Data Analysis Support by Combining Data Mining and Text Mining

Matsumoto, Tomoya; Sunayama, Wataru; Hatanaka, Yuji; Ogohara, Kazunori

doi:10.1109/iiai-aai.2017.165

Cited by 19 publications

(10 citation statements)

References 3 publications

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“…The study proposed an approach weighted sliding window model (WSW-Model) that includes the time factor to feature the spatiotemporal co-location pattern mining. The research also proposed an algorithm STCP-Miner that focuses on mining spatiotemporal co-location patterns [38]. Another study provided an approach that discovers the spatiotemporal ways in trajectory data [39].…”

Section: Machine Learning Approachesmentioning

confidence: 99%

Identification and Visualization of Spatial and Temporal Trends in Textile Industry

Yousaf¹,

Asif²,

Ahmed³

et al. 2023

Computers, Materials &Amp; Continua

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The research volume increases at the study rate, causing massive text corpora. Due to these enormous text corpora, we are drowning in data and starving for information. Therefore, recent research employed different text mining approaches to extract information from this text corpus. These proposed approaches extract meaningful and precise phrases that effectively describe the text's information. These extracted phrases are commonly termed keyphrases. Further, these key phrases are employed to determine the different fields of study trends. Moreover, these key phrases can also be used to determine the spatiotemporal trends in the various research fields. In this research, the progress of a research field can be better revealed through spatiotemporal bibliographic trend analysis. Therefore, an effective spatiotemporal trend extraction mechanism is required to disclose textile research trends of particular regions during a specific period. This study collected a diversified dataset of textile research from 2011-2019 and different countries to determine the research trend. This data was collected from various open access journals. Further, this research determined the spatiotemporal trends using quality phrase mining. This research also focused on finding the research collaboration of different countries in a particular research subject. The research collaborations of other countries' researchers show the impact on import and export of those countries. The visualization approach is also incorporated to understand the results better.

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Section: Machine Learning Approachesmentioning

confidence: 99%

Identification and Visualization of Spatial and Temporal Trends in Textile Industry

Yousaf¹,

Asif²,

Ahmed³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…The researchers usually compare two or more common method in text mining, whether it is about clustering or classification [7], [8]. Another research area for text mining is to implement the text mining to a specific dataset with the focus on that dataset like a research work done by Alhawarat et al [9] on Arabic language dataset and conducted research by Matsumoto et al [10] on combining numerical and text dataset. Moreover, there are also studies in comparing two or more distance calculation techniques in determining the similarities when doing clustering or classification [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Text mining approaches for analyzing an Indonesian tafseer and translation of the holy Quran

Ayu

Irawan

Mantoro

2022

IJEECS

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<span lang="EN-US">The Indonesian tafseer and translation of Holy Quran is an important source of information and knowledge for Indonesian muslims, since not many Indonesian muslims understand Arabic language in the Quran. However, the tafseer is full of the commentaries and explanation of each surah (chapter) and/or ayah (verse), which form a large document and not so easy to be accessed. Thus, the challenge is how to refer to both tafseer and translation in faster and accurate ways as one needs to always refer to them back and forth. Hence, this study proposes several text mining approaches, i.e. most frequent words, K-means clustering, and association rules, to analyze an Indonesian tafseer and translation of Quran and provide insights of hidden knowledge and relationships based on statistical information derived from it. These insights could be useful for muslims in general and for people that doing research in related areas. This study shows interesting results from combined analysis of the approaches used which can help people accessing information in tafseer more efficiently. As well, interesting relationships have been drawn from terms in the tafseer which could provide further and deeper knowledge on messages in the Quran.</span>

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“…On the other hand, text retrieval techniques, such as keyword retrieval and opinion retrieval, could be used for questionnaire analysis or text review, as they could help to investigate consumer opinion in the text data. However, data extraction tools and text extraction tools could not be used in a single environment [ 11 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Teleworking—An Economic and Social Impact during COVID-19 Pandemic: A Data Mining Analysis

Belostecinic

Mogoş

Popescu

et al. 2021

IJERPH

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The health crisis generated by the COVID-19 pandemic has induced, among other things, an increase in the importance of remote work or teleworking (TL) in the current period. The objective of this research is to identify the economic and social impact of telework in changing the behavior of employees in Romania. The research was conducted approximately one year after the onset of the pandemic until the beginning of the vaccination period in Romania. The research proposed includes three main directions of analysis of the extracted data, which are related to telework efficiency, this being considered one of the most important indicators for a company. In order to obtain conclusive results, we used a mixed methodology, combining results obtained through a survey based on a self-administered electronic questionnaire, with a data mining analysis. Detailed analysis of the groups identified based on work efficiency allowed us to highlight the most common employee profiles. This analysis was doubled by a second classification experiment, which provided us a more detailed analysis of the groups identified based on job satisfaction and highlighted the most common employee profiles. The expansion of telework in various economic areas is a result of adaptation to the new economic and social conditions caused by the COVID-19 pandemic.

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Data Analysis Support by Combining Data Mining and Text Mining

Cited by 19 publications

References 3 publications

Identification and Visualization of Spatial and Temporal Trends in Textile Industry

Identification and Visualization of Spatial and Temporal Trends in Textile Industry

Text mining approaches for analyzing an Indonesian tafseer and translation of the holy Quran

Teleworking—An Economic and Social Impact during COVID-19 Pandemic: A Data Mining Analysis

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