[PDF] Top 20 A data mining approach to predict probabilities of football matches
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A data mining approach to predict probabilities of football matches
... interesting to note that this correlation does not happen with the total shots (feat_hs and ...able to create good scoring ...treat to the defending team or simply because of the lack ... See full document
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Forecasting football outcomes to invest in betting markets
... capable of predicting future match results, with some changes for enhancing the model’s predictive ...parameters of the model, that were calibrated to reflect the differences of quality ... See full document
158
Data mining based damage identification using imperialist competi- tive algorithm and artificial neural network
... made to investigate the applicability of data mining for improvement of damage identification of beam-like structures by means of the presented model (Gordan et ...2017) ... See full document
14
A Two Step Data Mining Approach for Amharic Text Classification
... and data mining research communities. The basic idea of a classification algorithm is to construct a classifier according to a given training ...can predict the class value(s) ... See full document
9
Seismic Hazard Prediction Using Seismic Bumps: A Data Mining Approach
... 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 ...difficult to predict location, intensity and ... See full document
6
Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery.
... frequency of seizures, particularly in temporal lobe epilepsy ...proportion of these patients continue suffering seizures after ...learning approach to predict the outcome of ... See full document
9
An optimization-based wrapper approach for utility-based data mining
... individuals of the population to the next generation, we would guarantee that they would still be there ...some of these n individuals managed to get a better utility through crossover or ... See full document
89
Towards a New Approach for Mining Frequent Itemsets on Data Stream
... impossible to detect itemsets when they become ...compact data structure, the closed enumeration tree (CET), to maintain a dynamically selected set of itemsets over a sliding ...rest of ... See full document
5
Influência de jogos de futebol no comportamento criminal Influence os football matches in criminal behavior
... especially football, attract crowds and involve security conditions that allow the control of violence and criminal ...behaviour of crowds and cheerleaders and on the phenomenon of ... See full document
10
Computational Neural Network for Global Stock Indexes Prediction
... computational data mining methodology was used to predict four major stock market ...years of historical data from January 2006 to December 2007 in order to ... See full document
5
Behavior analysis of convective and stratiform rain using Markovian approach over Mediterranean region from meteorological radar data
... few of them on ...measurements of precipitation only where they are installed. In Algeria, these data are measured on the scale of the day, which is not sufficient for a study on an ... See full document
26
Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows
... Windows approach: Reduces the time span of the FL approach to a specified temporal ...lead to a sMCI learn- ing example ...assigned to different classes depend- ing on the time ... See full document
15
Grid-based Support for Different Text Mining Tasks
... aim of this article was to present the idea of suitable modifications and implementation of text mining services into the distributed Grid ...Integration of the text ... See full document
23
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 ... See full document
7
Development of a text mining approach to disease network discovery
... all of the existing know- ledge about that system, as well as other similar systems that may have analogous ...quantities of published documents require a considerable effort to organize the ... See full document
254
Building Classification System to Predict Risk factors of Diabetic Retinopathy Using Text mining
... risk of developing the disease [9]. Early prediction of complexity is needed, to live a healthy life with ...parts of body. It can lead to complications like blindness (Retinopathy), ... See full document
4
A Machine Learning Approach to Predict Air Quality in California
... due to the dynamic nature, volatility, and high variability in time and space of pollutants and ...able to model, predict, and monitor air quality is becoming more and more relevant, ... 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
... one of the most important ensemble methods, since it has solid theoretical foundation, very accurate prediction, great simplicity (Schapire said it needs only just 10 lines of code), and wide and successful ... See full document
109
Pharmacometabolomic approach to predict QT prolongation in guinea pigs.
... used to recognise the biological importance of 106 selected metabolites in individualised QT ...prolongation. To obtain information about the 106 MS fragment patterns and retention times using ... See full document
13
Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques
... qualitative data, i.e. between testing data and the simulation result ...runs, to produce simulation result data Gs1, Gs2, …, ...value of simulation result data and actual ... See full document
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