Conference Code: 23ES03ICKDDM
Conference Aims and Objectives
The ICKDDM 2023: 25th International Conference on Knowledge Discovery and Data Mining
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Knowledge Discovery and Data Mining. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Knowledge Discovery and Data Mining.
Call for Contributions
All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Knowledge Discovery and Data Mining are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET
Federated conference series is an event that brings together significant number of recurring events; academic conferences, symposia, workshops, special sessions, and plenary talks in the field of science and technology since inception in 1999. Each event may run over any span of time within the conference days.
All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI)
, Google Scholar
, Semantic Scholar
, and other index databases. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk. Impact Factor Indicators
Special Journal Issues
has teamed up with the Special Journal Issue on Knowledge Discovery and Data Mining
A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form
|Abstracts/Full-Text Paper Submission Deadline
||May 26, 2022
|Notification of Acceptance/Rejection
||October 30, 2022
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||November 26, 2022
||March 26 - 27, 2023
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
Please refer to the Paper Submission GUIDE
before submitting your paper.
Selected Conference Papers
1) Procedure Model for Data-Driven Decision Support Regarding the Integration of Renewable Energies into Industrial Energy Management M. Graus, K. Westhoff, X. Xu 2) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in RJaya Mathew 3) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning MethodDalin Si, Azizan Aziz, Bertrand Lasternas 4) Application of Data Mining Techniques for Tourism Knowledge DiscoveryTeklu Urgessa, Wookjae Maeng, Joong Seek Lee 5) An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented GradientZiad Abdallah, Mohamad Oueidat, Ali El-Zaart 6) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based DataSun-Young Jang, Sung-Ah Kim, Dongyoun Shin 7) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification TechniquesSannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel 8) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform InstancesVioleta Damjanovic-Behrendt 9) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative FrequencySemeh Ben Salem, Sami Naouali, Moetez Sallami 10) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based FeaturesTharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi 11) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism DatabaseSemeh Ben Salem, Sami Naouali, Moetez Sallami 12) Load Forecasting in Microgrid Systems with R and Cortana Intelligence Suite F. Lazzeri, I. Reiter 13) Summarizing Data Sets for Data Mining by Using Statistical Methods in Coastal EngineeringYunus Doğan, Ahmet Durap 14) The Survey Research and Evaluation of Green Residential Building Based on the Improved Group Analytical Hierarchy Process Method in YinchuanYun-na Wu, Zhen Wang 15) Energy-Efficient Clustering Protocol in Wireless Sensor Networks for Healthcare Monitoring Ebrahim Farahmand, Ali Mahani
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