Results 291 to 300 of about 22,484,217 (350)

Visual data mining

Statistics in Medicine, 2003
AbstractData mining strategies are usually applied to opportunistically collected data and frequently focus on the discovery of structure such as clusters, bumps, trends, periodicities, associations and correlations, quantization and granularity, and other structures for which a visual data analysis is very appropriate and quite likely to yield insight.
openaire   +2 more sources

Statistics, Data Mining, and Machine Learning in Astronomy

, 2019
Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark ...
Ž. Ivezić, A. Connolly, J. Vanderplas, Alexander Gray   +3 more
semanticscholar   +1 more source

Data Mining and Knowledge Discovery in Databases

Advances in Computer and Electrical Engineering, 2019
The term knowledge discovery in databases or KDD, for short, was coined in 1989 to refer to the broad process of finding knowledge in data, and to emphasize the “high-level” application of particular data mining (DM) methods.
A. Azevedo
semanticscholar   +1 more source

Data mining

ACM SIGMOD Record, 2002
1. What's It All About? 2. Input: Concepts, Instances, Attributes 3. Output: Knowledge Representation 4. Algorithms: The Basic Methods 5. Credibility: Evaluating What's Been Learned 6. Implementations: Real Machine Learning Schemes 7. Moving On: Engineering The Input And Output 8. Nuts And Bolts: Machine Learning Algorithms In Java 9.
Ian H. Witten, Eibe Frank
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Mobility Data Mining

2013
The trajectories of a moving object are a powerful summary for its activity related to mobility. As seen in previous chapters, such information can be queried in order to retrieve those trajectories (and the objects that own them) that respond to some given search criteria, for instance following a predefined interesting behavior. However, when massive
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Data Mining

Biomedical Instrumentation & Technology, 2009
Bernard V. Liengme, David J. Ellert
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Data Mining

2018
Environmental data mining is the nontrivial process of identifying valid, novel, and potentially useful patterns in data from environmental sciences. This chapter proposes ensemble methods in environmental data mining that combines the outputs from multiple classification models to obtain better results than the outputs that could be obtained by an ...
Birant, Derya, Pala, Ayşegül, Tüysüzoğlu, Göksu   +2 more
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Machine learning and data mining in manufacturing

Expert systems with applications, 2021
Alican Dogan, Derya Birant
semanticscholar   +1 more source

Introduction to Data Mining

Scalable Computing : Practice and Experience, 2019
Chet Langin
semanticscholar   +1 more source

The WEKA data mining software: an update

SKDD, 2009
M. Hall, E. Frank, G. Holmes, Bernhard Pfahringer, P. Reutemann, I. Witten   +5 more
semanticscholar   +1 more source