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An Information-Based Decision Support Framework for eAgriculture
Armstrong, Leisa J; Diepeveen, Dean A - 2009
The ability of farmers to acquire knowledge to make decisions is limited by the information quality and applicability. An inconsistency in information delivery and standards for the integration of information also limits the decision making process. Knowledge Discovery in Databases (KDD)...
Persistent link: https://www.econbiz.de/10009440873
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Detecting operation regimes using unsupervised clustering with infected group labelling to improve machine diagnostics and prognostics
Saari, Juhamatti; Odelius, Johan - In: Operations Research Perspectives 5 (2018), pp. 232-244
in condition monitoring. The identification of operation profiles during production is therefore important. Clustering …-and-effect relationship between the operation regimes and the wear level of components. In this study unsupervised clustering technique was …
Persistent link: https://www.econbiz.de/10012662742
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Numerical data clustering algorithms in mining real estate listings
Pancerz, Krzysztof; Mich, Olga - In: Barometr regionalny : analizy i prognozy 12 (2014) 3, pp. 43-50
Persistent link: https://www.econbiz.de/10010511637
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Data clustering : review and investigation of parallel genetic algorithms for revealing clusters
Dehuri, Satchidananda; Mishra, Bhabani Shankar Prasad; … - In: International journal of applied management science 6 (2014) 3, pp. 212-243
Persistent link: https://www.econbiz.de/10011284563
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Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters
Chang, Jau-Shien; Chang, Wen-Hsi - In: Electronic commerce research and applications 13 (2014) 2, pp. 79-97
Persistent link: https://www.econbiz.de/10011348332
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Text data mining : a proposed framework and future perspectives
Alwidian, Sana'a A.; Bani-Salameh, Hani A.; Alslaity, … - In: International journal of business information systems : … 18 (2015) 2, pp. 127-140
Persistent link: https://www.econbiz.de/10011326618
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A survey on data mining and knowledge discovery techniques for spatial data
Shishehgar, Majid; Mirmohammadi, Seyed Nasirodin; … - In: International journal of business information systems : … 19 (2015) 2, pp. 265-276
Persistent link: https://www.econbiz.de/10011326799
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Mining categorical sequences from data using hybrid clustering method
De Angelis, Luca; Dias, José G. - In: European journal of operational research : EJOR 234 (2014) 3, pp. 720-730
Persistent link: https://www.econbiz.de/10010360427
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A research case study : difficulties and recommendations when using a textual data mining tool
Al-Hassan, Abeer A.; Alshameri, Faleh; Sibley, Edgar Henry - In: Information & management : the internat. journal of … 50 (2013) 7, pp. 540-552
Persistent link: https://www.econbiz.de/10010243569
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A model for clustering data from heterogeneous dissimilarities
Santi, Éverton; Aloise, Daniel; Blanchard, Simon J. - In: European journal of operational research : EJOR 253 (2016) 3, pp. 659-672
Persistent link: https://www.econbiz.de/10011493993