Data mining (computing)
A survey of data mining & its applications
... of data mining has evolved from its roots in databases, statistics, artificial intelligence, information theory and algorithms in to a core set of techniques that have been applied to a range of ...and ...
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Studying Data Mining and Data Warehousing with Different E-Learning System
... Shakir Khan was born on 5th Feb, 1978 at Kallanheri in Saharanpur district UP, India. He is working as a Researcher in College of Electronic Learning in King Saud University, Kingdom of Saudi Arabia. He received his ...
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DISTRIBUTED DATA MINING AND AGENT MINING INTERACTION AND INTEGRATION: A NOVEL APPROACHE
... Autonomous agent and multi-agent systems (AAMAS, refer to here as agents) [44] and knowledge discovery from data (KDD, or otherwise known as data mining)[10] have emerged and developed separately in ...
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Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach
... In this study, ELM method is used in the modeling stage of the data mining. ELM which is proposed by Huang et al., is a learning algorithm developed for a feedforward neural network with one hidden layer ...
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Data mining em banco de dados de eletrocardiograma
... A base de dados estabelecida após o pré-processamento resultou em 24.012 exames de eletrocardiogramas (base 1). Essa base foi composta, em sua maioria, por informações de exames de eletrocardiograma com diagnóstico ...
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Educational Data Mining & Students’ Performance Prediction
... multiple data mining tasks were used to create qualitative predictive models which were efficiently and effectively able to predict the students’ grades from a collected training ...academic data ...
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Data Mining Espacial: um Estudo de Caso
... de Data Mining (DM), ou à adaptação de algoritmos já existentes, por forma a estes incluírem a semântica associada à localização dos factos, no processo de descoberta de ...
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Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques
... Dynamics of geospatial objects is presented in the form of spatiotemporal trend of geographic data, which requires modeling of spatiotemporal dynamics. The model is visualized in two dimensional grid, which is ...
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Redes Neurais para Data Mining
... Na prática, como as redes neurais são implemen- tadas? Após um analista/desenvolvedor ter conduzido testes sufi cientes para certifi car que uma rede neural pode fazer um bom trabalho para a aplicação, a rede precisa ser ...
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Review of Domain Driven Data Mining
... Human involvement is embodied through the collaboration among humans (including users and business analysts, essentially domain experts) and data mining systems. This is accomplished through the ...
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Data Mining-driven Manufacturing Process Optimization
... of data mining to identify hidden patterns in manufacturing-related ...novel data mining approaches provided by the Advanced Manufacturing Analytics ...suitable data mining ...
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Data Mining for Gender Differences in Tinnitus
... Abstract—We perform data mining on the publicly available Tinnitus Archive. A number of statistically significant associations with gender were found using the Chi-squared test. These were age, onset ...
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A Study on Selective Data Mining Algorithms
... Data mining, a branch of computer science and artificial intelligence is the process of extracting patterns from ...data. Data mining is seen as an increasingly important tool by modern ...
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INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE
... • Market Basket Analysis – This effective data mining modeling technique is used to determine items that are frequently sold together. Using association rules, a nationwide grocery store identified hidden ...
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Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review
... Data Mining (DM) methods are being increasingly used in prediction with time series data, in addition to traditional statistical ...series data, focusing on short- time stocks ...series ...
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DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT
... Considerăm că firmele de pe piaţa românească, mai ales cele autohtone, trebuie să se adapteze rapid tendinţei globale de focalizare a strategiilor de afaceri pe managementul rela ţiilor cu clienţii, bazat pe utilizarea ...
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Data mining applied to neurorehabilitation data
... dados - e depois estruturados. A partir de funções criadas em SQL - a principal linguagem de consultas e organização de bases de dados relacionais - foram obtidas as pontuações correspondentes aos testes realizados pelos ...
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Data Mining e Data Quality em dados da saúde
... of Data Mining and Data ...of Data Mining models through the Crisp-DM methodology was also ...the data provided for study as well as designed and thought the entire process of ...
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Key word Forecasting, Data mining, HDI, Life
... using data mining ...SMOReg data mining algorithm was used in the models with multivariate time series to make predictions; this algorithm performed the best in the tests developed during the ...
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A Survey of Classification Techniques in Data Mining
... Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data ...Consequently, data mining ...
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