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Data mining: a reconsideration [PDF]
Journal of Economic Methodology, 2000 Data mining occurs because most economic hypotheses do not have a unique empirical interpretation but allow the econometrician much leeway in selecting conditioning variables, lags, functional forms, and sometimes the sample. The resulting problems are of interest not only to methodologists and philosophers concerned with how hypotheses are validated ...
Thomas Mayer
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, 2018 Data mining support for priority ranking of SLC family members for target selection in WP4.
Daniel T. Larose, Chantal D. Larose
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Data-mining chess databases [PDF]
, 2010 This is a report on the data-mining of two chess databases, the objective being to compare their sub-7-man content with perfect play as documented in Nalimov endgame tables. Van der Heijden’s ENDGAME STUDY DATABASE IV is a definitive collection of 76,132
Bleicher, Eiko +2 more
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2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018 In the last decade the usage and study of data mining and machine learning algorithms have received an increasing attention from several and heterogeneous fields of research. Learning how and why a certain algorithm returns a particular result, and understanding which are the main problems connected to its execution is a hot topic in the education of ...
Guidotti R., Monreale A., Rinzivillo S.
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2021 International Conference on Content-Based Multimedia Indexing (CBMI), 2021 This paper overviews two interdependent issues important for mining remote sensing data (e.g. images) obtained from atmospheric monitoring missions. The first issue relates the building new public datasets and benchmarks, which are hot priority of the remote sensing community.
Djeraba, Chaabane, Riedi, Jerome
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Re-mining item associations: methodology and a case study in apparel retailing [PDF]
, 2010 Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items.
Atan, Tankut +4 more
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Data mining in radiology [PDF]
Indian Journal of Radiology and Imaging, 2014 AbstractData mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized
Amit Kharat +3 more
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Ontology of core data mining entities [PDF]
, 2014 In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
A Bernstein +43 more
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A case study of predicting banking customers behaviour by using data mining [PDF]
, 2019 Data Mining (DM) is a technique that examines information stored in large database or data warehouse and find the patterns or trends in the data that are not yet known or suspected.
Abdar, Moloud +5 more
core +2 more sources