[PDF] Top 20 Data Mining Classification: Alternative Techniques
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Data Mining Classification: Alternative Techniques
... R1: (Give Birth = no) ∧ (Can Fly = yes) → Birds R2: (Give Birth = no) ∧ (Live in Water = yes) → Fishes R3: (Give Birth = yes) ∧ (Blood Type = warm) → Mammals R4: (Give Birth = no) [r] ... See full document
44
Using Data Mining Techniques to Solve the Web Classification Problem in Real Scenarios
... vision techniques to correctly classify a web page using their rendered page viewed as an ...do classification, it establishes the rules to determine the blocks and several extensions have been made in ... See full document
78
TítuloExploring patterns of epigenetic information with data mining techniques
... heterogeneous data from external and internal ...fetch data from external sources, preprocess the data (including data filtering, normalization, and merging relevant properties), and format ... See full document
20
Automatic classification of oranges using image processing and data mining techniques
... automatic classification machines principally because of the need of advanced image processing, and the price of the hardware needed to satisfy the speed requirements of the production lines ... See full document
12
Adapting autonomously classification data mining algorithms for ubiquitous devices
... of data mining techniques is ...improve data mining algorithms performance and 2) make automatic learning possible for different kinds of learning problems in a flexible ...the ... See full document
146
Taxonomic evidence and robustness of the classification applying intelligent data mining.
... Families of OTUs are obtained employing as tools i) the Euclidean distance and ii) nearest neighbor techniques. Thus taxonomic evidence is gathered so as to quantify the similarity for each pair of OTUs (pair- ... See full document
12
TítuloClassification of mild cognitive impairment and Alzheimer’s Disease with machine learning techniques using 1H Magnetic Resonance Spectroscopy data
... multivariate classification (Adaszewski et ...MR techniques, such as Diffusion Tensor Imaging (DTI), have been explored in the automatic classification of MCI patients (Dyrba et ...and ... See full document
17
Mantenimiento industrial & data mining
... Las nuevas industrias altamente automatizadas, con sistemas de control y supervisión cada vez más complejos, han hecho que como producto secundario de su operación, generen y dispongan de miles de datos constantemente. ... See full document
51
TítuloImproving detection of apneic events by learning from examples and treatment of missing data
... imputation techniques include two statistical methods, mean and hot-deck, and one machine learning method, ...These techniques were compared with the listwise deletion method to show the danger of ... See full document
11
TÉCNICAS DE ANÁLISIS DE DATOS
... del data warehouse, ya que muchos de los data warehouses emplean el procesamiento paralelo para acelerar el proceso de las ...del data warehouse y de las tecnologías de Minería de Datos dónde el ... See full document
266
Detection of breast lesions in medical digital imaging using neural networks
... solving classification problems typically has N input neurons and M output ...the classification of nonlinear problems; the more hidden layers in a neural network, the simpler it will be to isolate the ... See full document
10
Data mining, septiembre 2013
... el data warehouse, que se constituye como el reposito- rio central de información ...el data warehouse. En este sentido, los data marts constituyen dichas vistas de negocio y, por lo general, vienen ... See full document
88
Data Warehouse Data Mining Tecnologías OLAP
... al Data Warehouse abarcando condiciones en las sentencias de carga ...al Data Warehouse . Por ejemplo, el Data Warehouse contiene información financiera sólo en dólares estadounidenses ...al ... See full document
78
Data mining utilizando redes neuronales
... para Data Mining porque producen modelos de aprendizaje ...clave: data mining, redes neuronales, árboles de decisión, árboles modelo, árboles ... See full document
12
TítuloUsing genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification
... The data used in this paper is well described by Andrzejak et al. (2001), and is publicly available. The complete dataset consists of five sets (denoted A–D), each containing 100 single- channels EEG signals of ... See full document
9
Data mining applied in school dropout prediction
... EDM techniques are successfully applied for creating models that predict student´s performance [6], providing promising results that demonstrate how certain sociological, economic, and educational characteristics ... See full document
9
KDD con R.TeMiS, su aplicación en el Proyecto Exhibitium
... Knowledge Discovery Databases Pattern Evaluation Data Warehouse Task-relevant Data Data Selection Data Preprocessing Data Mining Pattern Evaluation Data Cleaning Data Integration Databa[r] ... See full document
46
Mining Large Data Sets - Motivation
... © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 25 Association Rule Discovery: Application 2. O Supermarket shelf management[r] ... See full document
16
A comparative case study on Data Mining and Process Mining applied to Supply Chain Management
... de Data Mining (DM) permiten encontrar información y relaciones ocultas en los datos de la cadena de ...Process Mining (PM) permiten monitorear procesos y realizar análisis prácticos de operaciones ... See full document
97
Aplicaciones de data mining al estudio de la biodiversidad
... El equipo de trabajo está formado por el Dr. Marcelo Soria, biólogo dedicado a la investigación en bioinformática y docente en la Maestría en Explotación de Datos y Descubrimiento del Conocimiento de la Facultad de ... See full document
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