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The Technoarete Transactions on Intelligent Data Mining and Knowledge Discovery journal is an open access, double-blind peer-reviewed journal that is devoted to publishing pioneering and groundbreaking research findings, outcomes, and studies being carried out by talented and gifted researchers, academics, scientists, scholars and other professionals engaged in the disciplines of Data Mining.

TTIDMKD is a leading interdisciplinary journal whose sole purpose is to facilitate the dissemination of theoretical, experimental and applied research outcomes being accrued by professionals carrying out exploratory and analytical studies across all specializations of Data Mining.

No Bars On Access & Author Rights

The fact that TTIDMKD is an open-access journal means that anyone from any part of the world can gain access to entire issues at any time, by paying a visit to Not only is there no need for one to subscribe to get access, but additionally all authors also get to hold onto the copyrights of all their published work.

Paramount Importance To Research Of The Highest Quality

TTIDMKD is highly sought after all across the globe, because of the fact that all research published herein, is carefully vetted by a dedicated reviewing committee for its accuracy, authenticity, relevance, up-to-dateness, and significance. That is why readers of TTIDMKD rest assured that any and all research data, outcomes, and findings that are published here, are of the highest quality.

Facilitating Speedy Publication Of Groundbreaking Research

TTIDMKD is a Quarterly journal, meaning that four issues are published yearly. When it comes to submission, reviewing and publication timelines, it takes on average eight weeks between the submission of an article/paper and acceptance (after reviewing), and subsequently, about four weeks between acceptance and publication of the article/paper.

Aim & Scope

Technoarete Transactions on Intelligent Data Mining and Knowledge Discovery (TTIDMKD) is a double-blinded, peer-reviewed open access International Journal published by Technoarete Publishing. With the exponential growth of data in today's digital world collected through the internet there is a definite need for mining useful information and discovering knowledge using Artificial Intelligence. The journal aims to promote and coordinate research development between academic experts, database manager, backend developer, knowledge engineers and to share their research findings in the broad area of data integration, data exchange, data architecture, data mining and warehousing, intelligent knowledge acquisition, knowledge dissemination and discovery techniques.

The journal invites original research articles in the sub discipline of basics of data mining-spatial data mining, graphing parallel, and Distributed Data Mining, Algorithms and Data-Preprocessing technique, Web mining Multimedia data mining, Data visualisation techniques, Data stream mining, Information security in data mining, Advancement of data Mining in the area of bioinformatics, Financial Modelling, Classification, Clustering, Educational data mining, Social network data mining Image analysis, Biometric are also recovered under the scope of this journal. Various knowledge Discovery and knowledge processing strategy such as knowledge representational Framework knowledge Discovery Framework, Data preprocessing and post processing strategies OLAP and Data mining, Expert system, Decision support system, Statistical Techniques, Data analysis Data protection KOD framework and process Online data mining and knowledge Discovery are also covered under the scope of this journal.

Subject Area

Related Topics:

  1. Spatial data mining
  2. Graph data mining
  3. Parallel and distributed data mining algorithms
  4. Mining temporal data
  5. Web mining
  6. Data preprocessing techniques
  7. Multimedia data mining
  8. Data visualisation techniques
  9. Data streams mining
  10. Information security in data mining
  11. Data mining in bioinformatics
  12. Data mining in financial modelling
  13. Data mining in Image analysis
  14. Data mining in forecasting
  15. Classification
  16. Clustering
  17. Social network data mining
  18. Educational data mining
  19. Knowledge representation framework
  20. OLAP and data mining
  21. Expert systems
  22. Decision support systems
  23. Statistics for knowledge Discovery
  24. KDP framework and process
  25. Online data mining and knowledge Discovery
  26. Metadata management strategies
  27. Time series analysis
  28. Text Mining