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Year of publication
Subject
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Theorie 131 Theory 131 Artificial intelligence 87 Künstliche Intelligenz 87 Mathematical programming 59 Mathematische Optimierung 59 Multi-criteria analysis 59 Multikriterielle Entscheidungsanalyse 59 Forecasting model 54 Prognoseverfahren 54 Fuzzy sets 53 Fuzzy-Set-Theorie 52 Machine learning 52 Algorithm 47 Algorithmus 47 Neural networks 46 Neuronale Netze 46 Decision 38 Entscheidung 38 Data mining 32 Lieferkette 31 Supply chain 31 Classification 29 Data Mining 28 Management information system 23 Management-Informationssystem 23 Klassifikation 22 Deep learning 21 Learning process 21 Lernprozess 21 Optimization 20 Coronavirus 19 Data envelopment analysis 19 Data-Envelopment-Analyse 19 AHP approach 17 AHP-Verfahren 17 Gesundheitsversorgung 17 Health care 17 Heuristics 17 Heuristik 17
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Online availability
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Free 450 CC license 403 Undetermined 2
Type of publication
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Article 450 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 426 Aufsatz in Zeitschrift 426 Article 24
Language
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English 452
Author
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Chakraborty, Shankar 7 Chakraborty, Subrata 5 Chen, Toly 5 Ong, Pauline 5 Wang, Yu-Cheng 5 Abualigah, Laith Mohammad Qasim 4 Afsharian, Mohsen 4 Almeida, João Flávio de Freitas 4 Delen, Dursun 4 Deveci, Muhammet 4 Kumar, Satish 4 Rahman, Rashedur M. 4 Acharya, Ashish 3 Adekoya, Adebayo Felix 3 Azizi, Mahdi 3 Bari, A. B. M. Mainul 3 Chee Kiong Sia 3 Conceição, Samuel Vieira 3 Costa, Marcelo Azevedo 3 Dellnitz, Andreas 3 Dinçer, Hasan 3 Dwivedi, Ashish 3 Eti, Serkan 3 Karmaker, Chitra Lekha 3 Keshta, Ismail 3 Kesswani, Nishtha 3 Lahmiri, Salim 3 Mahata, Animesh 3 Mahato, Sanat Kumar 3 Maity, Samir 3 Mirjalili, Seyedali 3 Mishra, Bhupesh Kumar 3 Mukherjee, Supriya 3 Nagarajan, D. 3 Oliveira, Maiquiel Schmidt de 3 Pamucar, Dragan 3 Raza, Ali 3 Roy, Banamali 3 Spruit, Marco 3 Spruit, Marco René 3
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Published in...
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Decision analytics journal 404 Decision Analytics 46 Foundations and trends in technology, information and operations management 2
Source
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ECONIS (ZBW) 428 EconStor 24
Showing 431 - 440 of 452
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A novel cost-sensitive framework for customer churn predictive modeling
Bahnsen, Alejandro; Aouada, Djamila; Ottersten, Björn - In: Decision Analytics 2 (2015), pp. 1-15
Customer churn predictive modeling deals with predicting the probability of a customer defecting using historical, behavioral and socio-economical information. This tool is of great benefit to subscription based companies allowing them to maximize the results of retention campaigns. The problem...
Persistent link: https://www.econbiz.de/10011376906
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Process modeling and decision mining in a collaborative distance learning environment
Premchaiswadi, Wichian; Porouhan, Parham - In: Decision Analytics 2 (2015), pp. 1-34
This paper is divided into four main parts. In the first part of the study, we identified the most significant factors that affect the performance of groups in collaborative learning situations. The results showed that the extent of communication, interactions and involvement/participation...
Persistent link: https://www.econbiz.de/10011376919
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A structured scientific solution to the Israeli-Palestinian conflict : the analytic hierarchy process approach
Saaty, Thomas L.; Vargas, Luis G.; Zoffer, H. J. - In: Decision Analytics 2 (2015), pp. 1-53
While the Israeli-Palestinian conflict has raged for decades, in all of its ramifications there has never been a totally structured or scientific approach to the conflict with all of its details. The Analytic Hierarchy Process (AHP) approaches the problem along these lines. There are a plethora...
Persistent link: https://www.econbiz.de/10011376990
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Localized twitter opinion mining using sentiment analysis
Hridoy, Syed Anwar; Ekram, M. Tahmid; Bhuiyan, Mohammad … - In: Decision Analytics 2 (2015), pp. 1-19
Analysis of public information from social media could yield interesting results and insights into the world of public opinions about almost any product, service or personality. Social network data is one of the most effective and accurate indicators of public sentiment. In this paper we have...
Persistent link: https://www.econbiz.de/10011377017
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A structured scientific solution to the Israeli-Palestinian conflict: The analytic hierarchy process approach
Saaty, Thomas; Vargas, Luis; Zoffer, H. J. - In: Decision Analytics 2 (2015) 1, pp. 1-53
While the Israeli-Palestinian conflict has raged for decades, in all of its ramifications there has never been a totally structured or scientific approach to the conflict with all of its details. The Analytic Hierarchy Process (AHP) approaches the problem along these lines. There are a plethora...
Persistent link: https://www.econbiz.de/10011656499
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A goal-oriented, business intelligence-supported decision-making methodology
Pourshahid, Alireza; Johari, Iman; Richards, Gregory; … - In: Decision Analytics 1 (2014) 1, pp. 1-36
In many enterprises and other types of organizations, decision making is both a crucial and a challenging task. Despite their importance, many decisions are still made based on experience and intuition rather than on evidence supported by rigorous approaches. Decisions are often made this way...
Persistent link: https://www.econbiz.de/10011656491
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Determining the revenue contribution of logistics customer service improvements: A multi criteria decision making approach
Wessely, Philip; Hofmann, Erik - In: Decision Analytics 1 (2014) 1, pp. 1-21
In operations and service management generating revenues is as important as reducing costs. Although logistics customer service is an important measure for executives, little research has been conducted to quantify the extent to which improvements of service levels contribute to a company's...
Persistent link: https://www.econbiz.de/10011656504
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Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature
Jayabharathy, Jayaraj; Kanmani, Selvadurai - In: Decision Analytics 1 (2014) 1, pp. 1-21
Increase in the number of documents in the corpuses like News groups, government organizations, internet and digital libraries, have led to greater complexity in categorizing and retrieving them. Incorporating semantic features will improve the accuracy of retrieving documents through the method...
Persistent link: https://www.econbiz.de/10011656505
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Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques
Maaß, Dennis; Spruit, Marco; de Waal, Peter - In: Decision Analytics 1 (2014) 1, pp. 1-17
Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...
Persistent link: https://www.econbiz.de/10011656506
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Ontological specification of quality of chronic disease data in EHRs to support decision analytics: A realist review
Rahimi, Alireza; Liaw, Siaw-teng; Ray, Pradeep; … - In: Decision Analytics 1 (2014) 1, pp. 1-31
This systematic review examined the current state of conceptualization and specification of data quality and the role of ontology based approaches to develop data quality based on "fitness for purpose" within the health context. A literature review was conducted of all English language studies,...
Persistent link: https://www.econbiz.de/10011656507
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