A Survey of the State of the Art in Data Mining and Integration Query Languages

@article{Pllana2011ASO,
  title={A Survey of the State of the Art in Data Mining and Integration Query Languages},
  author={Sabri Pllana and Ivan Janciak and Peter Brezany and Alexander W{\"o}hrer},
  journal={2011 14th International Conference on Network-Based Information Systems},
  year={2011},
  pages={341-348}
}
  • S. Pllana, I. Janciak, A. Wöhrer
  • Published 7 September 2011
  • Computer Science
  • 2011 14th International Conference on Network-Based Information Systems
The major aim of this survey is to identify the strengths and weaknesses of a representative set of Data-Mining and Integration (DMI) query languages. We describe a set of properties of DMI-related languages that we use for a systematic evaluation of these languages. In addition, we introduce a scoring system that we use to quantify our opinion on how well a DMI-related language supports a property. The languages surveyed in this paper include: DMQL, Mine SQL, MSQL, M2MQL, dmFSQL, OLEDB for DM… 
View on IEEE
arxiv.org
6 Citations
Background Citations
3
Methods Citations
1

Figures and Tables from this paper

6 Citations

Citation Type

Citation Type

Modeling and optimizing large-scale data flows
The Climb to Success: A Big Data Analysis to Find Out Why Huawei Has Conquered the Market
TLDR
In addition to traditional factors (such as price, value for money and so on), it is surprising that many consumers choose Huawei based on additional elements, such as design, quality, and brand loyalty.
Analysis of Big Data Technologies for Policy Building in the Philippines
TLDR
The general applications of big data and the how the Philippines adapt the technology are analyzed and its impact to the society, economy and the industry is examined.
Integrasi Data Mining pada Aplikasi Sistem Informasi(Studi Kasus : Teknik Support Vector Regression pada WEKA ke Sistem Informasi Rumah Sakit)
TLDR
Penelitian dilakukan untuk mengetahui tahapan-tahapan operasional yang diperlukan untuk pemasangan ini sampai dengan perbaikan unjuk kerja aplikasi, yang digunakan dan mekanisme penerapannya.
Identification of disruptive exponential technologies of Industry 4.0
TLDR
The paper identifies individual disruptive exponential technologies with their examples of use in specific areas and the issue of inconsistency in definition of artificial intelligence (AI) is discussed in more detail.
Child’s Target Height Prediction Evolution
This work has been partially supported by Fundacao para a Ciencia e Tecnologia Project UID/EEA/50008/2019 and Instituto de Telecomunicacoes.

References

SHOWING 1-10 OF 35 REFERENCES
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
TLDR
A comparison between three query languages (MSQL, DMQL and MINE RULE) that have been proposed for descriptive rule mining and discussed their common features and differences are provided.
dmFSQL: a Language for Data Mining
TLDR
This paper extends FSQL into a new language called dmFSQL (data mining fuzzy structured query language) which can be used to solve real problems of clustering and classification.
Data Mining Query Languages
TLDR
This chapter surveys different proposals of query languages made to support the more or less declarative specification of both data and pattern manipulations in the prolific field of association rule mining.
DMQL: A Data Mining Query Language for Relational Databases
The emerging data mining tools and systems lead naturally to the demand of a powerful data mining query language, on top of which many interactive and exible graphical user interfaces can be…
MSQL: A Query Language for Database Mining
TLDR
This paper presents the design and compilation of MSQL, the rule query language developed as part of the Discovery Board system, and its application in data mining.
dmFSQL: a Server for Data Mining
TLDR
This paper presents an architecture that presents to use this language dmFSQL for Oraclecopy database, and uses the proposed system to solve a real problem of direct marketing management.
On Interactive Pattern Mining from Relational Databases
TLDR
ConQueSt, a constraint based querying system devised with the aim of supporting the intrinsically exploratory nature of pattern discovery, provides users with an expressive constraint based query language which allows the discovery process to be effectively driven toward potentially interesting patterns.
Building data mining solutions with OLE DB for DM and XML for analysis
TLDR
An overview of OLE DB for Data Mining and XML for Analysis is given and how to build data mining application using these APIs is shown.
A survey of data mining and knowledge discovery software tools
TLDR
An overview of common knowledge discovery tasks and approaches to solve these tasks is provided, and a feature classification scheme that can be used to study knowledge and data mining software is proposed.
Data mining within DBMS functionality
TLDR
This paper presents the results of developing the research prototype for DBMS-integrated data mining, and focuses on two main contributions: query language for data mining and constraints-driven algorithm for association rules discovery.
...
1
2
3
4
...