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  • Search: subject_exact:"Data Mining"
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Year of publication
Subject
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Data Mining 2,477 Data mining 2,400 USA 586 United States 585 data mining 554 Theorie 316 Theory 307 Big Data 303 Big data 263 Prognoseverfahren 214 Forecasting model 211 Betriebliches Informationssystem 188 Business intelligence system 176 Beziehungsmarketing 173 Relationship marketing 173 Management information system 154 Management-Informationssystem 154 Mining 143 Wissensmanagement 142 Bergbau 141 Knowledge management 132 Social Web 124 Social web 124 Informationsmanagement 118 Information management 107 Prozessmanagement 99 Business process management 93 Consumer behaviour 89 Konsumentenverhalten 89 Text 87 Classification 83 Data Warehouse 80 Neural networks 79 Cluster analysis 78 Data warehouse 78 Clusteranalyse 77 Deutschland 76 Internet 75 Neuronale Netze 73 Germany 72
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Online availability
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Undetermined 1,072 Free 615
Type of publication
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Article 2,242 Book / Working Paper 933 Other 14 Journal 3
Type of publication (narrower categories)
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Article in journal 1,348 Aufsatz in Zeitschrift 1,348 Aufsatz im Buch 412 Book section 412 Graue Literatur 177 Non-commercial literature 177 Working Paper 165 Arbeitspapier 141 Hochschulschrift 103 Collection of articles of several authors 96 Sammelwerk 96 Thesis 95 Case study 51 Fallstudie 51 Aufsatzsammlung 43 Konferenzschrift 34 Article 27 Conference paper 24 Konferenzbeitrag 24 Conference proceedings 16 Lehrbuch 16 Dissertation u.a. Prüfungsschriften 13 Conference Paper 12 Ratgeber 10 Guidebook 9 Congress Report 7 Collection of articles written by one author 6 Handbook 6 Handbuch 6 Sammlung 6 Bibliografie enthalten 4 Bibliographie 4 Bibliography included 4 Forschungsbericht 4 Amtsdruckschrift 3 Einführung 3 Government document 3 Reprint 3 Research Report 3 Bibliografie 2
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Language
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English 2,405 Undetermined 398 German 372 Spanish 7 French 4 Lithuanian 4 Polish 4 Romanian 3 Bulgarian 1 Russian 1 Slovak 1 Turkish 1
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Author
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Baesens, Bart 18 Kusiak, Andrew 16 Hippner, Hajo 15 Bhatnagar, Vishal 14 Shi, Yong 14 Lämmel, Uwe 13 Ranjan, Jayanthi 13 Thabtah, Fadi 13 Chamoni, Peter 12 Lessmann, Stefan 12 Martens, David 12 Van den Poel, Dirk 12 Christmann, Andreas 10 Hansen, Peter Reinhard 10 Hilbert, Andreas 10 Li, Gang 10 Wilde, Klaus D. 10 Barclay, Corlane 9 Davenport, Thomas H. 9 Krolzig, Hans-Martin 9 Kudyba, Stephan 9 Lunde, Asger 9 Osei-Bryson, Kweku-Muata 9 Piazza, Franca 9 Vu, Huy Quan 9 Bensberg, Frank 8 Breitner, Michael H. 8 Cleve, Jürgen 8 Daniels, Hennie 8 Delen, Dursun 8 Gupta, Rangan 8 Ohsawa, Yukio 8 POEL, D. VAN DEN 8 Wiedmann, Klaus-Peter 8 Aalst, Wil van der 7 Amine, Abdelmalek 7 Berry, Michael J. A. 7 Decker, Reinhold 7 Giudici, Paolo 7 Kou, Gang 7
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Institution
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IGI Global 29 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 11 Faculteit Economie en Bedrijfskunde, Universiteit Gent 8 Springer Fachmedien Wiesbaden 8 Information Resources Management Association 6 ToKnowPress 5 Department of Economics, Oxford University 4 Erasmus University Rotterdam, Econometric Institute 4 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 4 Hochschule <Wismar> / Fakultät für Wirtschaftswissenschaften 4 Society for Computational Economics - SCE 4 AHFE <7., 2016, Orlando, Fla.> 3 Department of Economics, Faculty of Economic and Management Sciences 3 Facultatea de Cibernetica, Statistica şi Informatica Economica, Academia de Studii Economice din Bucureşti 3 Facultatea de Finante şi Banci, Universitatea Spiru Haret 3 Hochschule <Wismar> / Fachbereich Wirtschaft 3 Kaunas University of Technology 3 BIS <16, 2013, Posen> 2 Brown University / Department of Economics 2 Center for Economic Research <Tilburg> 2 DaWaK <3, 2001, München> 2 Deggendorfer Forum zur digitalen Datenanalyse 2 Dipartimento di Management, Università Ca' Foscari Venezia 2 EMC 2 Economics Group, Nuffield College, University of Oxford 2 Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam 2 European Association of Agricultural Economists - EAAE 2 Fachbereich Rechts- und Wirtschaftswissenschaften, Technische Universität Darmstadt 2 Faculteit Toegepaste Economische Wetenschappen, Universiteit Antwerpen 2 Gottfried Wilhelm Leibniz Universität Hannover 2 Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 2 International Institute of Social and Economic Sciences 2 Istituto di Ricerca sulla Crescita Economica Sostenibile (IRCrES), Consiglio Nazionale delle Ricerche 2 Karlsruher Ökonometrie-Workshop <7, 1999, Karlsruhe> 2 Konferenz der SAS-Anwender in Forschung und Entwicklung <7, 2003, Potsdam> 2 National Bureau of Economic Research 2 OECD 2 RWTH Aachen 2 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 2 Springer-Verlag GmbH 2
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Published in...
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European journal of operational research : EJOR 50 International journal of production research 44 Technological forecasting & social change : an international journal 37 Journal of information & knowledge management : JIKM 35 International journal of business information systems : IJBIS 34 Knowledge and information systems : an international journal 29 International Journal of Information Technology & Decision Making (IJITDM) 28 HMD : Praxis der Wirtschaftsinformatik 26 European Journal of Operational Research 25 Decision support systems : DSS ; the international journal 23 Information systems and e-business management : ISeB 22 Journal of business research : JBR 21 Tourism management : research, policies, practice 20 Information technology and management 18 Organizational data mining : leveraging enterprise data resources for optimal performance 18 International Journal of Data Analysis Techniques and Strategies 16 Journal of Information & Knowledge Management (JIKM) 16 Premier reference source 16 Data mining for design and marketing 15 International journal of forecasting 15 Computers & operations research : and their applications to problems of world concern ; an international journal 13 INFORMS journal on computing : JOC 13 Informatica Economica 13 International journal of electronic customer relationship management : IJECRM 13 Journal of retailing and consumer services 13 Working paper / National Bureau of Economic Research, Inc. 13 Harvard business review : HBR 12 Interfaces : the INFORMS journal on the practice of operations research 11 International journal of accounting information systems 11 Knowledge discovery process and methods to enhance organizational performance 11 MPRA Paper 11 Annals of operations research 10 Decision Analytics 10 Industrial marketing management : the international journal for industrial and high-tech firms 10 International journal of networking and virtual organisations : IJNVO 10 International journal of production economics 10 Journal of management information systems : JMIS 10 Journal of organizational computing and electronic commerce 10 SpringerLink / Bücher 10 Advances in business information systems and analytics (ABISA) book series 9
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Source
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ECONIS (ZBW) 2,427 RePEc 423 USB Cologne (EcoSocSci) 112 Other ZBW resources 91 EconStor 68 BASE 57 USB Cologne (business full texts) 14
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Showing 1 - 50 of 3,192
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Improving customer value index and consumption forecasts using a weighted RFM model and machine learning algorithms
Wu, Zongxiao; Zang, Cong; Wu, Chia-Huei; Deng, Zilin; … - In: Journal of global information management 30 (2022) 3, pp. 1-23
Persistent link: https://ebtypo.dmz1.zbw/10012799261
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Profiling and segmenting clients with the use of machine learning algorithms
Rymarczyk, Paweł; Gołąbek, Piotr; Skrzypek-Ahmed, Sylwia - In: European research studies 24 (2021) 2, pp. 513-522
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Ensemble neural network using a small dataset for the prediction of bankruptcy : combining numerical and textual data
Rasolomanana, Onjaniaina Mianin'Harizo - 2021
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Trade sentiment and the stock market : new evidence based on big data textual analysis of Chinese media
Amstad, Marlene; Gambacorta, Leonardo; He, Chao; Xia, … - 2021
Persistent link: https://ebtypo.dmz1.zbw/10012483485
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Methods of analyzing consumer behavior based on multi-source data
Rymarczyk, Paweł; Bednarczuk, Piotr; Nowak, Ryszard; … - In: European research studies 24 (2021) 2, pp. 335-345
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Modeling residential energy consumption : an application of IT-based solutions and big data analytics for sustainability
Gholami, Roya; Nishant, Rohit; Emrouznejad, Ali - In: Journal of global information management 29 (2021) 2, pp. 166-193
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Can we measure inflation expectations using Twitter?
Angelico, Cristina; Marcucci, Juri; Miccoli, Marcello; … - 2021
Persistent link: https://ebtypo.dmz1.zbw/10012612964
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DAViS : a unified solution for data collection, analyzation, and visualization in real-time stock market prediction
Suppawong Tuarob; Poom Wettayakorn; Ponpat Phetchai; … - In: Financial innovation : FIN 7 (2021), pp. 1-32
The explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous...
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Big data in finance
Goldstein, Itay; Spatt, Chester S.; Ye, Mao - In: The review of financial studies 34 (2021) 7, pp. 3213-3225
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Corporate social responsibility in international business literature : results from text data mining of the Journal of International Business Studies
Paul, Karen; Parra, Carlos M. - In: International journal of corporate social … 6 (2021) 1, pp. 1-14
Corporate social responsibility has been an important theme in management at least since the 1960s. International business became a recognized subfield in management around the same time. Logically, there might have been much dialogue about corporate social responsibility in international...
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Option return predictability with machine learning and big data
Bali, Turan G.; Beckmeyer, Heiner; Moerke, Mathis; … - 2021 - This version: August 20, 2021
Drawing upon more than 12 million observations over the period from 1996 to 2020, we find that allowing for nonlinearities significantly increases the out-of-sample performance of option and stock characteristics in predicting future option returns. Besides statistical significance, the...
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Household electricity load forecasting toward demand response program using data mining techniques in a traditional power grid
Abu Baker, Maher - In: International Journal of Energy Economics and Policy : IJEEP 11 (2021) 4, pp. 132-148
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Innovation and trade patterns in the Latin American mining sector
2021
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Bayesian solutions for the factor zoo : we just ran two quadrillion models
Bryzgalova, Svetlana; Huang, Jiantao; Julliard, Christian - 2020
Persistent link: https://ebtypo.dmz1.zbw/10012214084
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Data mining applications in SMEs : an Italian perspective
Topalović, Amir; Azzini, Antonia - In: Business systems research : a system view accross … 11 (2020) 3, pp. 127-146
Background From the last decade, data mining techniques, employed in particular in customer relationship management, have assumed a key role in the profitability and operations of companies. To support small and medium companies (SMEs), several innovative and continuously improving tools have...
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Assessment of the accounting regulations in the Republic of Serbia : application of cluster analysis
Milutinović, Sunčica; Grljević, Olivera; … - In: Ekonomske teme 58 (2020) 4, pp. 545-571
The focus of the paper is on identification of hidden patterns in the opinion of accounting professionals, in order to identify the deficiencies in the legal accounting regulations and to examine their perspective on international and legal accounting regulations. The data collected through the...
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A review of algorithms for credit risk analysis
Salihu, Armend; Shehu, Visar - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 6 (2020) 1, pp. 134-146
The interest collected by the main borrowers is collected to pay back the principal borrowed from the depositary bank. In financial risk management, credit risk assessment is becoming a significant sector. For the credit risk assessment of client data sets, many credit risk analysis methods are...
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Bayesian solutions for the factor zoo : we just ran two quadrillion models
Bryzgalova, Svetlana; Huang, Jiantao; Julliard, Christian - 2020
Persistent link: https://ebtypo.dmz1.zbw/10012205745
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Chronic disease progression prediction : leveraging case-based reasoning and big data analytics
Nenova, Zlatana; Shang, Jennifer - In: Production and operations management : the flagship … 31 (2022) 1, pp. 259-280
Persistent link: https://ebtypo.dmz1.zbw/10013163851
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Forecasting own brand sales : does incorporating competition help?
Li, Wei; Fok, Dennis; Franses, Philip Hans - 2019
Persistent link: https://ebtypo.dmz1.zbw/10012149723
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Predicting micro-enterprise failures using data mining techniques
Ptak-Chmielewska, Aneta - In: Journal of risk and financial management : JRFM 12 (2019) 1/30, pp. 1-17
Research analysis of small enterprises are still rare, due to lack of individual level data. Small enterprise failures are connected not only with their financial situation abut also with non-financial factors. In recent research we tend to apply more and more complex models. However, it is not...
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Credit risk management and business intelligence approach of the banking sector in Jordan
Alzeaideen, Khaled Abdulwahab - In: Cogent business & management 6 (2019), pp. 1-9
Banking segment is one of the ultimate key segments that support the sustainable economic progress in Jordan. Hence, banks in Jordan are considered as tremendously significant financial establishments that pursue profit by providing various financial services to various customers through dealing...
Persistent link: https://ebtypo.dmz1.zbw/10012621606
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Too Big to Cheat : Mining Pools' Incentives to Double Spend in Blockchain Based Cryptocurrencies
Savolainen, Ville - 2020
In most blockchain based cryptocurrencies majority of verification power is required for facilitating a successful double spending attack, i.e. using the same funds multiple times. Because possibility to double spend sharply deteriorates trust and value, concentration is traditionally considered...
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Will You Be Mine? Marriage as a Protective Factor During the Pandemic
Jace, Clara - 2020
Using weekly variation from April 23 to June 23, we exploit the surge in unemployment over the corona-virus pandemic to identify the effects on mental health outcomes and the role of marital status as a protective factor for households. We find that married respondents are 1-2 percentage points...
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The value of descriptive analytics : evidence from online retailers
Berman, Ron; Israeli, Ayelet - 2020
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Public perception of autonomous mobility using ml-based sentiment analysis over social media data
Bakalos, Nikolaos; Papadakis, Nikolaos; Litke, Antonios - In: Logistics 4 (2020) 2, pp. 1-14
The purpose of this article is to present a framework for capturing and analyzing social media posts using a sentiment analysis tool to determine the views of the general public towards autonomous mobility. The paper presents the systems used and the results of this analysis, which was performed...
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Technology and big data are changing economics : mining text to track methods
Currie, Janet M.; Kleven, Henrik Jacobsen; Zwiers, Esmée S. - 2020
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Data-driven operations management : combining machine learning and optimization for improved decision-making
Meller, Jan Maximilian - 2020
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A dynamic factor model approach to incorporate big data in state space models for official statistics
Schiavoni, Caterina; Palm, Franz C.; Smeekes, Stephan; … - 2020
Persistent link: https://ebtypo.dmz1.zbw/10012174830
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The structure of economic news
Bybee, Leland; Kelly, Bryan T.; Manela, Asaf; Xiu, Dacheng - 2020
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Modeling heterogeneity in firm-level return predictability with machine learning
Evgeniou, Theodoros; Guecioueur, Ahmed; Prieto, Rodolfo - 2020
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Praktische Umsetzung von Business Analytics im Mediensektor: Predictive Analytics im Filmgeschäft
Bähren, Tobias; Maasjosthusmann, Robin; Walter, Annika; … - 2020
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Análisis de sentimiento basado en el informe de percepciones de negocios del Banco Central de Chile
Pilar Cruz, María del; Peralta, Hugo; Ávila, Bruno - 2020
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A systematic classification of database solutions for data mining to support tasks in supply chains
Hunker, Joachim; Scheidler, Anne Antonia; Rabe, Markus - In: Data science and innovation in supply chain management …, (pp. 395-425). 2020
Purpose: Our research shows that considering well suited NoSQL databases is beneficial for logistics tasks. For answering tasks we rely on the widespread methods of Data Mining. We stress that using relational databases as basis for Data Mining tools cannot cope with the growing amount of data...
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Persistent link: https://ebtypo.dmz1.zbw/10012388130
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Process mining contributions to discrete-event simulation modelling
Jadrić, Mario; Ninčević Pašalić, Ivana; … - In: Business systems research : a system view accross … 11 (2020) 2, pp. 51-72
Background: Over the last 20 years, process mining has become a vibrant research area due to the advances in data management technologies and techniques and the advent of new process mining tools. Recently, the links between process mining and simulation modelling have become an area of...
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Big data management of smart sustainable cities: networked digital technologies and automated algorithmic decision-making processes
Nica, Elvira; Konecny, Vladimir; Poliak, Milos; … - In: Management research and practice : MRP 12 (2020) 2, pp. 48-57
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Predictive analytics on emotional data mined from digital social networks with a focus on financial markets
Nann, Stefan - 2020
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¿Qué tan rígidos son los precios en línea? : evidencia para Perú usando big data
Coronado, Hilary; Lahura, Erick; Vega, Marco - 2020
Persistent link: https://ebtypo.dmz1.zbw/10012420266
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Inventory management and logistics optimization: a data mining practical approach
Granillo-Macías, Rafael - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 16 (2020) 4, pp. 535-547
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Market anomalies in the Korean stock market
Han, Minyeon; Lee, Dong-Hyun; Kang, Hyoung Goo - In: Journal of derivatives and quantitative studies 28 (2020) 2, pp. 3-50
This paper aims to replicate 148 anomalies and to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, the authors observe that only 37.8% anomalies in the universe of the KOSPI and the KOSDAQ and value-weighted portfolios have...
Persistent link: https://ebtypo.dmz1.zbw/10012592598
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Process of building a dataset and classification of vark learning styles with machine learning and predictive analytics models
Krishnamoorthy, D.; Lokesh, Duvvuru - In: Journal of Contemporary Issues in Business and Government 26 (2020) 2, pp. 903-910
Persistent link: https://ebtypo.dmz1.zbw/10012543158
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The CoRisk-Index : a data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time
Stephany, Fabian; Stoehr, Niklas; Darius, Philipp; … - In: Covid economics : vetted and real-time papers (2020) 41, pp. 129-146
Persistent link: https://ebtypo.dmz1.zbw/10012311565
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Using Clustering Ensemble to Identify Banking Business Models
Marques, Bernardo P. - 2020
The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some...
Persistent link: https://ebtypo.dmz1.zbw/10012834971
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Experimental Mines : Research Platforms for Sustainable Development
Mousaid, Ilyass - 2020
The relationship between R&D endeavor and enterprise performance is well established in the literature. Innovation Management studies show that medium / long term profitability is positively correlated with R&D expenditures in the process industries and particularly in the mining sector. In this...
Persistent link: https://ebtypo.dmz1.zbw/10012835144
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Data Science, Predictive Analytics, and Big Data in Supply Chain Management : Current State and Future Potential
Schoenherr, Tobias - 2020
While data science, predictive analytics and big data have been frequently-used buzzwords, rigorous academic investigations into these areas are just emerging. In this forward thinking article we discuss the results of a recent large-scale survey on these topics among supply chain management...
Persistent link: https://ebtypo.dmz1.zbw/10012841440
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Economic Prediction with the FOMC Minutes : An Application of Text Mining
Huang, YuLieh - 2020
We conduct a sentiment analysis of the FOMC (Federal Open Market Committee) minutes based on the text mining results and examine the predictive ability of the resulting sentiment indicators. An adaptive Bayesian approach is employed to build the sentiment indicator for each of the Fed's...
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Survey on Mining Attacks on Blockchain
Swapna, D - 2020
The blockchain technology came to light in 2008 as a decentralised peer to peer network structure, with the ability to ensure security for transactions made on bitcoin cryptocurrency, without the need of any central server to validate transactions. Although it started with the advent of...
Persistent link: https://ebtypo.dmz1.zbw/10012823490
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Exclusive Mining of Blockchain Transactions
Strehle, Elias - 2020
After creating a new blockchain transaction, the next step usually is to make miners aware of it by having it propagated through the blockchain's peer-to-peer network. We study an unintended alternative to peer-to-peer propagation: Exclusive mining. Exclusive mining is a type of collusion...
Persistent link: https://ebtypo.dmz1.zbw/10012823933
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Understanding Customers' Evaluations Through Mining Airline Reviews
Yakut, Ibrahim - 2020
Data mining can be evaluated as a strategic tool to determine the customer profiles in order to learn customer expectations and requirements. Airline customers have different characteristics and if passenger reviews about their trip experiences are correctly analyzed, companies can increase...
Persistent link: https://ebtypo.dmz1.zbw/10012824003
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Enhancing Online Repurchase Intention via Application of Big Data Analytics in E-Commerce
Dastane, Omkar - 2020
Based on the empirical research, this chapter investigated the impact of big data-based techniques typically used in big-data driven E-commerce such as information search, recommendation system, dynamic pricing, and personalisation on the online repurchase intention in Malaysia. This study also...
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