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ACM Transactions on Knowledge Discovery from Data

eISSN: 1556-472XpISSN: 1556-4681

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Key Metrics

CiteScore
6
Impact Factor
< 5
SJR
Q1Computer Science (all)
SNIP
2.01

Journal Specifications

Overview
  • Publisher
    ASSOC COMPUTING MACHINERY
  • Language
    English
  • Frequency
    Quarterly
General Details
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Topics Covered

Feature selection
Community structure
Network embedding
Knowledge graph
Anomaly detection
Langevin dynamics
Sequence
Household income
Reconstruction error
Label propagation
Social media
Transformative learning
Mental health
Evolutionary computation
Approximation algorithm
Dictionary learning
Topic model
Similarity measure
Tensor decomposition
Synthetic data

Recently Published Papers

Year-wise Publication

FAQs

Since when has ACM Transactions on Knowledge Discovery from Data been publishing? Faqs

The ACM Transactions on Knowledge Discovery from Data has been publishing since 2007 till date.

How frequently is the ACM Transactions on Knowledge Discovery from Data published? Faqs

ACM Transactions on Knowledge Discovery from Data is published Quarterly.

Who is the publisher of ACM Transactions on Knowledge Discovery from Data? Faqs

The publisher of ACM Transactions on Knowledge Discovery from Data is ASSOC COMPUTING MACHINERY.

How can I view the journal metrics of ACM Transactions on Knowledge Discovery from Data on editage? Faqs

For the ACM Transactions on Knowledge Discovery from Data metrics, please refer to the section above on the page.

What is the eISSN and pISSN number of ACM Transactions on Knowledge Discovery from Data? Faqs

The eISSN number is 1556-472X and pISSN number is 1556-4681 for ACM Transactions on Knowledge Discovery from Data.

What is the focus of this journal? Faqs

The journal covers a wide range of topics inlcuding Feature selection, Community structure, Network embedding, Knowledge graph, Anomaly detection, Langevin dynamics, Sequence, Household income, Reconstruction error, Label propagation, Social media, Transformative learning, Mental health, Evolutionary computation, Approximation algorithm, Dictionary learning, Topic model, Similarity measure, Tensor decomposition, Synthetic data.

Why is it important to find the right journal for my research? Faqs

Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.

Can the choice of journal affect my academic career? Faqs

Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.

Is it advisable to target high-impact journals only? Faqs

While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.