Search results for: Text mining - Bridge of Knowledge

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Search results for: Text mining

Search results for: Text mining

  • Agile Commerce in the light of Text Mining

    The survey conducted for this study reveals that more than 84% of respondents have never encountered the term “agile commerce” and do not understand its meaning. At the same time, they are active participants of this strategy. Using digital channels as customers more often than ever before, they have already been included in the agile philosophy. Based on the above, the purpose of the study is to analyse major text sets containing...

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  • Text-mining Similarity Approximation Operators for Opinion Mining in BI tools

    Publication

    - Year 2016

    The concept of the Text-mining Similarity Approximation Operators for Opinion Mining as extensions to Natural Language Interface Database is defined. The new operators: “keywords of” dimension; subsetting operator “about C is q”; aggregation operator “by similar C” are proposed. These operators are based on the Latent Semantic Analysis and Social Network Analysis

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  • Text Mining Algorithms for Extracting Brand Knowledge; The fashion Industry Case

    Publication

    - Year 2018

    Brand knowledge is determined by customer knowledge. The opportunity to develop brands based on customer knowledge management has never been greater. Social media as a set of leading communication platforms enable peer to peer interplays between customers and brands. A large stream of such interactions is a great source of information which, when thoroughly analyzed, can become a source of innovation and lead to competitive advantage....

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  • Exploring the Usability and User Experience of Social Media Apps through a Text Mining Approach

    This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics...

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  • Nina Rizun dr

    Nina Rizun is an assistant professor at the Faculty of Management and Economics at the Gdańsk University of Technology. In October 1999 she obtained a PhD degree in technical sciences in the Faculty of Enterprise Economy and Production Organization, National Mining Academy, Dnipropetrovsk, Ukraine. PhD thesis title: Development of Complex Subsystem of the Organization and Planning of Mining and Transport Processes. In the years...

  • Anna Baj-Rogowska dr

      Anna Baj-Rogowska is employed as an assistant professor at the Department of Informatics in Management at the Faculty of Management and Economics, Gdańsk University of Technology. Her higher education is connected with the University of Gdańsk, where she graduated from a master's degree in business informatics, doctoral studies and then obtained a PhD degree in economics in management science (Department of Business Informatics...

  • Evaluation of Path Based Methods for Conceptual Representation of the Text

    Publication

    Typical text clustering methods use the bag of words (BoW) representation to describe content of documents. However, this method is known to have several limitations. Employing Wikipedia as the lexical knowledge base has shown an improvement of the text representation for data-mining purposes. Promising extensions of that trend employ hierarchical organization of Wikipedia category system. In this paper we propose three path-based...

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  • Preliminary Citation and Topic Analysis of International Conference on Agile Software Development Papers (2002-2018)

    This study utilizes citation analysis and automated topic analysis of papers published in International Conference on Agile Software Development (XP) from 2002 to 2018. We collected data from Scopus database, finding 789 XP papers. We performed topic and trend analysis with R/RStudio utilizing the text mining approach, and used MS Excel for the quantitative analysis of the data. The results show that the first five years of XP...

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  • Corporate social responsibility and project management: towards a better understanding of their relationship

    Publication

    - e-mentor - Year 2022

    The main purpose of this article is to identify the fields of convergence, if any, between two management concepts and business practices, namely Corporate Social Responsibility (CSR) and Project Management (PM). To achieve the formulated goal, a systematic literature review (SLR), including bibliometric analysis, LOESS regression analysis, and text mining, was performed. This analysis allowed us to distinguish five categories...

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  • Interdisciplinarity in Smart Sustainable City education: exploring educational offerings and competencies worldwide

    Publication

    More and more higher education institutions are offering specialized study programs for current and future managers of Smart Sustainable Cities (SSCs). In the process, they try to reconcile the interdisciplinary nature of such studies, covering at least the technical and social aspects of SSC management, with their own traditionally discipline-based organization. However, there is little guidance on how such interdisciplinarity...

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  • Identification of category associations using a multilabel classifier

    Description of the data using categories allows one to describe it on a higher abstraction level. In this way, we can operate on aggregated groups of the information, allowing one to see relationships that do not appear explicit when we analyze the individual objects separately. In this paper we present automatic identification of the associations between categories used for organization of the textual data. As experimental data...

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  • Evaluation of a company’s image on social media using the Net Sentiment Rate

    Publication

    - Year 2020

    Vast amounts of new types of data are constantly being created as a result of dynamic digitization in all areas of our lives. One of the most important and valuable categories for business is data from social networks such as Facebook. Feedback resulting from the sharing of thoughts and emotions, expressed in comments on various products and services, is becoming the key factor on which modern business is based. This feedback is...

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  • Evaluation of losses in a hydraulic motor based on the SWSB - 63 motor tests

    Publication

    In this paper are compared two models of energy losses: that suggested by Prof. Paszota,Z. in monograph "Energy losses in the hydraulic displacement motors - definitions and relations serving the evaluation of the efficiency of hydrostatic drive" [18] and that ofProf. Balawender, A. in "Energy analysis and methodology of testing of low-speed hydraulic motors" [1]. By using the data obtained from the tests of SWSB-63 hydraulic motors...

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  • ANALYZING TITLES OF ECONOMY NEWS TO UNDERSTAND IMPACT OF COVID-19 ON ECONOMICAL SITUATION

    Publication

    - Year 2020

    Covid-19 affected the whole world in a short time, causing serious panic and uncertainty in society. Because it was an unprecedented disease, the medical community has worked hard to find out how to deal with it, and it continues to do so. The rapid spread of the disease, the shortage of hospital capacity and the increase in deaths drove the whole world to a closure, so to speak. In this time period, life in the world came to a...

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  • The image of the City on social media: A comparative study using “Big Data” and “Small Data” methods in the Tri-City Region in Poland

    Publication

    “The Image of the City” by Kevin Lynch is a landmark planning theory of lasting influence; its scientific rigor and relevance in the digital age were in dispute. The rise of social media and other digital technologies offers new opportunities to study the perception of urban environments. Questions remain as to whether social media analytics can provide a reliable measure of perceived city images? If yes, what implication does...

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  • Top 10 Iran Export Partners in 2011

    Open Research Data
    open access

    Lifting of Iranian sanctions could lead to a rapid improvement in the economic situation of Iran. This will not only remove the barriers of international transactions, but also enable the investments of foreign entities on the territory of Iran, increasing the competitiveness of operators, including in the key mining sector.

  • Data Mining 2022/2023

    e-Learning Courses
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • Data Mining 2021/2022

    e-Learning Courses
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • Industrial Heritage in sacrifice zones, The potential of Bocamina I & II Thermoelectric in Coronel, Chile

    This work aims to present the recovery potential of the Chilean Sacrifice Zones, urban areas affected by high amounts of pollution caused by industrial activities. It centers in the case of “Bocamina I & II”, two Thermoelectric based in the city of Coronel, southern Chile. A settlement historically related to the mining processes. These plants operated for decades supplying the national energy...

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  • Data Mining Path

    e-Learning Courses
    • G. Gołaszewski
    • T. Zawadzka
    • A. Karpus
    • M. Wróbel
    • A. Przybyłek
    • W. Waloszek
    • A. Landowska

    Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

  • Measurements in civil engineering, transport, environmental engineering, mining and power engineering 22/23

    e-Learning Courses
    • P. Zima

    The course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...

  • Measurements in civil engineering, transport, environmental engineering, mining and power engineering 23/24

    e-Learning Courses
    • P. Zima

    The course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...

  • [ILiT, IŚGiE] Mathematical methods in engineering

    e-Learning Courses
    • R. Jankowski
    • R. Sauer
    • M. Skowronek

    {mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr inż. Roger Sauer, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic teacher: dr...

  • Process Engineering in Circular Economy

    e-Learning Courses
    • J. Mąkinia

    Kurs jest przeznaczony dla doktorantów szkoły doktorskiej w dyscyplnach: inżynieria lądowa i transport (SzD), III stopnia, stacjonarne inżynieria środowiska, górnictwo i energetyka (SzD), III stopnia, stacjonarne   The course is addressed to PhD students of the doctoral school in disciplines: civil engineering and transport environmental engineering, mining and power engineering Course type: lecture Total hours of...

  • [ILiT, IŚGiE] Process engineering in circular economy - Nowy

    e-Learning Courses
    • J. Mąkinia

    Kurs jest przeznaczony dla doktorantów szkoły doktorskiej w dyscyplnach: inżynieria lądowa i transport (SzD), III stopnia, stacjonarne inżynieria środowiska, górnictwo i energetyka (SzD), III stopnia, stacjonarne The course is addressed to PhD students of the doctoral school in disciplines: civil engineering and transport environmental engineering, mining and power engineering Course type: lecture Total hours of...

  • [ILiT, IŚGiE] Process engineering in circular economy 20/21 Summer

    e-Learning Courses
    • J. Mąkinia

    Kurs jest przeznaczony dla doktorantów szkoły doktorskiej w dyscyplnach: inżynieria lądowa i transport (SzD), III stopnia, stacjonarne inżynieria środowiska, górnictwo i energetyka (SzD), III stopnia, stacjonarne The course is addressed to PhD students of the doctoral school in disciplines: civil engineering and transport environmental engineering, mining and power engineering Course type: lecture Total hours of...

  • [ILiT, IŚGiE] Numerical Methods

    e-Learning Courses
    • P. Kłosowski

    {mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  prof. dr hab. inż. Paweł Kłosowski Liczba godzin: 30 Forma zajęć: wykład/laboratoria {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic...

  • Automatyczna budowa taksonomii usług w oparciu o ich głosy w języku naturalnym oraz przy uzyciu zewnętrznych źródeł wiedzy

    Publication

    - Year 2009

    Przedstawiono propozycję metody automatycznej budowy taksonomiiusług na podstawie ich opisów w języku naturalnym, w oparciu ometodę analizy formalnych koncepcji (FCA). Dodatkowo przedstawione rozwiązanie przewiduje możliwość skorzystania z zewnętrznych źródeł wiedzy takich jak Wikipedia, Word Net, ConceptNet lub globalnej sieci WWW w celu eliminacji problemu niepełnych danych wejściowych (ang. data sparseness).

  • Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents

    Publication
    • S. Donghui
    • L. Zhigang
    • J. Zurada
    • A. Manikas
    • J. Guan
    • P. Weichbroth

    - KNOWLEDGE AND INFORMATION SYSTEMS - Year 2024

    The construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...

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  • Discovery of Stylistic Patterns in Business Process Textual Descriptions: IT Ticket Case

    Publication

    - Year 2019

    Growing IT complexity and related problems, which are reflected in IT tickets,create a need for new qualitative approaches. The goal isto automate the extraction of main topics described in tickets in order to provide high quality support for the IT process workers and enablea smooth service delivery to the end user. Present paper proposes a method of knowledge extraction in a form of stylistic patterns in business...

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  • Method of Decision-Making Logic Discovery in the Business Process Textual Data

    Publication

    - Year 2019

    Growing amount of complexity and enterprise data creates a need for novel business process (BP) analysis methods to assess the process optimization opportunities. This paper proposes a method of BP analysis while extracting the knowledge about Decision-Making Logic (DML) in a form of taxonomy. In this taxonomy, researchers consider the routine, semi-cognitive and cognitive DML levels as functions of BP conceptual aspects of Resources,...

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  • Landscape of Automated Log Analysis: A Systematic Literature Review and Mapping Study

    Publication

    - IEEE Access - Year 2022

    Logging is a common practice in software engineering to provide insights into working systems. The main uses of log files have always been failure identification and root cause analysis. In recent years, novel applications of logging have emerged that benefit from automated analysis of log files, for example, real-time monitoring of system health, understanding users’ behavior, and extracting domain knowledge. Although nearly every...

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  • SYNAT_MUSIC_GENRE_FV_173

    Open Research Data

    This is the original dataset containing 51582 music tracks (22 music genres) and 173 element-feature vector [1-6,9]. A collection of more than 50000 music excerpts described with a set of descriptors obtained through the analysis of 30-second mp3 recordings was gathered in a database called SYNAT. The SYNAT database was realized by the Gdansk University...

  • SYNAT Music Genre Parameters PCA 19

    Open Research Data

    The dataset contains feature vector after  Principal Component Analysis (PCA) performing, so there are 11 music genres and 19-element vector derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier research studies carried out by the team of authors [1-6]. A collection of 52532 music excerpts described...

  • SYNAT_PCA_48

    Open Research Data

    There is a series of datasets containing feature vectors derived from music tracks. The dataset contains 51582 music tracks (22 music genres) and feature vector after  Principal Component Analysis (PCA) performing, so there are 48-element vectors derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier...

  • SYNAT_PCA_11

    Open Research Data

    The dataset contains 51582 music tracks (22 music genres) and feature vector after  Principal Component Analysis (PCA) performing, so there are 11-element vectors derived from music excerpts. Originally, a feature vector containing 173 elements was conceived in earlier research studies carried out by the team of authors [1-6]. A collection of more than...