International Conference on Innovation, Knowledge, and Management ICIKM on June 26-28, 2021 in Kowloon, Hong Kong

International Conference on Innovation, Knowledge, and Management ICIKM on June 26-28, 2021 in Kowloon, Hong Kong

International Conference on Innovation, Knowledge, and Management (ICIKM) June 26, 2021 - Kowloon, Hong Kong

For papers submitted to ICIKM 2021, we offer the publications as following:

1. Publication in Proceedings. Accepted papers after undergoing a preliminary review and rigorous peer review will be published in Conference Proceedings, which will be indexed by EI Compendex, Scopus, and some other major databases.

2. Publication in Journal. Selected papers will be published in the International Journal of Innovation, Management and Technology, which will be indexed by Google Scholar, Ulrich's Periodicals Directory, Crossref, ProQuest, etc.

 

Conference Co-chairs :

Prof. Benny C. F. Cheung, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong

Prof. Kuan-Chou Chen, Purdue University Northwest, USA

Program Chairs :

Prof. Ramayah Thurasamy, School of Management, Universiti Sains Malaysia, Malaysia

Prof. Eko K. Budiardjo, Faculty of Computer Science, University of Indonesia, Indonesia



Please feel free contact with us:

Conference Secretary: Nina Lee

E-mail: [email protected]

Telephone: +86-28-86512185

 

Knowledge Management Processes

Data/information extraction and integration

Management and Measurement of Intangibles

Frequent itemsets and sequential pattern mining

Mining and representing temporal and spatial data

Mining and representing text and semi-structured data

Mining and representing reviews, blogs & discussions

Pre-processing, post-processing and visual data mining

Mining and representing data streams, web content, structure and usage data

Novel data mining algorithms

Case Studies on Collaboration

Social Networks and Psychological Tools for Knowledge Management

Data Mining (store/discover/propagate)

Technologies for Knowledge Sharing

Link analysis and community discovery

Knowledge management and synthesis

Explanation and Knowledge Provenance

Name: etpub

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