Conference Information

DMBD 2020: International Conference on Data Mining and Big Data

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Submission Date:
2020-03-19 Extended
Notification Date:
2020-03-31
Conference Date:
2020-07-14
Location:
Belgrade, Serbia
Years:
5
Viewed: 24204   Tracked: 14   Attend: 3

Call For Papers

DMBD 2020 (International Conference on Data Mining and Big Data) is an academic conference held in Belgrade, Serbia on 2020-07-14. The paper submission deadline is 2020-03-19 (extended). Acceptance notifications are sent on 2020-03-31.

DMBD 2020 will feature plenary lectures given by worldwide renowned speakers, regular sessions with broad coverage, and some special sessions focused on some popular topics. Major topics to be addressed at the conference include, but are not limited to the following areas: Topics of interest include, but are not limited to: Data Mining Theory, algorithms and models of data mining Machine learning for data mining Statistical methods for data mining Data mining systems Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data Data mining in personalization and recommendation Case-Based Reasoning Similarity-Based Reasoning Clustering Classification Prediction Algorithms Association rules Capability indices Deviation and novelty detection Conceptional learning Inductive learning Organisational Learning Evolutional learning Sampling methods Similarity measures Similarity learning Statistical learning Neural Net Based Learning Feature Learning Frequent pattern mining Applications in all aspects of data mining Big Data Data models and architectures Security, privacy, and trust Data protection and integrity Identity theft, data loss and leakage Legal and ethicalissues Data analytics and metrics Data representation and structures Data management and processing Data capturing and acquisition Tools and technologies QoS in big data Applications Social networks analysis Data searching and mining Visualisation of data Personal data logging and quantified-self Context-aware data Data economics Applications of datamining and big data Methodologies and use cases Usability issues Storages and network requirements Network models and protocols Big data in cloud and IoT Techniques for Big Data Processing
Last updated by Dou Sun on

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