The International Conference of Young Computer Scientists, Engineers and Educators (ICYCSEE) 2015 (http://icycsee.hljit.edu.cn) will take place in Harbin, China, 10-12 Jan 2015, hosted by Heilongjiang Institute of Technology.ICYCSEE 2015 is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series (final approval pending), and it will be indexed by EI Compendex according to previous experience of Springer. The program committee will recommend some high-quality papers to Journal of Zhejiang University (SCI journal) and Chinese of Journal.You can ONLY submit your paper to the SCI journals, i.e. Journal of Zhejiang University or Chinese Journal of Electronics.
From now on, the conference ONLY accepts submissions for the proceedings with Springer (EI indexed). The conference does not recommend any submission later than Aug. 9th to the SCI journals. Note that even though some high-quality papers submitted later than Aug 9th will also be recommended to SCI Journal.
The conference invites computer scientists, engineers and educators to submit original research, application and education papers on topics of Big Data, including but not limited to the following areas in four tracks:
Research Track
¡ñ Big Data Science and Foundations
a. Novel Theoretical Models for Big Data
b. New Computational Models for Big Data
c. Data and Information Qualityfor Big Data
d. New Data Standards
¡ñ Big Data Infrastructure
a. Cloud/Grid/Stream Computing for Big Data
b. High Performance/Parallel Computing Platforms for Big Data
c. Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
d. Energy-efficient Computing for Big Data
e. Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
f. Software Techniques andArchitectures in Cloud/Grid/Stream Computing
g. Big Data Open Platforms
h. New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
i. Software Systems to Support Big Data Computing
¡ñ Big Data Management
a. Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
b. Algorithms and Systems for Big DataSearch
c. Distributed, and Peer-to-peer Search
d. Big Data Search Architectures, Scalability and Efficiency
e. Data Acquisition, Integration, Cleaning, and Best Practices
f. Visualization Analytics for Big Data
g. Computational Modeling and Data Integration
h. Large-scale Recommendation Systems and Social Media Systems
i. Cloud/Grid/StreamData Mining- Big Velocity Data
j. Link and Graph Mining
k. Semantic-based Data Mining and Data Pre-processing
l. Mobility and Big Data
m. Multimedia and Multi-structured Data- Big Variety Data
¡ñ Big Data Search and Mining
a. Social Web Search and Mining
b. Web Search
c. Algorithms and Systems for Big DataSearch
d. Distributed, and Peer-to-peer Search
e. Big Data Search Architectures, Scalability and Efficiency
f. Data Acquisition, Integration, Cleaning, and Best Practices
g. Visualization Analytics for Big Data
h. Computational Modeling and Data Integration
i. Large-scale Recommendation Systems and Social Media Systems
j. Cloud/Grid/StreamData Mining- Big Velocity Data
k. Link and Graph Mining
l. Semantic-based Data Mining and Data Pre-processing
m. Mobility and Big Data
n. Multimedia and Multi-structured Data- Big Variety Data
¡ñ Big Data Security & Privacy
a. Intrusion Detection for Gigabit Networks
b. Anomaly and APT Detection in Very Large Scale Systems
c. High Performance Cryptography
d. Visualizing Large Scale Security Data
e. Threat Detection using Big Data Analytics
f. Privacy Threats of Big Data
g. Privacy Preserving Big Data Collection/Analytics
h. HCI Challenges for Big Data Security & Privacy
i. User Studies for any of the above
j. Sociological Aspects of Big Data Privacy
¡ñ Big Data Applications
a. Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
b. 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 DataAnalytics
e. Big Data as a Service
f. Big Data Industry Standards
g. Experiences with Big Data Project Deployments
Industry Track
¡ñ Applications of Big Data
¡ñ Applications of Artificial Intelligence
Education Track
¡ñ Big Data and AI Education Research
¡ñ Big Data and AI Education Methods
¡ñ Big Data and AI Education Materials
¡ñ Big Data and AI Education Programs
¡ñ Big Data and AI Education Technology
Demo Track
¡ñ Research Demo
¡ñ Industry Product Demo
¡ñ Education Demo
Submission Deadline: August 24, 2014
Notification of acceptance:
September 19, 2014
September 23, 2014
Conference Dates: January 10-12, 2015