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Data Mining in der Praxis : ein Ansatz zur Nutzung der Potentiale von Data Mining im betrieblichen Umfeld

Küppers, Bertram - 1999

Persistent link: https://www.econbiz.de/10000669846

An efficient FLANN model with CRO-based gradient descent learning for classification

Naik, Bighnaraj; Nayak, Janmenjoy; Behera, Himansu Sekhar - In: International journal of business information systems : … 21 (2016) 1, pp. 73-116

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Associative classification apporaches : review and comparison

Abdelhamid, Neda; Thabtah, Fadi - In: Journal of information & knowledge management : JIKM 13 (2014) 3, pp. 1-30

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Is random forest a superior methodology for predicting poverty? : an empirical assessment

Sohnesen, Thomas Pave; Stender, Niels - 2016

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When algorithmic predictions use human-generated data : a bias-aware classification algorithm for breast cancer diagnosis

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Stock market analysis : a review and taxonomy of prediction techniques

Shah, Dev; Isah, Haruna; Zulkernine, Farhana - In: International Journal of Financial Studies : open … 7 (2019) 2/26, pp. 1-22

Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool’s game to try and predict them. Predicting stock prices is a challenging problem in itself because of the number...

Persistent link: https://www.econbiz.de/10012038738