Comparative Study Of Data Mining Query Languages

01/27/2017
by   Mohamed Anis Bach Tobji, et al.
0

Since formulation of Inductive Database (IDB) problem, several Data Mining (DM) languages have been proposed, confirming that KDD process could be supported via inductive queries (IQ) answering. This paper reviews the existing DM languages. We are presenting important primitives of the DM language and classifying our languages according to primitives' satisfaction. In addition, we presented languages' syntaxes and tried to apply each one to a database sample to test a set of KDD operations. This study allows us to highlight languages capabilities and limits, which is very useful for future work and perspectives.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/26/2019

Towards Universal Languages for Tractable Ontology Mediated Query Answering

An ontology language for ontology mediated query answering (OMQA-languag...
research
06/09/2011

Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs

Inductive logic programming, or relational learning, is a powerful parad...
research
05/23/2023

LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages

Knowing the language of an input text/audio is a necessary first step fo...
research
10/21/2022

AfroLID: A Neural Language Identification Tool for African Languages

Language identification (LID) is a crucial precursor for NLP, especially...
research
05/06/2016

User Reviews and Language: How Language Influences Ratings

The number of user reviews of tourist attractions, restaurants, mobile a...
research
06/05/2023

Jambu: A historical linguistic database for South Asian languages

We introduce Jambu, a cognate database of South Asian languages which un...
research
06/28/2022

Extending Shinohara's Algorithm for Computing Descriptive (Angluin-Style) Patterns to Subsequence Patterns

The introduction of pattern languages in the seminal work [Angluin, “Fin...

Please sign up or login with your details

Forgot password? Click here to reset