On the public citation graph

Parallel induction algorithms for data mining

0 signed · 19 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/88.473600openalex-snapshot
Parallelism speeds data mining

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781118029145.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/cpe.3063openalex-snapshot
Decision tree building on multi‐core using FastFlow
inferred← citeshttps://doi.org/10.1007/3-540-45329-6_4openalex-snapshot
Parallel Implementation of Decision Tree Learning Algorithms
inferred← citeshttps://doi.org/10.1007/3-540-45591-4_50openalex-snapshot
Parallelisation of C4.5 as a Particular Divide and Conquer Computation
inferred← citeshttps://doi.org/10.1007/978-3-319-46227-1_6openalex-snapshot
Efficient Distributed Decision Trees for Robust Regression
inferred← citeshttps://doi.org/10.1007/978-3-540-24612-1_24openalex-snapshot
Knowledge Discovery in Databases and Agent-Mediated Knowledge Management
inferred← citeshttps://doi.org/10.1007/978-3-642-41398-8_20openalex-snapshot
Diversity-Driven Widening
inferred← citeshttps://doi.org/10.1007/bfb0052824openalex-snapshot
Advances in Intelligent Data Analysis Reasoning about Data
inferred← citeshttps://doi.org/10.1007/s10618-021-00749-5openalex-snapshot
Widening: using parallel resources to improve model quality
inferred← citeshttps://doi.org/10.1016/s0167-739x(03)00073-6openalex-snapshot
Experimental studies using photonic data services at IGrid 2002
inferred← citeshttps://doi.org/10.1016/s0167-8191(02)00095-9openalex-snapshot
High-performance data mining with skeleton-based structured parallel programming
inferred← citeshttps://doi.org/10.1016/s0167-8655(02)00269-6openalex-snapshot
Distributed learning with bagging-like performance
inferred← citeshttps://doi.org/10.1023/a:1012813326519openalex-snapshot
Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique
inferred← citeshttps://doi.org/10.1109/csnt.2015.112openalex-snapshot
Performance Evaluation of Entorpy and Gini Using Threaded and Non-threaded ID3 on Anaemia Dataset
inferred← citeshttps://doi.org/10.1142/9789812779861_0001openalex-snapshot
Enterprise Data Mining: A Review and Research Directions
inferred← citeshttps://doi.org/10.1145/1963405.1963461openalex-snapshot
Parallel boosted regression trees for web search ranking
inferred← citeshttps://doi.org/10.1145/3274005.3274036openalex-snapshot
Neighborhood-based Strategies for Widening of the Greedy Algorithm of the Set Cover Problem
inferred← citeshttps://doi.org/10.7936/k70863fbopenalex-snapshot
Approximation and Relaxation Approaches for Parallel and Distributed Machine Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.