IEEE DataCom 2017
The 3rd IEEE International Conference on Big Data Intelligence and Computing
Orlando, Florida, USA, November 6-10, 2017
Sponsors
Co-Organizer
DataCom Regular Papers
  • 1. DeepCancer: Detecting Cancer via Deep Generative Learning through Gene Expressions, Rajendra Bhat, Vivek Viswanath and Xiaolin Li
  • 2. Imbalanced Data Classification via Ensemble Oversampling in E-commerce, Liliya Besaleva
  • 3. Using Deep Learning to Predict and Optimize Hadoop Data Analytic Service in a Cloud Platform, Chen-Chun Chen, Yu-Tung Hasio, Jerry Chou and Chan-Yi Lin
  • 4. Understanding Travel Behavior of Private Cars via Trajectory Big Data Analysis in Urban Environments, Dong Wang, Qian Liu, Zhu Xiao, Jie Chen, Yourong Huang and Weiwei Chen
  • 5. Team Recognition in Big Scholarly Data: Exploring Collaboration Intensity, Shuo Yu, Feng Xia, Kaiyuan Zhang, Zhaolong Ning, Jiaofei Zhong and Chengfei Liu
  • 6. A Novel Image Fusion Quality Metric Designed For Big Image Fusion Data, Yao Yan, Meihong Zheng, Jianhua Li, Qi Dong and Bin Huang
  • 7. Perldoop2: A Big Data-oriented Source-to-source Perl-Java compiler, Cesar Pineiro, Jose M. Abuin and Juan C. Pichel
  • 8. Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data, Jonathan Wang, Kesheng Wu, Alex Sim and Seongwook Hwangbo
  • 9. General Time-Dependent Sequenced Route Queries in Road Networks, Mohammad Hossein Ahmadi
  • 10. Analysis and Modeling of Resource Management Overhead in Hadoop YARN Clusters, Janardhanan P S and Philip Samuel
  • 11. Availability Modeling and Assurance of Map-Reduce Computing, Zuqiang Ke and Nohpill Park
  • 12. A Data-driven Resource Allocation Method for Personalized Container Based Desktop as a Service, Hyeon-Ji Baek and Eui-Nam Huh
  • 13. Repair Duality with Locally Repairable and Locally Regenerating Codes, Danilo Gligoroski, Katina Kralevska, Rune E. Jensen and Per Simonsen
  • 14. Efficient Parallel K-Means on MapReduce Using Triangle Inequality, Sami Al. Ghamdi and Giuseppe Di Fatta
  • 15. Facilitating Reproducible Computing via Scientific Workflows for Modelling and Data Integration, Yuan Cao and Yao Liang
  • 16. A High-dimensional Outlier Detection Algorithm Base on Relevant Subspace, Zhipeng Gao, Yang Zhao, Kun Niu and Yidan Fan
  • 17. Discriminatively Local Hashing for Preserving Semantic Manifold, Xiaopeng Zhang, Hui Zhang, Rui Liu, Yong Chen and Zhiwen Ye
  • 18. Integrated Discovery of Location Prediction Rules in Mobile Environment, Elahe Elahe Naserian, Xinheng Wang, Xiaolong Xu, Yuning Dong, Nektarios Georgalas and Kaizhu Huang
  • 19. Inferring Workflows with Job Dependencies from Distributed Processing Systems Logs, Cristina Abad and Gladys Carrillo
  • 20. Forecasting Stock Prices Using Social Media Analysis, Scott Coyne, Praveen Madiraju and Joseph Coelho
  • 21. Automatically Finding Matches Between Social Media Posts and News Articles, Filipe Miranda and Alvaro Figueira
  • 22. Real-Time Event Search Corresponding to Place and Time Using Social Stream, Ruriko Kudo, Miki Enoki, Akihiro Nakao, Shu Yamamoto, Saneyasu Yamaguchi and Masato Oguchi
  • 23. Contextual Polarity and Influence Mining in Online Social Networks, Hassan Alzahrani, Philippe Duverger and Nam Nguyen
  • 24. Analysis of Projected 2024 Employment Based on Current Computer Science Graduates in U.S, Dejang Liu
  • 25. On the Measurement and Analysis of Safety in Los Angeles, Rami Ibrahim and Omair Shafiq
  • 26. Optimizing NBA Player Selection Strategies Based on Salary and Statistics Analysis, Ramya Nagarajan and Lin Li
  • 27. Online Review Analysis by Visual Feature Selection, Keerthika Koka and Shiaofen Fang
  • 28. Exploring Dynamic Granules for Time-Varying Big Data, Zhengxin Chen
  • 29. Scalable Mining and Analysis of Protein-Protein Interaction Networks, Shaikh Arifuzzaman and Bikesh Pandey
  • 30. A Time-Delayed Information-theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark, Yasser Abduallah, Jason T. L. Wang and Tao Yu
  • 31. A Dynamic Power Management Schema for Multi-Tier Data Centers, Aryan Azimzadeh and Nasseh Tabrizi
  • 32. An Adaptive Initial Cluster Centers Selection Algorithm for High-dimensional Partition Clustering, Zhipeng Gao, Yidan Fan, Kun Niu and Ting Wang
  • 33. Super-scalable Computation Framework for Automated Terrain Identification, Yupeng Yan, Manu Sethi, Anand Rangarajan and Sanjay Ranka
  • 34. CENTAURUS: A Cloud Service for K-means Clustering, Nevena Golubovic, Angad Gill, Chandra Krintz and Rich Wolski
  • 35. Incremental Hybrid SDN Deployment for Enterprise Networks, Ming-Hung Chen, Wei-Min Wang, I-Hsin Chung and Cheng-Fu Chou
  • 36. DR-Update: A Dual-level Relay Scheme in Erasure-coded Storage Systems for Balanced Updates, Mingzhu Deng, Songping Yu, Xiao Nong, Fang Liu and Zhiguang Chen
  • 37. PTree: Direct Lookup with Page Table Tree for NVM File Systems, Jianqiang Zeng, Nong Xiao, Fang Liu, Lingyu Zhu and Yang Li
  • 38. Existing and Relevant Methodologies for Energy Efficient Cloud Data Centers, Sanjay Patel
  • 39. A Scalable Fair Heterogeneous Resource Allocation Scheme in Distributed Systems, Xiaoying Zheng and Ye Xia
  • 40. Promoting MLC STT-RAM For the Future Persistent Memory System, Xunchao Chen, Jun Wang and Jian Zhou
  • 41. File System for Non-volatile Main Memories: Performance Testing and Analysis, Yang Li, Fang Liu, Nong Xiao and Songping Yu
  • 42. Predicting Hospital Length of Stay Using Neural Networks on MIMIC III Data, Robert Steele, Thanos Gentimis, Ala J Alnaser, Alex Durante and Kyle Cook
  • 43. Distributed Algorithm for Geographic Opportunistic Routing in VANETs at Road Intersection, Debasis Das

  • Invited Full Papers
    • 1. Mixture Self-paced Learning for Multi-view K-means Clustering, Hong Yu, Yahong Lian, Xiujuan Xu, Xiaowei Zhao
    • 2. Combining Weather Condition Data to Predict Traffic Flow: A GRU Based Deep Learning Approach, Da Zhang, Mansur R. Kabuba
    • 3. An Online-offline Combined Big Data Mining Platform, Hao Lv, Weishan Zhang, Liang Xu, Xi Liu, Qinghua Lu, Yan Liu
    • 4. Attribute-based Partner Switching Boosts Cooperation in Social P2P Systems, Linlin Tian, Mingchu Li, Hong Yu, Xing Jin
    • 5. A Modified Node2vec Method for Disappearing Link Prediction, Lu Li, Wei Wang, Shuo Yu, Liangtian Wan, Zhenzhen Xu, Xiangjie Kong

    Short Papers
    • 1. Review on HDD-based, SSD-based and Hybrid Key-Value Stores, Juan Li, Nong Xiao, Zhiguang Chen and Fang Liu
    • 2. A Dependence Competing Risk model in Middle Censoring Based on Marshall-Olikn Weibull Distribution, Jingfeng Shao
    • 3. M2M: Technological Basis for Internet of Things, Octavio Salcedo Parra
    • 4. Application of Logistic Regression in Assessing Stock Performances, Usha Ananthakumar and Ratul Sarkar
    • 5. Spatiotemporal Visualization of Traffic Paths Using Time Curves in Color Space, Shenghui Jiang, Savitha Baskaran and Shiaofen Fang
    • 6. DeepSim: Cluster Level Behavioral Simulation Model for Deep Learning, Yuankun Shi, Kevin Long, Kaushik Balasubramanian, Bianny Bian, Adam Procter and Ramesh Illikkal
    • 7. Intelligent Perioperative System: Towards Big Data Analytics in Surgery Risk Assessment, Zheng Feng, Rajendra Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac and Xiaolin Li
    • 8. Seed Node Distribution for Influence Maximization in Multiple Online Social Networks, Soham Das
    • 9. Effective Mobile Notification Recommendation Using Social Nature of Locations, Prasanta Saikia and James She
    • 10. GUI-Based User Behavior Intrusion Detection, Zakiya Malek
    • 11. Building a Semi-Supervised Dataset to Train Journalistic Relevance Detection Models, Nuno Guimaraes and Alvaro Figueira
    • 12. Developing Adaptive Islamic Law Business Processes Models for Islamic Finance and Banking by Text Mining the Holy Qur’an and Hadith, Munir Majdalawieh, Farhi Marir and Issam Tiemsani
    • 13. The Optimal Meeting Point Based on Trip Plans in Spatial Databases, Mohammad Hossein Ahmadi

    Posters
    • 1. Big Data Mining and Visualization for Knowledge Discovery, Yas Alsultanny
    • 2. A Big Aurora Data Management Framework toward Aurora Classification, Yuhang Wang, Hui Zhao, Xian Zhang and Jimin Liang
    • 3. Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud, Yong-Hyun Kim and Eui-Nam Huh
    • 4. Improvement of Data Throughput In Data-Intensive Cloud Computing, Ibrahim Adel Ibrahim and Mostafa Bassiouni
    • 5. Mining the Statistical Information of Confidential Data from Noise-Multiplied Data, Yan-Xia Lin
    • 6. Signature Based AODV Protocol for Mobile Networks, Muazzam Ali Khan Khattak
    • 7. Formulation with Occurrence to Destination Stable Transport (ODST) Protocol in Wireless Sensor Networks for Internet of Things, Selvamani K, Sindhuja M and Kanimozhi S
    • 8. Orientation in Conceptual Modeling Frameworks, Sabah Al-Fedaghi and Haya Alahmad
    • 9. An Ensemble Framework for Missing Features in Streaming Data Classification, Hanqing Hu and Mehmed Kantardzic
    • 10. BLE Tree Networks for Sensor Devices in Internet of Things, Sheng-De Wang and Kuan-Jung Chiang
    • 11. A Parallel Majority Learning Algorithm for Anomaly Detection, Shin-Ying Huang, Ya-Yun Peng and Fang Yu
    • 12. Automate of the Fact-checking: State of Art, Obstacles and Perspectives, Edouard Ngor Sarr and Ousmane Sall
    • 13. Performance Analysis of Machine Learning Algorithms on Diabetes Dataset using Hive and R, Suresh Kumar and Pranavi S
    • 14. Yelp Business Rating Classification Using Hybrid Ensemble, Davin Kaing
    • 15. Extension of Semantic Based Urdu Linguistic Resources Using Natural Language Processing, Komal Mehmood, Hammad Afzal, Faiza Moqaddas, Naima Iltaf and Raheel Nawaz
    • 16. Deep Convolutional Neural Network for Facial Expression Recognition using Facial Parts, Lucy Nwosu, Jiang Lu and Hui Wang