SAINTETIQ: a fuzzy set-based approach to database summarization

Raschia, Guillaume; Mouaddib, Noureddine

doi:10.1016/s0165-0114(01)00197-x

Cited by 128 publications

(46 citation statements)

References 25 publications

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“…For instance, Rasmussen and Yager [12] studied the use of Gradual Functional Dependencies and proposed a query language called SummarySQL to evaluate the extracted dependencies among pieces of data. In [7], authors proposed the use of hierarchical conceptual clustering process to build the summary at different levels of abstraction obtaining a hierarchical summary to describe the database. Additionally, multidimensional databases [13] and type-2 fuzzy logic [14] have also been used within this context.…”

Section: Linguistic Summarization and Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Transcribing Debussy's Syrinx dynamics through Linguistic Description: The MUDELD algorithm

Ros

Molina-Solana

Delgado

et al. 2016

Fuzzy Sets and Systems

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Section: Linguistic Summarization and Descriptionmentioning

confidence: 99%

“…relative changes in volume) of every phrase in the piece with proper and adequate indications. To achieve this objective, our algorithm will additionally use fuzzy logic to handle the vague, imprecise and uncertain information from the music performance, increasing the robustness of the description methods [7].…”

Section: Introductionmentioning

confidence: 99%

Transcribing Debussy's Syrinx dynamics through Linguistic Description: The MUDELD algorithm

Ros

Molina-Solana

Delgado

et al. 2016

Fuzzy Sets and Systems

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“…One of interesting and promising approaches meant for these purposes is to derive linguistic summaries of a set of data (database). Here we discuss linguistic summarization of data sets in the sense of Yager [7,19] (for some extensions and other related issues, see, e.g., [8,9,[20][21][22][23][24]. In our context linguistic data summaries are derived as linguistically quantified propositions, exemplified -when the data in question concern employees -by "most of the employees are young and well paid", with which a degree of validity is associated.…”

Section: Decision Making and Decision Support Systemsmentioning

confidence: 99%

“…For some conceptually different approaches, which have been proposed in the fuzzy logic related areas, cf. [20][21][22][23][24]33]. For some other, non-fuzzy-logic based approaches, see for instance [33].…”

Section: Linguistic Data Summariesmentioning

confidence: 99%

Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries

Kacprzyk¹,

Zadrożny²

2010

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. We present how the conceptually and numerically simple concept of a fuzzy linguistic database summary can be a very powerful tool for gaining much insight into the essence of data that may be relevant for a business activity. The use of linguistic summaries provides tools for the verbalization of data analysis (mining) results which, in addition to the more commonly used visualization e.g. via a GUI, graphical user interface, can contribute to an increased human consistency and ease of use. The results (knowledge) derived are in a simple, easily comprehensible linguistic form which can be effectively and efficiently employed for supporting decision makers via the data driven decision support system paradigm. Two new relevant aspects of the analysis are also outlined which was first initiated by the authors. First, following Kacprzyk and Zadrożny [1] comments are given on an extremely relevant aspect of scalability of linguistic summarization of data, using their new concept of a conceptual scalability that is crucial for large applications. Second, following Kacprzyk and Zadrożny [2] it is further considered how linguistic data summarization is closely related to some types of solutions used in natural language generation (NLG), which can make it possible to use more and more effective and efficient tools and techniques developed in this another rapidly developing area. An application of a computer retailer is outlined.

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“…In this field, we can mainly mention the researches led around the data summarization model SaintEtiq [5,6,7,8,9,10,11].…”

Section: Different Database Summarization Techniques and Related Workmentioning

confidence: 99%

User focused database summarization approach

Triki¹,

Pollet

Ahmed³

2009

2009 International Conference on the Current Trends in Information Technology (CTIT)

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SAINTETIQ: a fuzzy set-based approach to database summarization

Cited by 128 publications

References 25 publications

Transcribing Debussy's Syrinx dynamics through Linguistic Description: The MUDELD algorithm

Transcribing Debussy's Syrinx dynamics through Linguistic Description: The MUDELD algorithm

Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries

User focused database summarization approach

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