Conference Information
CISDM 2020: Euro-Asia Conference on Information System and Data Mining
http://www.ecisdm.org/
Submission Date:
2020-11-09 Extended
Notification Date:
2020-11-15
Conference Date:
2020-12-09
Location:
Bangkok, Thailand
Years:
2
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Conference Location
Call For Papers
★2020年第二届欧亚信息系统与数据挖掘国际会议(CISDM 2020)---Ei Compendex&Scopus-Call for papers
|2020年12月9-11日,泰国曼谷|网站: www.ecisdm.org   

★CISDM 2020将围绕“信息系统与数据挖掘”的最新研究领域而展开,来自世界各地的主要研究人员和行业专家将通过论文和口头报告介绍最新研究成果。会议的这三天里,您将有机会聆听到前沿的学术报告,见证该领域的成果与进步。

★出版和索引
所有接受的论文将在线出版,将被Ei Compendex,SCOPUS,Google Scholar,Cambridge Scientific Abstracts(CSA),Inspec, ISTP等检索,优秀论文将在国际期刊上发表。

★特邀演讲嘉宾
一.Manoj Thulasidas教授——新加坡管理大学,新加坡

二.Nazri Kama教授——马来西亚理工大学,马来西亚
Nazri Kama博士是马来西亚理工大学技术与信息学院的副教授兼研究与创新副院长。他获得了西澳大利亚大学(2010年)的博士学位,专攻需求工程领域的软件工程。他在马来西亚泰克诺洛基大学获得管理信息系统学士学位(1999年)和实时软件工程硕士学位(2001年)。他是软件工程研究小组的一名活跃的软件工程研究员,并在各种软件开发项目中成功地利用了他的专业知识。

★节目预览/节目一览
12月9日:注册+接待
12月10日:开幕式+ KN演讲+分会场报告
12月11日:分会场报告+实验室参观/半日游

★论文提交及要求
1. 通过CMT提交PDF版本:https://cmt3.research.microsoft.com/CISDM2020
2.投稿邮箱:cisdm@hksra.org  
3.投稿要求:
(1)稿件必须为全英文稿件,图片、表格、公式中均不允许有中文出现,稿件需与主题相关。
(2)主题突出,内容层次分明,数据准确可靠,论述严谨,结论明确。未在国内外公开刊物或其它学术会议上发表过。
(3)请作者按照官网上模板的格式编排(最好是在模板的基础上替换原文内容)。本次会议采取先投稿、先送审、符合条件者先发送录用通知方式进行。审稿周期约为3-7个工作日。
(4)投稿的文章经过初审之后,将提交给至少2名审稿委员会成员进行同行审查,审查内容包括原创性、技术或研究的内容和深度、会议主题相关性、贡献性和可读性。
(5)如果只参会做报告,不出版,则只需提交摘要以供审阅。听众不需要提交稿件,注册成功的听众可以参加会议的所有分会。
(6)稿件不允许有剽窃行为,涉嫌抄袭的文章将不会送审。

★联系我们
陈女士
电子邮件:cisdm@hksra.org  
网站:www.ecisdm.org 
QQ: 2011307354(加QQ时请附上您想咨询的会议名字简称,如:CISDM 2020)

Call for papers(http://www.ecisdm.org/cfp.html):
Agile Methodologies
Business Process Change
Communities of practice and Knowledge Sharing
Competitive analysis of mining algorithms
Consultancy
Core Theories, Conceptualisations and Paradigms
Data mining systems in finance and e-commerce 
Data mining visualization
Deductive and Inductive Approaches
Design and Development as a Component-Based Process
Design and Development Methodologies and Frameworks
Dilution of Organisational Boundaries
E-Learning in Information System
Enterprise Application Integration
Enterprise Resource Planning
Ethical, social, privacy, security and moral issues
Fads, Fashions and Fetishes in Information System Curricula
Graph and subgraph mining
High performance data mining algorithms
Industrial Research and Academic Research Issues
Industry Innovation and Leadership and Academic Laggards
Information Management
Information System and Business Studies
Information System and Change Management
Information System and Computer Science Research
Information System Quality Management and Assurance
Information System Standards and Compliance Issues
Innovation and Information System
Innovation and Knowledge Management
Instructional Design for Information System
Iterative and Incremental Methodologies
Knowledge Management
Methodologies on large-scale data mining
Mining on data streams
Multi-method Approaches and Triangulations
Multiculturality and Diversity Issues in Information System Learning and Teaching
Multidisciplinary Views and Multi Methodological Approaches
National Cultures and Approaches to Pedagogy
Ontological Assumptions in Information System Research
Parallel and distributed data mining algorithms
Positivist, Interpretivist and Critical Approaches to Information System Research
Practitioner and Research Relationship, Projects and Links
Quantitative and Qualitative Methods
Research Constraints, Limitations and Opportunities
Risk Management in Information System Design and Development
Scalable data preprocessing
Security and privacy issues
Structure mapping engine (SME)
Text, video, multimedia data mining
The centrality of Information System and IT in Organisational Processes
The role of information in the information society
Validity, Usefulness and Applicability of Information System Academic Research
Web mining
Last updated by Wind Zeng in 2020-05-31
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