International Conference on Business Information system, Innovation and Technology Management ( ICBISITM 2017 )  
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Home Call for Papers Paper Submission Registration Important Date Venue Program Schedule Committee Contact Us Virtual Presentation
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Call for Papers :
The Scientific Committee encourages you to submit your Original papers for ICIKMBDC 2017 . The Papers should be written in English, the official language of the event.
ICIKMBDC 2017 brings together leading academics and professionals in Knowledge Managment , Big Data Computing from around the world. It aims at providing a platform for discussions on issues that take into consideration the social and technological aspects of Big Data and Knowledge Mangement . The conference program includes paper presentation, keynote talks from prominent academics .
Some topics included but not limited
 

Knowledge Managment System :

  • Data and information acquisition and preprocessing 
  • Integration and aggregation 
  • Infrastructures 
  • Special data processing 
  • Integration of knowledge structures 
  • Analysis 
  • Information access and retrieval 
  • Data presentation 
  • Users and interfaces for information and data systems (
  • Crowd sourcing and exploitation of online resources
    Evaluation 
  • Applications (
  • Methodologies and computer supporting tools for
  • knowledge management
  • Models for knowledge management
  • Knowledge sharing and collaboration
  • Knowledge retention and transfer
  • Decision support systems for knowledge management
  • Knowledge management systems
  • Knowledge management and business process
  • modeling
  • Evaluation and measurement of knowledge
  • management systems
  • Inter-organizational knowledge management
  • Web 2.0 tools for knowledge management
  • Social and human factors in knowledge management
  • Ontology for knowledge management  
  • Organizational memory
  • Multi-agent systems for knowledge management
  • Information and knowledge systems
  • Knowledge management best practices
  • MOOC for Knowledge sharing
  • Smart city and knowledge management

Big Data Science and Foundations

  • Novel Theoretical Models for Big Data
  • New Computational Models for Big Data
  • Data and Information Quality for Big Data
  • New Data Standards

Big Data Infrastructure

  • Cloud/Grid/Stream Computing for Big Data
  • High Performance/Parallel Computing Platforms for Big Data
  • Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
  • Energy-efficient Computing for Big Data
  • Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
  • Software Techniques and Architectures in Cloud/Grid/Stream Computing
  • Big Data Open Platforms
  • New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
  • Software Systems to Support Big Data Computing

Big Data Management

  • Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Big Data Search Architectures, Scalability and Efficiency
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Visualization Analytics for Big Data
  • Computational Modeling and Data Integration
  • Large-scale Recommendation Systems and Social Media Systems
  • Cloud/Grid/Stream Data Mining- Big Velocity Data
  • Link and Graph Mining
  • Semantic-based Data Mining and Data Pre-processing
  • Mobility and Big Data
  • Multimedia and Multi-structured Data- Big Variety Data

Big Data Search and Mining

  • Social Web Search and Mining
  • Web Search
  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Big Data Search Architectures, Scalability and Efficiency
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Visualization Analytics for Big Data
  • Computational Modeling and Data Integration
  • Large-scale Recommendation Systems and Social Media Systems
  • Cloud/Grid/StreamData Mining- Big Velocity Data
  • Link and Graph Mining
  • Semantic-based Data Mining and Data Pre-processing
  • Mobility and Big Data
  • Multimedia and Multi-structured Data-Big Variety Data

Big Data Security, Privacy and Trust

  • Intrusion Detection for Gigabit Networks
  • Anomaly and APT Detection in Very Large Scale Systems
  • High Performance Cryptography
  • Visualizing Large Scale Security Data
  • Threat Detection using Big Data Analytics
  • Privacy Threats of Big Data
  • Privacy Preserving Big Data Collection/Analytics
  • HCI Challenges for Big Data Security & Privacy
  • User Studies for any of the above
  • Sociological Aspects of Big Data Privacy
  • Trust management in IoT and other Big Data Systems

Big Data Applications

  • Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
  • Big Data Analytics in Small Business Enterprises (SMEs)
  • Big Data Analytics in Government, Public Sector and Society in General
  • Real-life Case Studies of Value Creation through Big Data Analytics
  • Big Data as a Service
  • Big Data Industry Standards
  • Experiences with Big Data Project Deployments