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Intelligent Assistance for the Data Mining Process : an Ontology-Based Approach
Bernstein, Abraham - 2009
A data mining (DM) process involves multiple stages. A simple, but typical, process might includepreprocessing data, applying a data-mining algorithm, and postprocessing the mining results. Thereare many possible choices for each stage, and only some combinations are valid. Because of thelarge...
Persistent link: https://www.econbiz.de/10012766078
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Intelligent Assistance for the Data Mining Process : an Ontology-Based Approach
Bernstein, Abraham - 2009
A data mining (DM) process involves multiple stages. A simple, but typical, process might includepreprocessing data, applying a data-mining algorithm, and postprocessing the mining results. Thereare many possible choices for each stage, and only some combinations are valid. Because of thelarge...
Persistent link: https://www.econbiz.de/10012766080
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Content-based model of web search behavior : an application to TV show search
Liu, Jia; Toubia, Olivier; Hill, Shawndra - In: Management science : journal of the Institute for … 67 (2021) 10, pp. 6378-6398
Persistent link: https://www.econbiz.de/10012666157
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Expert stock picker : the wisdom of (experts in) crowds
Hill, Shawndra; Ready-Campbell, Noah - In: International journal of electronic commerce : IJEC 15 (2010/11) 3, pp. 73-101
Persistent link: https://www.econbiz.de/10009126594
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Explaining data-driven document classifications
Martens, David; Provost, Foster - In: Management information systems : mis quarterly 38 (2014) 1, pp. 73-99
Persistent link: https://www.econbiz.de/10010258274
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Classification over bipartite graphs through projection
Stankova, Marija; Martens, David; Provost, Foster - 2015
Persistent link: https://www.econbiz.de/10010486241
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Active feature-value acquisition
Saar-Tsechansky, Maytal; Melville, Prem; Provost, Foster - In: Management science : journal of the Institute for … 55 (2009) 4, pp. 664-684
Persistent link: https://www.econbiz.de/10003859238
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A benchmarking study of classification techniques for behavioral data
De Cnudde, Sofie; Martens, David; Evgeniou, Theodoros; … - 2017
Persistent link: https://www.econbiz.de/10011729988
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An exploratory study towards applying and demystifying deep learning classification on behavioral big data
De Cnudde, Sofie; Martens, David; Provost, Foster - 2018
Persistent link: https://www.econbiz.de/10011811989
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Mining massive finde-grained behacior data to improve predictice analytics
Martens, David; Provost, Foster; Clark, Jessica; … - In: Management information systems : mis quarterly 40 (2016) 4, pp. 869-888
Persistent link: https://www.econbiz.de/10011612497