A novel approach to process mining: Intentional process models discovery

Khodabandelou, Ghazaleh; Hug, Charlotte; Salinesi, Camille

doi:10.1109/rcis.2014.6861040

Cited by 12 publications

(3 citation statements)

References 44 publications

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“…The best KELM model (GBHHO-KELM) is then created using the determined best parameters and feature subsets to forecast students' entrepreneurial desire. Map Miner Method (MMM) is a unique process mining technique [31]. Using process logs, this technique is intended to automate the creation of deliberate process models.…”

Section: ) Forming Intention Modelmentioning

confidence: 99%

“…The taxonomy of intention is based on the questionaries' submitted to online search engine [24]. Different intention models are formulated such KELM [30], MMM [31], social commercial platforms. Many authors have worked on categories of intentions which is discussed using existing literature and validates the RQ2: What are categories of Intention mining?…”

Section: Construct Valaditymentioning

confidence: 99%

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An Intensive Spectrum for Intention Mining Analysis

Varsha D. Jadhav

2023

IJRITCC

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There is huge volume of data in the social networks. This data can be retrieved and integrated to extract useful meaning and come out with the insights which is called as intentions. This can be used in different fields like business, recommender systems, education, Scientific research, games, etc. Also, there are various intention mining techniques which can be applied to several fields as information retrieval, business, etc. There is no specific definition of intention mining and also there is very less existing literature present. Accordingly, there is need to conduct systematic literature review of the very recent research area. Understanding intention mining, purpose of intention mining, categories and techniques of intention mining is the need. The paper endorses a spectrum for intention mining so that further literature review of intention mining can be completed. We validate our work through dimensions, categories and techniques for intention mining.

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Section: ) Forming Intention Modelmentioning

confidence: 99%

Section: Construct Valaditymentioning

confidence: 99%

An Intensive Spectrum for Intention Mining Analysis

Varsha D. Jadhav

2023

IJRITCC

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“…Users fulfill their functions, enhance their performance, and save resources, especially time [34]. With the aim of formalizing the intentions of users of enterprise information systems for the execution of their daily tasks in line with their job roles and to improve their performance, Khodabandelou et al [35] propose a method to discover the strategies users employ to achieve their personal objectives, aligned with business objectives.…”

Section: Related Work Of Interaction Model Systems Based On Immersive...mentioning

confidence: 99%

Explicit Knowledge Database Interface Model System Based on Natural Language Processing Techniques and Immersive Technologies

Alfaro,

Rivera,

Herrera

et al. 2023

IJACSA

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This work is focused on the proposal and development of an interface system model, based on natural language processing, immersive technologies and natural user interfaces, for the interaction with Explicit Knowledge databases. Five phases were proposed: The user testing characterization, the establishment of the state of the art and the theoretical foundation, the design and development of software, the system implementation and the functional tests and evaluation of the usability of the interface model. In order to establish the user testing characterization and the corresponding theoretical framework, the expert guide on Knowledge Management and Virtual Reality was followed, based on the approach of Usability and Computer Ergonomics compatible with the ISO 9241 standard. The traditional interfaces and the proposal in this work were evaluated for each of the metrics defined by the ISO 9241 standard, considering the dimensions of effectiveness, efficiency and satisfaction. The statistical test of "T-Student" established that there is enough evidence to confirm the existence of the following significant differences: Effectiveness is lower using the proposed interface model; efficiency and satisfaction is higher using the proposed interface model. Based on the conducted tests, it can be established that the proposed interface model is superior to the traditional interface in terms of the "Efficiency and Satisfaction" dimensions and inferior in terms of "Effectiveness." Consequently, it can be concluded that the scientific article exploration model using VR and NLP is superior to the traditional model.

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