domains / families / research / ieee-international-conference-on-data-mining

ieee-international-conference-on-data-mining

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Use when targeting IEEE International Conference on Data Mining (ICDM) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for data mining.

When to use

• targeting IEEE International Conference on Data Mining (ICDM)
• deciding whether a computer-science manuscript fits this venue
• conference fit, framing, evidence bar, submission-cycle checks
• rebuttal posture, and desk-reject risks for data mining
• data mining algorithms, pattern discovery, graph mining, anomaly detection, and applied analytics
• re-framing from journal style or arXiv style into a selective CS conference narrative
• evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis

When not to use

• substitute for the current year's CFP, author kit, ethics policy, or submission portal
• mathematically focused data-mining methods (route to SDM)
• database-system contributions (route to ICDE/SIGMOD/VLDB)
• broad ML method papers (route to ICML/NeurIPS/ICLR)
• applied/industrial tracks (route to KDD)

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