Results 11 to 20 of about 25,216,828 (261)
Data mining for the analysis of content interaction in web-based learning and training systems [PDF]
, 2006 Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites.
Pahl, Claus
core +3 more sources
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 ...
Dzeroski, S, Soldatova, L, Panov, P
core +1 more source
Weka: A machine learning workbench for data mining [PDF]
, 2005 The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data preprocessing tools. The basic way of interacting with these methods is by invoking them from the command line.
Pfahringer, Bernhard +5 more
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Data Mining Techniques in Cancer Research Area [PDF]
, 2014 In this paper we present an analysis of the prediction of survivability on different attributes, rate ofbreast cancer patients using data mining techniques. The data used is the real data.
Sant, Anjali; BITS, Bhopa +1 more
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Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks
Journal of Intelligent Systems, 2020 The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping +4 more
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Heritage Science, 2022 Cultural heritage is closely linked with individual historical figures, who become a key focus for cultural tourism. Confucianism laid the foundation for much of Chinese civilization, and Confucius and Mencius have been studied extensively and have been ...
Zhanling Fan +2 more
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Applied Sciences, 2023 Passenger flow prediction is a critical approach to ensure the effective functioning of urban rail transit. However, there are few studies that combine multiple influencing factors for short-term passenger flow prediction.
Jun Yang +5 more
doaj +1 more source
Context-aware adaptive data stream mining [PDF]
, 2009 In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation,
Zaslavsky, Arkady +9 more
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IEEE Access, 2020 A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation ...
Trong-The Nguyen +5 more
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Survey: Data Mining Techniques in Medical Data Field [PDF]
, 2014 Now days most of the research area are working on data mining techniques in medical data. Knowledge discovery and data mining have found numerous applications in business and scientific domain.
Shrivastava, Shiv Shakti; Mewar University, Chittorgarh, Rajasthan. India +1 more
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