A Jaccard Similarity-Based Model to Match Stakeholders for Collaboration in an Industry-Driven Portal

Kabasakal, İnanç; Soyuer, Haluk

doi:10.3390/proceedings2021074015

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…Overall, the horizontal partitioning schemes version (DiCFS-hp) proved to be the preferable option due to its better scalability and natural partitioning mode, allowing the Spark framework to better use cluster resources. For classification problems, the benefits of distribution over the non-distribution version are comparable to, if not superior, and the benefits are already proven for the regression domain [10].…”

Section: Feature Selection Analysis For Big Datamentioning

confidence: 99%

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A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection

et al. 2022

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Feature selection is employed to reduce feature dimensions and computational complexity by eliminating irrelevant and redundant features. A vast amount of increasing data and its processing generate many feature sets, that are reduced by the feature selection process to improve the performance in all sorts of classification, regression, clustering models. This research performs a detailed analysis of motivation and concentrates on the fundamental architecture of feature selection. The study aims to establish a structured formation related to popular methods such as filter, wrapper, embedded into search strategies, evaluation criteria, and learning methods. Different methods organize a comparison of benefits and drawbacks followed by multiple classification algorithms and standard validation measures. The diversity of applications in multiple domains such as data retrieval, prediction analysis, and medical, intrusion, and industrial applications are efficiently highlighted. The study focused on some additional feature selection methods for handling big data. Nonetheless, new challenges have surfaced in the analysis of such data, which are also addressed in this study. Reflecting on commonly encountered challenges and clarifying how to obtain the absolute feature selection method are the significant components of this study.

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Section: Feature Selection Analysis For Big Datamentioning

confidence: 99%

“…To obtain validation, the efficiency of these before-and-after feature selection trials is compared. Cross-validation [7], [8], the Confusion matrix [9], the Jaccard similaritybased measure [10], the Rand Index [11], and other validation methods are widely used.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection

et al. 2022

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“…This type Int J Elec & Comp Eng ISSN: 2088-8708  of information enables structured search on unstructured data. Kabasakal and Soyuer [18] provide research that satisfies a demand in a university-industry partnership web portal project (EGEVASYON) by matching a list of projects with a relevant subset of keywords through the Jaccard similarity measure. Each similar subset of keywords has various use-cases in accordance with the web portal's requirements.…”

Section: Introductionmentioning

confidence: 99%

A web content mining application for detecting relevant pages using Jaccard similarity

Jalal

Jasim

Mahawish

2022

IJECE

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<span lang="EN-US">The tremendous growth in the availability of enormous text data from a variety of sources creates a slew of concerns and obstacles to discovering meaningful information. This advancement of technology in the digital realm has resulted in the dispersion of texts over millions of web sites. Unstructured texts are densely packed with textual information. The discovery of valuable and intriguing relationships in unstructured texts demands more computer processing. So, text mining has developed into an attractive area of study for obtaining organized and useful data. One of the purposes of this research is to discuss text pre-processing of automobile marketing domains in order to create a structured database. Regular expressions were used to extract data from unstructured vehicle advertisements, resulting in a well-organized database. We manually develop unique rule-based ways of extracting structured data from unstructured web pages. As a result of the information retrieved from these advertisements, a systematic search for certain noteworthy qualities is performed. There are numerous approaches for query recommendation, and it is vital to understand which one should be employed. Additionally, this research attempts to determine the optimal value similarity for query suggestions based on user-supplied parameters by comparing MySQL pattern matching and Jaccard similarity.</span>

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A Novel Similarity Measure for Context-Based Search Engine

Mudgil

Gupta

Mathur

et al. 2022

International Conference on Innovative Computing and Communications

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A Jaccard Similarity-Based Model to Match Stakeholders for Collaboration in an Industry-Driven Portal

Cited by 4 publications

References 23 publications

A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection

A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection

A web content mining application for detecting relevant pages using Jaccard similarity

A Novel Similarity Measure for Context-Based Search Engine

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