IKE'18 - The 17th Int'l Conf on Information & Knowledge Engineering

by admin last modified Feb 23, 2018 09:54 AM
IKE is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results. It is being held jointly (same location and dates) with a number of other research conferences; namely, The 2018 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'18).

 

The conference is composed of a number of tracks, tutorials, sessions, workshops, poster and panel discussions; it will be held simultaneously with  other conferences at the same location on July 30-August 02, 2018 in Las Vegas, Nevada, USA.

You are invited to submit a paper for consideration. All accepted papers will be published in printed conference books/proceedings (each with a unique international ISBN number) and will also be made available online. The proceedings will be indexed in science citation databases that track citation frequency/data.

In addition, like prior years, extended versions of selected papers (about 40%) will appear in journals and edited research books; publishers include, Springer, Elsevier, BMC, and others). See the web link below for a small subset of such publications: (some of these books and journal special issues have already received the top 25% downloads in their respective fields and/or identified as "Highly Accessed" by publishers and/or science citation index trackers.) Click here for more details ... 


Topics of interest include, but are not limited to, the following:

    • Information Retrieval Systems
    • Knowledge Management and Cyber-Learning
    • Database Engineering and Systems
    • Data and Knowledge Processing
    • Databanks: Issues, Methods, and Standards
    • Data Warehousing and Datacenters
    • Health Information Systems
    • Data Security and Privacy Issues
    • Information Reliability and Security
    • Information and Knowledge Structures
    • Knowledge Life Cycle
    • Knowledge and Information Extraction and Discovery Techniques
    • Knowledge Classification Tools
    • Knowledge and Information Management Techniques
    • Knowledge Extraction from Images
    • Knowledge Representation and Acquisition
    • Knowledge Re-engineering
    • Large-scale Information Processing Methods
    • Intelligent Knowledge-based Systems
    • Re-usability of Software/Knowledge/Information
    • Formal and Visual Specification Languages
    • Decision Support and Expert Systems
    • e-Libraries (Digital Libraries) + e-Publishing
    • Ontology: Engineering, Sharing and Reuse, Matching and Alignment
    • Digital Typography
    • Agent-based Techniques and Systems
    • Workflow Management
    • Business Intelligence
    • Large-scale Information Processing Methods and Systems
    • Content Management
    • Data and Knowledge Fusion
    • Dataweb Models and Systems
    • Global Contextual Processing and Management Implementation
    • Data/Information/Knowledge Models
    • Managing Copyright Laws
    • Interoperability Issues
    • Transaction Systems
    • Search Methods
    • Ontologies and Semantics
    • Object-oriented Modeling and Systems
    • Case-based Reasoning
    • Digital Watermarking
    • Classical Aspects of Information Theory
    • Coding Theory
    • Quantum Information Theory
    • Applications (e-Commerce, Multimedia, Business, Banking, ...)
    • Emerging Technologies and Related Issues
    • Natural Language Processing
    • Information Integration
    • Multi-cultural Information Systems
    • Domain Analysis and Modeling
    • Metamodelling
    • Education and Training Issues
    • Knowledge Mining
    • Information and Knowledge Engineering in the Context of Big Data:

- Massively Parallel Processing (MPP) Databases 
- Information Mining Grids
- Distributed Databases
- Cluster Analysis
- Crowdsourcing
- Data Fusion and Integration
- Neural Networks
- Pattern Recognition
- Data Anomaly Detection
- Supervised and Unsupervised Learning
- Time Series Analysis and Visualisation
- Search-based Applications

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