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ORCID3rd BDCAT 2016: Shanghai, China
- Ashiq Anjum, Xinghui Zhao:
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016, Shanghai, China, December 6-9, 2016. ACM 2016, ISBN 978-1-4503-4617-7
Big data & machine learning
- Linh Le, Jie Hao, Ying Xie, Jennifer L. Priestley
:
Deep kernel: learning kernel function from data using deep neural network. 1-7 - Salman Salloum, Joshua Zhexue Huang, Yu-Lin He:
Empirical analysis of asymptotic ensemble learning for big data. 8-17 - Muhammad Usman Yaseen, Ashiq Anjum, Nick Antonopoulos:
Spatial frequency based video stream analysis for object classification and recognition in clouds. 18-26
Hadoop & spark
- Marco Cavallo, Carmelo Polito, Giuseppe Di Modica, Orazio Tomarchio:
H2F: a hierarchical hadoop framework for big data processing in geo-distributed environments. 27-35 - Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters. 36-45 - Yi Chen, Behzad Bordbar:
DRESS: a rule engine on spark for event stream processing. 46-51
Visualization & social networks
- Chris W. Muelder, Robert Faris, Kwan-Liu Ma:
A visual analytics approach to author name disambiguation. 52-60 - Ying Xie, Pooja Chenna, Jing (Selena) He, Linh Le, Jacey Planteen:
Visualization of big high dimensional data in a three dimensional space. 61-66 - Aqsa Hameed, Saqib Ali, Roger Les Cottrell, Bebo White:
Applying big data warehousing and visualization techniques on pingER data. 67-72 - Bo Yuan, Lu Liu, Nick Antonopoulos:
Efficient service discovery in decentralized online social networks. 73-78
Health applications
- Arjun P. Athreya, Kee Yuan Ngiam, Zhaojing Luo, E. Shyong Tai, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Towards longitudinal analysis of a population's electronic health records using factor graphs. 79-86 - Chunxiao Xing, Shunyao Wu, Fengjing Shao, Rencheng Sun:
Disease gene discovery of single-gene disorders based on complex network. 87-93 - Mohammed Bahja, Mark Lycett:
Identifying patient experience from online resources via sentiment analysis and topic modelling. 94-99
Data model & information retrieval
- Amir Sinaeepourfard, Jordi Garcia, Xavier Masip-Bruin, Eva Marín-Tordera:
Towards a comprehensive data lifecycle model for big data environments. 100-106 - Christina Lioma, Birger Larsen, Wei Lu, Yong Huang:
A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval? 107-117 - Francisco J. Clemente-Castelló, Bogdan Nicolae, Rafael Mayo, Juan Carlos Fernández, M. Mustafa Rafique:
On exploiting data locality for iterative mapreduce applications in hybrid clouds. 118-122
Spatial data analytics
- Mariam Malak Fahmy, Iman Elghandour, Magdy H. Nagi:
CoS-HDFS: co-locating geo-distributed spatial data in hadoop distributed file system. 123-132 - Billy Pik Lik Lau, Tanmay Chaturvedi, Benny Kai Kiat Ng, Kai Li, Marakkalage S. Hasala, Chau Yuen:
Spatial and temporal analysis of urban space utilization with renewable wireless sensor network. 133-142 - Vinutha Magal Shreenath, Sebastiaan A. Meijer:
Spatial big data for designing large scale infrastructure: a case-study of electrical road systems. 143-148
Scalability & performance
- Jingcai Guo:
An improved incremental training approach for large scaled dataset based on support vector machine. 149-157 - Linlin You, Bige Tunçer:
SAPAM: a scalable "activities in places" analysis mechanism for informed place design. 158-167 - Mohamed Hassaan, Iman Elghandour:
A real-time big data analysis framework on a CPU/GPU heterogeneous cluster: a meteorological application case study. 168-177
Pattern detection & recognition
- Christophe Courtin, Miguel Tomasena:
A benchmarking platform for analyzing corpora of traces: the recognition of the users' involvement in fields of competencies. 178-186 - Abdul Razaq, Huaglory Tianfield, Peter Barrie:
A big data analytics based approach to anomaly detection. 187-193 - Jingjiao Zhang, Jiaqing Fu, Chunhong Zhang, Xin Ke, Zheng Hu:
Not too late to identify potential churners: early churn prediction in telecommunication industry. 194-199
Visual and graph analytics
- Tim Kiefer, Dirk Habich, Wolfgang Lehner:
Penalized graph partitioning based allocation strategy for database-as-a-service systems. 200-209 - Phuong-Hanh Du, Hai-Dang Pham, Ngoc-Hoa Nguyen:
Optimizing the shortest path query on large-scale dynamic directed graph. 210-216 - Zhenglong Yan, Wenjian Luo, Chenyang Bu, Li Ni:
Clustering spatial data by the neighbors intersection and the density difference. 217-226
Memory & storage
- Jie Zhou, Yanyan Shen, Sumin Li, Linpeng Huang:
NVHT: an efficient key-value storage library for non-volatile memory. 227-236 - Ahsan Javed Awan, Vladimir Vlassov, Mats Brorsson, Eduard Ayguadé:
Node architecture implications for in-memory data analytics on scale-in clusters. 237-246 - Mehnuma Tabassum Omar, K. M. Azharul Hasan:
A scalable storage system for structured data based on higher order index array. 247-252
Big data applications 1
- Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni:
Neighborhood features help detecting non-technical losses in big data sets. 253-261 - Qing Sun, Jianwei Niu, Zhong Yao, Dongmin Qiu:
Research on semantic orientation classification of chinese online product reviews based on multi-aspect sentiment analysis. 262-267 - Anne M. Tall, Jun Wang, Dezhi Han:
Survey of data intensive computing technologies application to to security log data management. 268-273 - Mohammed N. Ba-Hutair, Zaher Al Aghbari, Ibrahim Kamel:
Social community detection based on node distance and interest. 274-289
Big data applications 2
- Guoying Zhang, Min He, Hao Wu, Guanghui Cai, Jianhong Ge:
Non-negative multiple matrix factorization with social similarity for recommender systems. 280-286 - Jian Li, Guanjun Liu, Changjun Jiang, ChunGang Yan:
A hybrid method of recommending POIs based on context and personal preference confidence. 287-292 - Jie Hou, Ya Zhang, Xiao Gu:
Synergy and antagonism in online advertising. 293-301 - Manxing Du, Radu State, Mats Brorsson, Tigran Avanesov:
Behavior profiling for mobile advertising. 302-307
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