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A theoretical framework for association mining based on the Boolean Retrieval Model
Bollmann-Sdorra, Peter; Hafez, Alaaeldin M.; Raghavan, … - In: Data warehousing and knowledge discovery : third …, (pp. 21-30). 2001
Persistent link: https://www.econbiz.de/10001694684
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Mining very large datasets with support vector machine algorithms
Poulet, François; Do, Thanh-Nghi - In: Enterprise information systems V : [papers selected …, (pp. 177-184). 2004
Persistent link: https://www.econbiz.de/10002618663
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Multi-Paradigm Process Mining : Retrieving Better Models by Combining Rules and Sequences
De Smedt, Johannes - 2014
Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis …
Persistent link: https://www.econbiz.de/10013051194
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Text Mining with RAPIDMINER
Ertek, Gurdal - 2018
The goal of this chapter is to introduce the text mining capabilities of RAPIDMINER through a use case. The use case … involves mining reviews for hotels at TripAdvisor.com, a popular web portal. We will be demonstrating basic text mining in … RAPIDMINER using the text mining extension. We will present two different RAPIDMINER processes, namely Process01 and Process02 …
Persistent link: https://www.econbiz.de/10012923466
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Mining Associations in Health Care Data Using Formal Concept Analysis and Singular Value Decomposition
Kumar, Ch. Aswani - 2011
popularity for Association Rules Mining (ARM). Application of ARM in health care datasets is challenging and a highly rewarding …
Persistent link: https://www.econbiz.de/10013127691
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The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres
Chiang, David Ming-huang; Lin, Chia-ping; Chen, Mu-Chen - In: Enterprise information systems 5 (2011) 2, pp. 219-234
Persistent link: https://www.econbiz.de/10009154784
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Frequent pattern mining-based sales forecasting
Murlidharan, Vikayalaksmi; Menezes, Bernard - In: Opsearch : journal of the Operational Research Society … 50 (2013) 4, pp. 455-474
Persistent link: https://www.econbiz.de/10010234260
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A comparative analysis of classification algorithms in data mining for accuracy, speed and robustness
Dogan, Neslihan; Tanrikulu, Zuhal - In: Information technology and management 14 (2013) 2, pp. 105-124
Persistent link: https://www.econbiz.de/10009760514
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Towards improving the representational bias of process mining
Aalst, Wil van der; Buijs, Joos; Dongen, Boudewijn van - In: Data-driven process discovery and analysis : first …, (pp. 39-54). 2012
Persistent link: https://www.econbiz.de/10009788233
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Mining the low-level behaviour of agents in high-level business processes
Ferreira, Diogo R.; Szimanski, Fernando; Ralha, Célia … - In: International journal of business process integration … 6 (2012/13) 2, pp. 146-166
Persistent link: https://www.econbiz.de/10009788545