Search academic resources

A general inductive approach for analysis of qualitative evaluation data is described. The purposes for using an inductive approach are to (a) condense raw textual data into a brief, summary format; (b) establish clear l...

Abstract A common concern when faced with multivariate data with missing values is whether the missing data are missing completely at random (MCAR); that is, whether missingness depends on the variables in the data set. ...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...

Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such "exemplars" can be found by randomly choosing an initial subset of data ...

In this paper we report exploratory analyses of high-density oligonucleotide array data from the Affymetrix GeneChip system with the objective of improving upon currently used measures of gene expression. Our analyses ma...

The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexible and open design that facilitates submiss...

When making sampling distribution inferences about the parameter of the data, θ, it is appropriate to ignore the process that causes missing data if the missing data are ‘missing at random’ and the observed data are...

Data visualization is an essential component of genomic data analysis. However, the size and diversity of the data sets produced by today's sequencing and array-based profiling methods present major challenges to visuali...

With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, Internet, and finance, it becomes critical to advance the fundamental understanding ...

This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. Practical missi...

Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, ...

In the past decade, the field of medical image analysis has grown exponentially, with an increased number of pattern recognition tools and an increase in data set sizes. These advances have facilitated the development of...

Preface.PART I: OVERVIEW AND BASIC APPROACHES.Introduction.Missing Data in Experiments.Complete-Case and Available-Case Analysis, Including Weighting Methods.Single Imputation Methods.Estimation of Imputation Uncertainty...

BACKGROUND: the analysis of microbial communities through dna sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, vis...

En la actualidad muchos centros de información se encuentran en la carrera de "tener presencia en la web ", pero estas acciones, en su mayoría no son resultado previo del "usuario objetivo" a quién dirigir la oferta w...

This paper presents the integration of two technology tendencies: telemedicine and web mining with the aim of propose a model of real-time diagnosis, along with added services for consultation and monitoring to assist m...

La meta fundamental de este proyecto es el desarrollo de conocimiento especializado en el área de Inteligencia Artificial Distribuida, estudiando técnicas de representación del conocimiento y razonamiento, junto con m...

En este trabajo se analizan comparativamente métricas de similitud entre documentos de texto con el objetivo de evaluar la pertinencia de títulos bibliográficos, pertenecientes a una biblioteca universitaria, respecto...

O processo de Descoberta de Conhecimento em Bancos de Dados Geográficos (DCBDG) busca encontrar padrões, informações e relacionamento espacial implícitos em dados descritivos e espaciais armazenados em bancos de dad...

El proceso de Aseguramiento de la Calidad de Software es el conjunto de acciones planificadas y sistemáticas implantadas dentro del sistema de calidad, y demostrables si es necesario, para proporcionar la confianza adec...

La Explotación de Información es la subdisciplina de la Informática que aporta las herramientas de análisis y síntesis para extraer conocimiento no trivial que se encuentra implícitamente en los datos disponibles e...

La Explotación de Información es la subdisciplina de la Informática que aporta las herramientas de análisis y síntesis para extraer conocimiento no trivial que se encuentra implícitamente en los datos disponibles. ...

Subjects / keywords: Web usage mining; Internet marketing; Internet users; Statistics; Data processing; Electronic books

Frequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot a...