Call for Papers

The year 2021 marks the 17th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA'21), which will be held in Sydney, Australia, 1-3 December, 2021. It is our great pleasure to invite you to contribute papers and participate in this premier annual event on research and applications of data mining.

The conference aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining, such as smartphone and social network mining, bio-medical science and green computing. ADMA'21 will promote the same close interaction and collaboration among practitioners and researchers. Published papers will go through a full peer review process.

We invite authors to submit papers on topics of data mining and applications, including but not limited to:

Data Mining Theory:
1. Data mining foundations;
2. Grand challenges of data mining;
3. Parallel and distributed data mining algorithms;
4. Mining on data streams;
5. Graph mining;
6. Spatial data mining;
7. Text, video, multimedia data mining;
8. Web mining; High performance data mining algorithms;
9. Correlation mining;
10. Benchmarking and evaluations;
11. Interactive data mining;
12. Data-mining-ready structures and pre-processing;
13. Data mining visualization;
14. Information hiding in data mining;
15. Security and privacy issues;
16. Competitive analysis of mining algorithms;
17. Internet of Things mining;
18. Personalization and recommendation systems;
19. Deep Learning with small samples of Web Data;

Data Mining Applications:
1. Big data;
2. Web of Things;
3. Grid computing;
4. DNA sequencing, genomics, and biometrics;
5. Image interpretations;
6. E-commerce and Web services;
7. Health informatics;
8. Disaster prediction;
9. Remote monitoring;
10. Financial market analysis;
11. Online filtering;
12. Application of Data Mining in Education;
13. Social network data mining;
14. Smartphone data mining;
15. Database administration, indexing, performance tuning;
16. Green computing data mining;
17. Smart Nation applications;
18. Crowdsourcing.

Submission Guidelines

Important Dates:

     ○    Submission deadline: 15 Aug 2021 (Anywhere on Earth)
     ○    Notification date: 15 Sep 2021
     ○    Camera-ready version: 30 Sep 2021
     ○    Conference dates: 1-3 Dec 2021

Formatting Guidelines:

     ○    The paper should be in English and contain unpublished contributions to the data mining and related fields.
     ○    The paper should not exceed 15 pages in LNAI (Lecture Notes in Artificial Intelligence) format.
     ○    Manuscripts must be prepared in accordance with the LNAI format.
     ○    For the template and details on the LNCS style, see Springer’s Author Instructions, click here.
     ○    Submissions are reviewed in a single-blind manner.

Submission Site:   https://cmt3.research.microsoft.com/ADMA2021/Submission/Index       

Camera Ready Instructions

Authors of accepted papers should read the following pertaining to the publication process of their ADMA contribution.

Deadline: 30 Sep  3 Oct 2021 (Anywhere onEarth)

The camera-ready copy of your paper (togetherwith source files, signed copyright form and a readme file) must be submittedto CMT system (https://cmt3.research.microsoft.com/ADMA2021 )

This is absolutely firm deadline; missing it means your paper will not be included in the conference proceedings.

To prepare for your camera-ready submission, please read the following instructions carefully.

Your paper will be published in the conference proceedings by Springer as a volume of its Lecture Notes in Computer Science series. LaTeX and Word templates, camera-ready and copyright instructions are to be found here: instructions. To avoid typesetting issues, please use the LNCS templates and style files available from Springer (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Please DO NOT alter margins or use similar other tricks (e.g., use \vspace, change font size etc.) to gain more space. If you do, your paper will be returned, and you need to fix these issues.

Please Note that:
      (a) Camera-ready papers should NOT have page numbers. All numbering will be done by the proceedings editor.
      (b) The page limit is strict and final:
              1.  Regular papers with oral presentations: 15 pages
              2. Regular papers with poster presentations: 12 pages 
       (c) Submissions should be identifiable through the filename convention: ADMA21_PresentationType_XX.pdf. Here, the PresentationType is Oral or Poster, and XX is the paper number assigned to your submission by CMT (e.g.: a regular paper with oral presentation with ID 26 should be named ADMA21_Oral_26.pdf)
      (d) Download and fill the Copyright form by clicking here. The file has to be named copyright_XX.pdf (e.g., copyright_26.pdf). Camera-ready paper must be accompanied by a signed copyright form. Please note that digital signatures are not accepted, and the form needs to be signed in ink and then scanned. Papers whose copyright has not been transferred on time will not be included in the proceedings.
      (e) Download the readme_XX.xml file and fill it (please see a sample file if you are unsure how to fill it). The file has to be named readme_XX.xml (e.g., readme_26.xml) . The publication chair will use these details to automatically compile a list for Springer production department.
      (f) Create a folder named source_XX, where XX is the paper number assigned by CMT3 (e.g., source_26). The folder must contain all of your source (input) files necessary to compile it correctly: For example,
              1. LaTeX2e files for the text and PS/EPS or PDF/JPG files for all figures.
              2. Any further style files and fonts you have used together with your source files and that are not generally available at CTAN.
              3. Final PDF file (for reference).
              4. RTF files (for word-processing systems other than LaTeX/TeX).
              5. The texts in all files (e.g., PDF and source files) must be identical. 
        Please make sure that your files compile successfully. Failure to compile may result in delays and, in some cases, exclusion from the final proceedings.
       (g) Compress the following files in a ZIPed file and submit to the CMT3 system (https://cmt3.research.microsoft.com/ADMA2021). The ZIPed file has to be named ADMA21_PresentationType_XX.zip (e.g., ADMA21_Oral_26.zip), including following files:
              1. Camera-ready paper (ADMA21_Oral_XX.pdf file).
              2. Completed copyright form (copyright_XX.pdf).
              3. A readme giving the name and email address of the contact author (readme_XX.xml).
              4. The folder containing source files (source_XX).

Call for Papers

The year 2021 marks the 17th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA'21), which will be held in Sydney, Australia, 2-5 December, 2021. It is our great pleasure to invite you to contribute papers and participate in this premier annual event on research and applications of data mining.

The conference aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining, such as smartphone and social network mining, bio-medical science and green computing. ADMA'21 will promote the same close interaction and collaboration among practitioners and researchers. Published papers will go through a full peer review process.

We invite authors to submit papers on topics of data mining and applications, including but not limited to:

Data Mining Theory:
1. Data mining foundations;
2. Grand challenges of data mining;
3. Parallel and distributed data mining algorithms;
4. Mining on data streams;
5. Graph mining;
6. Spatial data mining;
7. Text, video, multimedia data mining;
8. Web mining; High performance data mining algorithms;
9. Correlation mining;
10. Benchmarking and evaluations;
11. Interactive data mining;
12. Data-mining-ready structures and pre-processing;
13. Data mining visualization;
14. Information hiding in data mining;
15. Security and privacy issues;
16. Competitive analysis of mining algorithms;
17. Internet of Things mining;
18. Personalization and recommendation systems;
19. Deep Learning with small samples of Web Data;

Data Mining Applications:
1. Big data;
2. Web of Things;
3. Grid computing;
4. DNA sequencing, genomics, and biometrics;
5. Image interpretations;
6. E-commerce and Web services;
7. Health informatics;
8. Disaster prediction;
9. Remote monitoring;
10. Financial market analysis;
11. Online filtering;
12. Application of Data Mining in Education;
13. Social network data mining;
14. Smartphone data mining;
15. Database administration, indexing, performance tuning;
16. Green computing data mining;
17. Smart Nation applications;
18. Crowdsourcing.

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