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CISDM 2020 : 2020 2nd European Conference on Information System and Data Mining (CISDM 2020)


When Sep 18, 2020 - Sep 20, 2020
Where Saint Petersburg, Russia
Submission Deadline Mar 31, 2020
Notification Due Mar 31, 2020
Final Version Due Mar 31, 2020
Categories    information system   data mining

Call For Papers

★2020 2nd European Conference on Information System and Data Mining (CISDM 2020)-- Ei Compendex & Scopus—Call for papers
|September 18-20, 2020|Saint Petersburg, Russia|Website:

★CISDM 2020 presents researchers, engineers, and academics with an unprecedented opportunity to associate and interact with some of the foremost experts in the field of Information System and Data Minin from around the globe. CISDM 2020 aims to be the must-visit conference of the year for the field, and will be the ideal forum for the exchange of ideas and innovations that promise to change the face of the industry. For researchers, an engineers, or industry professionals, this conference could mark an important point in your career. 

★Publication and Indexing
All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers will be recommended to be published in journals.

★Program Preview/ Program at a glance
September 18: Conference registration + Tutorial(pending) +  Icebreaker reception
September 19: Invited Speech + Technical Sessions +  Closing Ceremony
September 20: One day Tour/ Halfday tour/Field trip

★Paper Submission
1. PDF version submit via CMT:
2.Submit Via email directly to:

Ms.Tiya T. Deng

Call for papers(
Information System
Agile Methodologies
Business Process Change
Communities of practice and Knowledge Sharing
Core Theories, Conceptualisations and Paradigms in IS Research
Deductive vs Inductive Approaches
Design and Development Methodologies and Frameworks
Design Research and the Sciences of the Artificial in IS
Dilution of Organisational Boundaries
E-Learning in IS
Enterprise Application Integration
Enterprise Resource Planning
Ethical, social, privacy, security and moral issues in an e-society
Examples of experimental research designs in IS
Fads, Fashions and Fetishes in IS Curricula
Industrial Research versus Academic Research Issues
Industry Innovation and Leadership and Academic Laggards
Information Management
Innovation and IS
Innovation and Knowledge Management
Instructional Design for IS
IS and Change Management
IS and Organisation Development
IS and SMEs
IS consultancy as a profession
IS D Design and Development as a Global and Distributed Process
IS Design and Development as a Component-Based Process
IS Design and Development as Social Negotiation Process
IS Management
IS Project Management
IS Quality Management and Assurance
IS Research Constraints, Limitations and Opportunities
IS Standards and Compliance Issues
IS vs Business Studies
IS vs Computer Science Research
Iterative and Incremental Methodologies
Knowledge Management
Multiculturality and Diversity Issues in IS Learning and Teaching
Multidisciplinary Views and Multi Methodological Approaches
Multi-method Approaches and Triangulations in IS Research
Myths, taboos and misconceptions in IS
National Cultures and Approaches to Pedagogy
New and alternative approaches to IS research
New Organisational Forms
Ontological Assumptions in IS Research
Organisational IS Roles
Outsourcing in IS
Outsourcing Risks, Barriers and Opportunities
Patterns of Demand for IS Teaching Provision
Pedagogic practice in Teaching IS
Positivist, Interpretivist and Critical Approaches to IS Research
Power, Cultural, Behavioural and Political issues
Practitioner and Research Relationship, Projects and Links
Quantitative vs. Qualitative Methods
Risk Management in IS
Risk Management in IS Design and Development
The centrality of IS and IT in Organisational Processes
The role of information in the information society
Validity, Usefulness and Applicability of IS Academic Research

Data Mining
Competitive analysis of mining algorithms
Data mining systems in finance and e-commerce
Data mining visualization
Graph and subgraph mining
High performance data mining algorithms
Methodologies on large-scale data mining
Mining on data streams
Parallel and distributed data mining algorithms
Scalable data preprocessing
Security and privacy issues
Text, video, multimedia data mining
Web mining

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