Conference Information

SCDM 2014: International Conference on Soft Computing and Data Mining

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Submission Date:
2013-02-01 Extended
Notification Date:
2014-02-15
Conference Date:
2014-06-16
Location:
Kuala Lumpur, Malaysia
Years:
1
Viewed: 18436   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

35.8 / 100
Ranked #5,612 of 5,683 conferences · Top 99%

#337 of 337 in Data Mining & Databases #728 of 740 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
19
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 1 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-21

Call For Papers

SCDM 2014 (International Conference on Soft Computing and Data Mining) is an academic conference held in Kuala Lumpur, Malaysia on 2014-06-16. The paper submission deadline is 2013-02-01 (extended). Acceptance notifications are sent on 2014-02-15.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to: Soft Computing Ant and bee colonies Fuzzy set theory Genetic algorithms Grey set theory Immunological computing Intelligent systems Neural networks Particle swarm optimization Rough set theory Soft set theory Data Mining Association rules Classification Clustering Data cleaning Data integration Dimensionality reduction Feature selection Information system and retrieval Outlier analysis Visual data mining Enterprise and Business Data Management Knowledge Acquisition & Management Knowledge-based and Expert Systems
Last updated by Dou Sun on

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