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