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344 days remaining to submit papers to MIC-Multimedia 2027 in Porto, Portugal
1st Mosharaka International Conference on Big Data and Applications (MIC-Data 2027)
15-17 March 2027 (Hybrid Mode), Porto, Portugal
Conferences Links
  • Introduction
  • Author Kit
  • Submissions
  • DMKD
  • Welcome
  • Why MIC-Data 2027?
  • Dates
Welcome to MIC-Data 2027
Welcome to the 1st Mosharaka International Conference on Big Data and Applications (MIC-Data 2027). This event is intended to represent a major forum for researchers, professionals and students from all over the world to meet in hybrid mode (remotely or onsite) in in the beautiful and culturally rich city of Porto in Portugal to present their latest research results and to exchange new ideas and practical experiences.

Scope

MIC-Data 2027 main scope includes, but is not limited to the following areas: Big Data Models and Architectures; Data Mining and Knowledge Discovery; Big Data Analytics;

MIC-Data 2027 is planned to feature special sessions, keynote talks and tutorial sessions by leading experts, paper presentations, poster shows, demo shows, discussion panels, as well as other interesting technical activities.

MIC-Data 2027 Tracks

Big Data Models and Architectures
(BDMA)
Data Mining and Knowledge Discovery
(DMKD)
Big Data Analytics
(Analytics)
Why Take Part in MIC-Data 2027?
* Enjoy attending MIC-Data 2027 at PortoBay Flores, in Porto, Portugal.
* Enjoy moderate registration fees. Based on the user contribution index (UCI), proportionate registration discounts apply.
* Have the possiblity to extend and publish your conference papers with some of the top journal publishers.
* Only full paper submissions are allowed at all our conferences. No summary or abstract submissions are allowed. Conference topic coverage includes the most current and exciting fields of knowledge and research.
* Papers can be accepted to our conferences only after rigorous peer reviewing.
* Our outstanding reviewing process is facilitated by careful selection of technical program committee members from among the best international experts. Each submitted paper is subject to no less than three peer reviews before it can be considered for acceptance.
* Published papers of MIC-Data 2027 are indexed by Google Scholar. More indexing is on the way.
* At each congress, and based on paper review scores, the paper with the highest scores receives the Best Paper Award. This is an award to which only presented papers are eligible. The best paper award is usually delivered to the presenter of the winning paper at the main conference dinner.
MIC-Data 2027 Dates
MIC-Data 2027 Days Monday - Wednesday: 15-17 March 2027 (Hybrid Mode)
Full Paper Submission Deadline Sunday, 10 January 2027
Author Notifications Sunday, 24 January 2027
Final Paper Submissions Deadline Wednesday, 3 February 2027
Registration Deadline Wednesday, 3 February 2027
Registration Cancellation Deadline Tuesday, 9 February 2027
MIC-Data 2027 Submissions
BDMA
Big Data Models and Architectures
Submit a Paper
Deadline: Sunday, 10 January 2027
DMKD
Data Mining and Knowledge Discovery
Submit a Paper
Deadline: Sunday, 10 January 2027
Analytics
Big Data Analytics
Submit a Paper
Deadline: Sunday, 10 January 2027
MIC-Data 2027

Event Submissiions
Are you preparing a paper to submit to MIC-Data 2027?
If so, please help the organizing committee make good predictions about the potential size of MIC-Data 2027 participation. To do so, please indicate your plan to submit a contribution by clicking here. This does not imply any commitment on your side. Kindly note that clicking the above link does not involve submission of any contribution.
MIC-Data 2027 Track on Data Mining and Knowledge Discovery (DMKD)

DMKD track topics include, but are not limited to the following:

Bioinformatics; Brain Computer Interfaces; Classification of Medical Data; Clinical Data Analysis; Clustering of Medical Data; Data Mining for Fraud Detection; Data Mining for Medical Diagnosis; Data Streams Mining; Dynamic Data Mining; Evaluating and Consolidating Discovered Knowledge; Feature Selection and Extraction; Knowledge Discovery; Knowledge-Based Systems; Languages and Interfaces for Data Mining; Link and Graph Mining; Medical Data Visualization; Medical Decision Making; Medical Information Retrieval; Medical Knowledge Elicitation and Representation; Mining from Low-Quality Information Sources; Neural Networks; Spatial Data Mining; Statistical Techniques for Data Modeling; Text Mining
DMKD TPC DMKD Paper Submissions
GC-CompuSys 2027 Visits: 40748||MIC-Data 2027 Visits: 12819||DMKD Track Visits: 2470