Data mining (redirect from Knowledge Discovery in Databases)
analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management...
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ECML PKDD (redirect from European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases)
Practice of Knowledge Discovery in Databases, is one of the leading academic conferences on machine learning and knowledge discovery, held in Europe every...
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been conducted in the area, especially regarding transforming relational databases into RDF, identity resolution, knowledge discovery and ontology learning...
53 KB (4,398 words) - 04:42, 15 April 2023
Domain driven data mining (redirect from Actionable knowledge discovery)
evaluation systems for actionable knowledge discovery. Data-driven pattern mining and knowledge discovery in databases face such challenges that the discovered...
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Frequent pattern discovery (or FP discovery, FP mining, or Frequent itemset mining) is part of knowledge discovery in databases, Massive Online Analysis...
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KDD in Wiktionary, the free dictionary. KDD may refer to: Khuzdar Airport (IATA code: KDD), Balochistan, Pakistan Knowledge discovery in databases, a form...
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Machine learning (redirect from Feature discovery)
focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases). Data mining uses...
133 KB (14,666 words) - 03:59, 24 June 2024
Association rule learning (redirect from Association discovery)
Discovery, analysis, and presentation of strong rules, in Piatetsky-Shapiro, Gregory; and Frawley, William J.; eds., Knowledge Discovery in Databases...
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list of such databases. The 2018 issue has a list of about 180 such databases and updates to previously described databases. Omics Discovery Index can be...
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ELKI (category Free software programmed in Java (programming language))
(KDD, knowledge discovery in databases) software framework developed for use in research and teaching. It was originally created by the database systems...
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Knowledge Discovery Metamodel (KDM) is a publicly available specification from the Object Management Group (OMG). KDM is a common intermediate representation...
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Learning and Knowledge Discovery in Databases - ECML PKDD 2010: Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science...
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intelligent interfaces relating to databases. In 1989, he proposed a new project at GTE called "Knowledge Discovery in Databases". The project created advanced...
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include knowledge discovery in databases (KDD), data mining, machine learning and statistics. They offer applicable and successful solutions in different...
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Practice of Knowledge Discovery in Databases (PKDD) in Warsaw, Poland, in September 2007. ACM Symposium on Applied Computing Data Streams Track held in conjunction...
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Profiling (information science) (category Articles lacking in-text citations from November 2017)
used in fraud prevention, ambient intelligence, and consumer analytics. Statistical methods of profiling include Knowledge Discovery in Databases (KDD)...
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of Subspace Clusters". In Fürnkranz, Johannes; Scheffer, Tobias; Spiliopoulou, Myra (eds.). Knowledge Discovery in Databases: PKDD 2006, 10th European...
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Text mining (section Situation in Europe)
of text mining: information extraction, data mining, and a knowledge discovery in databases (KDD) process. Text mining usually involves the process of...
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Uplift modelling (section In Python)
"Relational Differential Prediction". Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science. Vol. 7523. Bristol, UK. pp. 617–632...
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3rd AAAI Workshop on Knowledge Discovery in Databases, KDD-1994. "The 3rd Workshop on Knowledge Discovery in Databases" (PDF). AAAI KDD-1994 Workshop...
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Practice of Knowledge Discovery in Databases IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Knowledge Discovery from Data...
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Feature engineering (category Wikipedia articles in need of updating from February 2024)
Single and Multi-feature Aggregation Functions". Knowledge Discovery in Databases: PKDD 2007. Lecture Notes in Computer Science. Vol. 4702. pp. 430–437. doi:10...
21 KB (2,231 words) - 11:27, 29 May 2024
Piatetsky-Shapiro., Padhraic, Smyth. (1996). From Data Mining to Knowledge Discovery in Databases. Ai Magazine, 17(3):37-54. doi:10.1609/AIMAG.V17I3.1230 Mitchell...
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Learning-Based Reinforcement Learning". Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science. Vol. 7524. Springer. pp. 116–131...
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Neural network (machine learning) (redirect from Problems in the verge of success in neural network research)
directing manipulators and prostheses) Data mining (including knowledge discovery in databases) Finance (such as ex-ante models for specific financial long-run...
163 KB (17,346 words) - 01:23, 19 June 2024
Classification". In Kok, Joost N.; Koronacki, Jacek; Lopez de Mantaras, Ramon; Matwin, Stan; Mladenič, Dunja; Skowron, Andrzej (eds.). Knowledge Discovery in Databases:...
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Vector Machines for Big Data". Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science. Vol. 10534. pp. 307–322. arXiv:1707...
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disciplines, discovery is the observation of new phenomena, new actions, or new events and providing new reasoning to explain the knowledge gathered through...
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"Finding Hierarchies of Subspace Clusters". Knowledge Discovery in Databases: PKDD 2006. Lecture Notes in Computer Science. Vol. 4213. pp. 446–453. CiteSeerX 10...
69 KB (8,834 words) - 08:00, 22 June 2024
Examples of data mining (section Knowledge grid)
analysis of historical business activities, stored as static data in data warehouse databases. The goal is to reveal hidden patterns and trends. Data mining...
39 KB (4,817 words) - 12:52, 28 March 2024