On the public citation graph
Discovery Planning: Multistrategy Learning in Data Mining
0 signed · 18 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf01006415openalex-snapshot
Mining for knowledge in databases: The INLEN architecture, initial implementation and first results
inferredcites →https://doi.org/10.1016/0004-3702(83)90016-4openalex-snapshot
A theory and methodology of inductive learning
inferredcites →https://doi.org/10.1145/191246.191322openalex-snapshot
KQML as an agent communication language
inferredcites →https://doi.org/10.13021/mars/3474openalex-snapshot
Discovering Classification Rules Using Variable-Valued Logic System VL1
inferredcites →https://doi.org/10.13021/mars/3494openalex-snapshot
Data Mining and Knowledge Discovery: A Review of Issues and a Multistrategy Approach
inferredcites →https://doi.org/10.13021/mars/3577openalex-snapshot
Mining for Knowledge in Databases: Goals and General Description of the INLEN System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-45571-x_2openalex-snapshot
Inductive Databases and Knowledge Scouts
inferred← citeshttps://doi.org/10.1007/978-3-642-03070-3_57openalex-snapshot
Assisting Data Mining through Automated Planning
inferred← citeshttps://doi.org/10.1007/978-3-642-20980-2_4openalex-snapshot
Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge
inferred← citeshttps://doi.org/10.1007/978-3-7908-1834-5_45openalex-snapshot
A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP
inferred← citeshttps://doi.org/10.1017/s0269888912000409openalex-snapshot
Using automated planning for improving data mining processes
inferred← citeshttps://doi.org/10.13021/mars/3480openalex-snapshot
Discovering Multidimensional Patterns in Large Datasets Using Knowledge Scouts
inferred← citeshttps://doi.org/10.3233/fi-2000-41404openalex-snapshot
Building Knowledge Scouts Using KGL Metalanguage
inferred← citeshttps://doi.org/10.48550/arxiv.1311.4564openalex-snapshot
Planning by case-based reasoning based on fuzzy logic
inferred← citeshttps://doi.org/10.5121/csit.2013.3306openalex-snapshot
Planning by Case-Based Reasoning Based on Fuzzy Logic
inferred← citeshttps://doi.org/10.5121/csit.2013.3823openalex-snapshot
Planning Based on Classification by Induction Graph
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.