiou, Ioannis Konstantinou, Dimitrios Tsoumakos, Panagiotis Karras, and Nectarios Koziris

14. 大数据相关的CFP 3. Big Data Management Regular Papers(2):BigD312 "Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures"Austin Benson, David Gleich, and James DemmelBigD338 "Adaptive File Management for Scientific Workflows on the Azure Cloud"Radu Tudoran, Alexandru Costan, Ramin Rad Rezai, Goetz Brasche, and Gabriel AntoniuBigD407 "Model-View Sensor Data Management in the Cloud"Tian Guo, Thanasis G. Papaioannou, and Karl AbererBigD423 "Spatio-temporal Indexing in Non-relational Distributed Databases"Anthony Fox, Chris Eichelberger, James Hughes, and Skylar Lyon

15. 大数据相关的CFP 3. Big Data Management Short Papers(1):BigD243 "Scientific Discovery through Weighted Sampling"Lefteris Sidirourgos, Martin Kersten, and Peter BonczBigD278 "Scalable Data Citation in Dynamic, Large Databases: Model and Reference Implementation"Stefan Pröll and Andreas RauberBigD294 "On the Use of Shared Storage in Shared-Nothing Environments"Krishnaraj Ravindranathan, Aleksander Khasymski, Guanying Wang, Ali Butt, and Gaurav MakkarBigD344 "Self-Adaptive Event Recognition for Intelligent Transport Management"Alexander Artikis, Matthias Weidlich, Avigdor Gal, Vana Kalogeraki, and Dimitrios GunopoulosBigD365 "Improving Floating Point Compression through Binary Masks"Leonardo Bautista Gomez and Franck Cappello

16. 大数据相关的CFP 3. Big Data Management Short Papers(2):BigD373 "Using Pattern-Models to Guide SSD Deployment for Big Data in HPC systems"Junjie Chen, Yong Chen, and Philip C. RothBigD375 "Robust Crowdsourced Learning"Zhiquan Liu, Luo Luo, and Wu-Jun LiBigD384 "imGraph: A distributed in-memory graph database"Salim Jouili and Aldemar ReynagaBigD445 "Segmented Analysis for Reducing Data Movement"Jialin Liu, Surendra Byna, and Yong ChenBigD447 "Knowledge Cubes - A Proposal for Scalable and Semantically-Guided Management of Big Data"Amgad Madkour, Walid Aref, and Saleh Basalamah

17. 大数据相关的CFP 4. Big Data Search and MiningRegular Papers(1):BigD211 "Continuous Hyperparameter Optimization for Large-scale Recommender Systems"Simon Chan, Philip Treleaven, and Licia CapraBigD220 "4S: Scalable Subspace Search Scheme"Hoang Vu Nguyen, Emmanuel Müller, and Klemens Böhm BigD282 "NUMA-optimized Parallel Breadth-first Search on Multicore Single-node System"Yuichiro Yasui, Katsuki Fujisawa, and Kazushige Goto BigD254 "Computing Betweenness Centrality in External Memory"Lars Arge, Michael Goodrich, and Freek van WalderveenBigD260 "A Parallel Computing Platform for Training Large Scale Neural Networks"Rong Gu, Furao Shen, and Yihua HuangBigD267 "Self-Tuned Kernel Spectral Clustering for Large Scale Networks"Raghvendra Mall, Rocco Langone, and Johan Suykens

18. 大数据相关的CFP 4. Big Data Search and MiningRegular Papers(2):BigD315 "A Distributed Vertex-Centric Approach for Pattern Matching in Massive Graphs"Arash Fard, M. Usman Nisar, Lakshmish Ramaswamy, John A. Miller, and Matthew SaltzBigD318 "Fast Scalable Selection Algorithms for Large Scale Data"Lee Thompson, Weijia Xu, and Daniel MirankerBigD330 "An NML-based Model Selection Criterion for General Relational Data Modeling"Yoshiki Sakai and Kenji YamanishiBigD334 "Parallel Matrix Factorization for Binary Response"Rajiv Khanna, Liang Zhang, Deepak Agarwal, and Bee-Chung ChenBigD400 "CallCab: A Unified Recommendation System for Carpooling and Regular Taxicab Services"Desheng Zhang and Tian HeBigD403 "Top-K aggregation over a Large Graph Using Shared-Nothing Systems"Abhirup ChakrabortyBigD410 "Distributed Confidence-Weighted ClassificationonMapReduce"Nemanja Djuric, Mihajlo Grbovic, and Slobodan VuceticBigD411 "Scalable Context-Aware Role Mining with MapReduce"Zhiwei Yu, Raymond Wong, and Chi-Hung Chi

19. 大数据相关的CFP 4. Big Data Search and MiningShort Papers（1）BigD212 "Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features"Yusheng Xie, Alok Choudhary, Zhengzhang Chen, and Ankit AgrawalBigD233 "Massively Scalable Near Duplicate Detection in Streams of Documents using MDSH"Paul Bogen, Christopher Symons, Amber McKenzie, Robert Patton, and Rob GillenBigD241 "Incremental Algorithms for Network Management and Analysis based on Closeness Centrality"Ahmet Erdem Sariyuce, Kamer Kaya, Erik Saule, and Umit V. CatalyurekBigD247 "Classification of Big Velocity Data via Cross-Domain Canonical Correlation Analysis"Bo Zhang and Zhongzhi ShiBigD248 "A Distributed Tree Data Structure For Real-Time OLAP On Cloud Architectures"Frank Dehne, Quan Kong, Andrew Rau-Chaplin, Hamidreza Zaboli, and Rebecca ZhouBigD284 "DL-MPI: Enabling Data Locality Computation for MPI-based Data-Intensive Applications"Jiangling Yin, Andrew Foran, and Jun Wang

20. 大数据相关的CFP 4. Big Data Search and MiningShort Papers（2）:BigD297 "Sparse Poisson Coding for High Dimensional Document Clustering"Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, and Michael R. LyuBigD308 "Fast OLAP Query Execution in Main Memory on Large Data in a Cluster"Martin Weidner, Jonathan Dees, and Peter SandersBigD323 "Group-Scheme: A Universal SIMD-based Compression Scheme"Xudong Zhang, Xin Zhao, Dongdong Shan, and Hongfei YanBigD335 "Efficient Large Graph Pattern Mining for Big Data in the Cloud"Chun-Chieh Chen, Kuan-Wei Lee, Chih-Chieh Chang, De-Nian Yang, and Ming-Syan ChenBigD350 "A Streaming Partitioning Approach to Processing Large Scale Distributed Graph Datasets"Rui Wang and Kenneth Chiu

21. 大数据相关的CFP 4. Big Data Search and MiningShort Papers（3）:BigD361 "Scalable Distributed Event Detection for Twitter"Richard McCreadie, Craig Macdonald, Iadh Ounis, Miles Osborne, and Sasa PetrovicBigD366 "Analysis of GSM calls data for understanding user mobility behavior"Chiara Renso, Barbara Furletti, Lorenzo Gabrielli, and Salvatore RinzivilloBigD402 "Personalizing Search: A Case for Scaling Concurrency in Multi-Tenant Semantic Web Search Systems over Large RDF Datasets"HAIZHOU FU, Hyeongsik Kim, and Kemafor AnyanwuBigD417 "A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization"Hui Miao, Xiangyang Liu, Bert Huang, and Lise GetoorBigD448 "A Higher-Order Data Flow Model for Heterogeneous Big Data"Simon Price and Peter FlachBigD465 "Parallel Subgroup Discovery on Computing Clusters -- First Results"

22. 大数据相关的CFP 5. Big Data Security & PrivacyRegular Papers:BigD269 "DP-WHERE: Differentially Private Modeling of Human Mobility"Darakhshan Mir, Sibren Isaacman, Ramón Cáceres, Margaret Martonosi, and Rebecca WrightBigD305 "Malicious URLs Filtering - A Big Data Application"Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, and Hsing-Kuo PaoBigD328 "Zero-Knowledge Private Graph Summarization"Maryam Shoaran, Alex Thomo, and Jens Weber

23. 大数据相关的CFP 5. Big Data Security & PrivacyShort Papers:BigD230 "Scalable Network Traffic Visualization Using Compressed Graphs"Lei Shi, Qi Liao, and Xiaohua SunBigD391 "Breaking the Arc: RIsk Control for Big Data"Duncan Hodges and Sadie Creese

24. 大数据相关的CFP 6. Big Data ApplicationsRegular Papers(1):BigD288 "The BTWorld Use Case for Big Data Analytics: Description, MapReduce Logical Workflow, and Empirical Evaluation"Tim Hegeman, Bogdan Ghi?, Mihai Capota, Jan Hidders, Dick Epema, and Alexandru IosupBigD311 "Modeling Heterogeneous Time Series Dynamics to Profile Big Sensor Data in Complex Physical Systems"Bin Liu, Haifeng Chen, Abhishek Sharma, Guofei Jiang, and Hui XiongBigD332 "Efficiently Extracting Frequent Subgraphs using MapReduce"Wei Lu, Gang Chen, Anthony Tung, and Feng ZhaoBigD341 "Explaining the Product Range Effect in Purchase Data"Diego Pennacchioli, Michele Coscia, Salvatore Rinzivillo, Dino Pedreschi, and Fosca Giannotti

25. 大数据相关的CFP 6. Big Data ApplicationsRegular Papers(2):BigD353 "Large-scale Predictive Analytics for Real Time Energy Management"Natasha Balac, Tamara Sipes, Nicole Wolter, Kenneth Nunes, Robert Sinkovits, and Homa KarimabadiBigD372 "Parallel Deterministic Annealing Clustering and its Application to LC-MS Data Analysis"Geoffrey Fox, D. R. Mani, and Saumyadipta PyneBigD378 "Terabyte-scale image similarity search: experience and best practice"Diana Moise, Denis Shestakov, Gylfi Gudmundsson, and Laurent AmsalegBigD437 "Demand Response Targeting Using Big Data Analytics"Jungsuk Kwac and Ram Rajagopal

26. 大数据相关的CFP 6. Big Data ApplicationsShort Papers(3):BigD238 "Predicting flight arrival times with a multistage model"Gabor TakacsBigD252 "HIG – An In-memory Database Platform Enabling Real-time Analyses of Genome Data"Matthieu-P. Schapranow and Hasso PlattnerBigD266 "Real-time streaming mobility analytics"Andras Garzo, Csaba Sidlo, Daniel Tahara, Erik Wyatt, and Andras BencurBigD320 "QuPARA: Query-Driven Large-Scale Portfolio Aggregate Risk Analysis on MapReduce"Andrew Rau-Chaplin, Blesson Varghese, Duane Wilson, Zhimin Yao, and Norbert Zeh

27. 大数据相关的CFP 6. Big Data ApplicationsShort Papers(4):BigD405 "Constructing User Profiles from Social Media Data"Mauricio Hernandez, Kirsten Hildrum, Prateek Jain, Chitra Venkatramani, Rohit Wagle, Bogdan Alexe, and Ioana Roxana StanoiBigD431 "CloudRS: An Error Correction Algorithm of High-Throughput Sequencing Data based on Scalable Framework"Chien-Chih Chen, Yu-Jung Chang, Wei-Chun Chung, Der-Tsai Lee, and Jan-Ming HoBigD444 "Building dynamic thermal profiles of energy consumption for individuals and neighborhoods"Adrian Albert and Ram Rajagopal

28. IEEE International Congress on Big DataJune 27-July 2, 2013, Santa Clara Marriott, CA, USA

29. IEEE International Congress on Big DataJune 27-July 2, 2013, Santa Clara Marriott, CA, USA • Big Data Scalability • Privacy Issues • Big Data Mining • Big Data Cloud • Pervasive Big Data • Rule Mining • Social Media Data Analysis • Big Data Querying • Big Graph Data • MapReduce • BigData Infrastructure

30. 三大学报 • 《计算机学报》 • 网络大数据：现状与展望 -- 王元卓，靳小龙，程学旗 • 于  戈 教授：《云计算环境下的大规模图数据处理技术》 • 王  珊 教授：《架构大数据:挑战、现状与展望》

31. 三大学报 • 《计算机研究与发展》 • 大数据管理：概念、技术与挑战 （孟小峰，慈祥）2013,50（1）：146-169 • 大数据的一个重要方面：数据可用性 （李建中，刘显敏）2013,50（2）：1147-1162

32. 三大学报 • 《软件学报》 • 专刊题目：大数据理论、方法和技术特约编辑：孟小峰，高宏截稿时间：2013年10月15日update征文通知：http://www.jos.org.cn/ch/reader/view_news.aspx?id=20130628010802001出版期数：2014年第4期