ISSDM 2013 - 2013 International Conference on New Trends in Information Science, Service Science and Data Mining
Date2013-05-29 - 2013-05-31
Deadline2013-03-20
VenueMacau, Macau SAR
Keywords
Websitehttps://www.aicit.org/issdm
Topics/Call fo Papers
ISSDM2013 stands for 2013 7th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA). It is a premium international conference covers all areas related to the Theory, Development, Applications, Experiences and Evaluation of Networked/Ubiquitous Computing and gathers fellow students, researchers and practitioners in these fields from all around the world.
We especially encourage paper submissions from these categories of topics: Data mining and Intelligent IT applications, ranging from theories, algorithms, analysis, models, designs, applications to industry experiences. Topics include but not necessarily limited to the following areas:
1. Track NISS
? ISC: Issues on Service Computing
? IIS: Issues on Information Science
? ISE: Issues on Communication, energy-efficiency in Communication/Ubiquitous Computing/WSN/Mobile Network, Network and Electronics
? IMS: Issues on Information Management and Service
? IICS: Issues on Industry and Convergence Science
2. Track ICMIA
? Core Data Mining Topics
? Information Technology Applications Related Topics
? Data Mining For Intelligent IT Application Topics
ISSDM builds on the success of previous international conferences and workshops in this series (NMS: Networked Media and Services, HiNMS: High Performance NMS) held in Singapore, Poland, China, and Korea.
Objectives and Vision
In this decade, with advancements in data mining, many new models and tools in discovering knowledge and extracting intelligence brought forth revolutionary developments in information technology (IT) applications in business world as well as other industries. Some examples are intelligent agents, knowledge-driven trading systems, optimized scheduler for logistics, decision support systems, forecasting applications, and other emerging collective intelligence applications such as Web 2.0. Data mining can be viewed as the core underlying techniques that enable the IT applications with actionable intelligence and knowledge. While Data Mining evolves with innovative learning algorithms and knowledge discovery techniques, IT applications harness the results of data mining for becoming more intelligent than ever.
ISSDM2013, which stands for Advancements in Computing Technology, is a platform for the two research directions to converge. It aims to provide an intellectual forum for researchers in academia, and practitioners and engineers from IT industries to present their latest research findings and to identify future challenges in this novel combination of research areas.
ISSDM2013 serves as a convergent point for sparking new ideas and generating new synergies from experts of the two fields.
We especially encourage paper submissions from these categories of topics: Data mining and Intelligent IT applications, ranging from theories, algorithms, analysis, models, designs, applications to industry experiences. Topics include but not necessarily limited to the following areas:
1. Track NISS
? ISC: Issues on Service Computing
? IIS: Issues on Information Science
? ISE: Issues on Communication, energy-efficiency in Communication/Ubiquitous Computing/WSN/Mobile Network, Network and Electronics
? IMS: Issues on Information Management and Service
? IICS: Issues on Industry and Convergence Science
2. Track ICMIA
? Core Data Mining Topics
? Information Technology Applications Related Topics
? Data Mining For Intelligent IT Application Topics
ISSDM builds on the success of previous international conferences and workshops in this series (NMS: Networked Media and Services, HiNMS: High Performance NMS) held in Singapore, Poland, China, and Korea.
Objectives and Vision
In this decade, with advancements in data mining, many new models and tools in discovering knowledge and extracting intelligence brought forth revolutionary developments in information technology (IT) applications in business world as well as other industries. Some examples are intelligent agents, knowledge-driven trading systems, optimized scheduler for logistics, decision support systems, forecasting applications, and other emerging collective intelligence applications such as Web 2.0. Data mining can be viewed as the core underlying techniques that enable the IT applications with actionable intelligence and knowledge. While Data Mining evolves with innovative learning algorithms and knowledge discovery techniques, IT applications harness the results of data mining for becoming more intelligent than ever.
ISSDM2013, which stands for Advancements in Computing Technology, is a platform for the two research directions to converge. It aims to provide an intellectual forum for researchers in academia, and practitioners and engineers from IT industries to present their latest research findings and to identify future challenges in this novel combination of research areas.
ISSDM2013 serves as a convergent point for sparking new ideas and generating new synergies from experts of the two fields.
Other CFPs
- 7th International Conference on New Trends in Information Science and Service Science (NISS2013)
- 2nd Mining Humanistic Data Workshop
- 31st International Symposium on Computer Performance, Modeling, Measurements and Evaluation 2013
- 4th 4DIAC Users' Workshop
- 18th IEEE International Conference on Emerging Technologies & Factory Automation
Last modified: 2013-01-17 20:47:06