Data mining
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 for Gender Differences in Tinnitus
... patient data will come available in future, to enable this type of analysis to be conducted for a range of demographic variables other than ...by data mining, so that people can be advised to avoid ...
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Educational Data Mining & Students’ Performance Prediction
... significant data mining research using the Naïve Bayes classification method, on a group of BCA students (Bachelor of Computer Applications) in ...a data source of predictive variables; (b) ...
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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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A survey of data mining & its applications
... applied data mining technique, which employs a set of pre- classified examples to develop a model that can classify the population of records at ...The data classification process, involves learning ...
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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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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 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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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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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
... 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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Studying Data Mining and Data Warehousing with Different E-Learning System
... For example, in companies, e-Learning is used to deliver training courses to employees and in universities, e- Learning is used for enrolment of students in different courses, provides teaching without any face-to-face ...
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INFERÊNCIA DAS PROPRIEDADES DE ALGODÃO ATRAVÉS DE TÉCNICAS DE DATA MINING
... Após a exploração dos dados procedeu-se à análise dos dados com técnicas de Data Mining. A primeira técnica de Data Mining utilizada foi a indução de árvores de decisão. O algoritmo utilizado ...
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Data mining in HIV-AIDS surveillance system
... “data mining” refers to a collection of techniques that provide the necessary actions to retrieve and gather knowledge from an exhaustive assem- blage of data and facts ...experimental data, ...
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Dimensionality Reduction for Optimal Clustering In Data Mining
... Clustering has received a significant amount of attention in the last few years as one of the fundamental problems in data mining. k -means and Leaders’ are most popular clustering algorithms. Recent ...
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Uso do data mining no estabelecimento de relacionamentos entre medidas de desempenho.
... O segundo aspecto é a agregação, em que a entidade a ser minerada se relaciona com diversas entidades do banco de dados. Um algoritmo de data mining agrega todas as entidades que se relacionam com a ...
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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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Use of Data Mining Techniques to Detect Medical Fraud in Health Insurance
... relevant data as secrets. However, the applications of data mining are not influenced ...the mining and summarization of rules cannot be implemented ...research. Data gained by ...
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INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE
... Data Mining is a broad term often used to describe the process of using database technology, modeling techniques, statistical analysis, and machine learning to analyze large amounts of data in an ...
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Data Mining-driven Manufacturing Process Optimization
... Taking the above use cases as a starting point, we talked to manufacturing companies about existing data sources in manufacturing and novel analytics. Regarding IbMO the metric-oriented RCA was rated as most ...
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