[PDF] Top 20 Data mining applied to neurorehabilitation data
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Data mining applied to neurorehabilitation data
... needs to be surgical, but there are also cases where the treatment serves to help the person restore their daily ...life. Neurorehabilitation is a medical process which helps the recovery from a ... See full document
81
Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques
... applying data mining techniques. Three data mining techniques were applied, namely finding sequential patterns in the data, clustering analysis of the pattern, and classification ... See full document
9
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 ... See full document
5
Big data analytics applied to sensor data of engineering structures: automatic detection of outliers
... sensor data. Due to Big Data chalenges it is necessary to develop automated outlier detection mechanisms to this costly and error prone ...Big Data Analytics, Data ... See full document
120
Data Mining: A Preprocessing Engine
... were applied to each normalization method. A new matrix was designed to check for the best normalization method based on the factors and their ... See full document
5
Review Study of Mining Big Data
... improve applied programs of Big Data which developed dataaggregation and capacity of programming tools are applied regularly to taking, monitoring and investigating "middle of expired ... See full document
3
Data mining to evaluate mortality after amputation surgery
... - Data processing graduate from Universidade Federal do Paraná (UFPR); MSc in Applied Computer Science from Pontifícia Universidade Católica do Paraná (PUCPR); PhD in Applied Computer Science from ... See full document
9
SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES
... technique to pre- process the large amount of time series medical ...series data are series of values of some feature of an event that are recorded over a period of ...clinical data are inconsistent ... See full document
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PROPEC-Programa de Pós Graduação em Engenharia Cívil :: APPROACHES FOR AUTOMATED DAMAGE DETECTION IN STRUCTURAL HEALTH MONITORING
... comes to novelty (or damage) detection, these methods are inevitably based on human ...lead to high computational costs and can still be insensitive to minor changes in structural behavior, thus ... See full document
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Orientador: Ricardo Luís Rosa Jardim Gonçalves Professor Auxiliar, Departamento de Engenharia Electrotécnica Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa Co-orientador: João Filipe dos Santos Sarraipa, Investigador, UNINOVA
... order to operate such as what is considered significant error and significant rate-of-change-of-error, but exact values of these numbers are usually not critical unless very responsive performance is required in ... See full document
109
Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review
... series data is popular and many applica- tions can be found in the literature, for instance, for earthquake forecasting [12], characterization of ozone behavior [13], or flood prediction ...AURA, to produce ... See full document
5
Studying Data Mining and Data Warehousing with Different E-Learning System
... Abstract----Data Mining and Data Warehousing are two most significant techniques for pattern detection and concentrated data management in present ...of data mining. The foremost ... See full document
4
A data mining approach to predict probabilities of football matches
... help to solve this ...prediction to be better than any of the individual predictions ...used to solve several problems. Due to its ability to work with image data, the majority ... See full document
109
Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach
... Earthquake occurs as a result of unexpectedly emerged energy in the earth's crust. Due to this energy, seismic waves occur and these waves create a shock effect on earth. There are many factors that affect the ... See full document
6
Data mining em banco de dados de eletrocardiograma
... de data mining (mineração de dados) para encontrar padrões que colaborem , no futuro, para a aquisição de conhecimento na análise de ...de data mining, investiguem-se dados à procura de ... See full document
123
Data Mining Espacial: um Estudo de Caso
... A tabela Indivíduo integra o Cadastro Geral do SIAPE, armazenando parte dos dados pessoais utilizados na caracterização dos indivíduos. Ao nível das datas de nascimento, refere-se que a BD inclui indivíduos nascidos ... See full document
19
DISTRIBUTED DATA MINING AND AGENT MINING INTERACTION AND INTEGRATION: A NOVEL APPROACHE
... expected to learn from other agents, their environment, and from the interaction and ...expected to learn from users and interaction with humans. To foster such learning capability, agents need ... See full document
11
Educational Data Mining & Students’ Performance Prediction
... algorithm to finally construct a decision tree, and if-then rules which will eventually help the instructors as well as the students to better understand and predict students’ performance at the end of the ... See full document
9
Review of Domain Driven Data Mining
... Driven Data Mining. In the first paper [1], Domain Driven Data Mining is proposed as a methodology and a collection of techniques targeting domain driven actionable knowledge delivery ... See full document
5
Data Mining-driven Manufacturing Process Optimization
... has to pre-define relevant characteristics to ...execution data available for the novel process, similarity inspections of existing process- es have to be conducted to derive ... See full document
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