Data mining (DM)
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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Pervasive data mining engine
... O Data mining engine (DME) é o mecanismo que oferece um conjunto de serviços de DM aos seus clientes. Um DME pode ser visto como uma caixa negra, onde tudo o que se realiza lá dentro é invisível (funciona ...
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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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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 applied to neurorehabilitation data
... Data mining (DM), as a powerful instrument to extract information from the data, has been widely used since mid-1990 and surged as a solution for the urgent need to manage the great amounts of ...
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Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach
... process, data mining process is an interactive and iterative process consisting of six ...methodology, data mining process consists of the following steps: ...
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DISTRIBUTED DATA MINING AND AGENT MINING INTERACTION AND INTEGRATION: A NOVEL APPROACHE
... Data mining and machine learning currently forms a mature field of artificial intelligence supported by many various approaches, algorithms and software ...in data mining and machine learning ...
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Educational Data Mining & Students’ Performance Prediction
... Baradwaj and Pal [1] conducted a research on a group of 50 students enrolled in a specific course program across a period of 4 years (2007-2010), with multiple performance indicators, including “Previous Semester Marks”, ...
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Data mining em banco de dados de eletrocardiograma
... sobre data mining, com a suite Weka; Cantídio Moura Campos Filho, na disponibilização e organização da base de dados; Anna Simene, na redação do meu trabalho; ...sobre data mining, assim como ...
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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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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 ...
5
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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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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A survey of data mining & its applications
... of data mining tasks: descriptive data mining tasks that describe the general properties of the existing data, and predictive data mining tasks that attempt to do ...
5
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 ...
6
Data Mining-driven Manufacturing Process Optimization
... execution data available for the novel process, similarity inspections of existing process- es have to be conducted to derive corresponding ...past, data mining-driven predictions can be ...
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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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Redes Neurais para Data Mining
... Implementações de redes neurais também estão disponíveis na maioria das ferramentas abrangentes de data mining, como SAS Enterprise Miner, Clementi- ne e STATISTICA Data Miner. O WEKA é um acervo de ...
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A Recent Review on XML data mining and FFP
... rule mining is a process of mining data as a set of rules from a transactional database which support the minimum support and ...for mining association rules from relational data have ...
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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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