Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 76 for “"exploratory data analysis"”.
-
Exploratory data analysis for preemptive quality control
… industrial processes with abundant process data. This involves a 4 stage process which includes understanding the process, interpreting and linking the available process parameter and quality control data, developing an exploratory data toolset and presenting the findings in a visual and …
-
Exploratory Data Analysis using Clusters and Stories
Exploratory data analysis aims to study datasets through the use of iterative, investigative, and visual analytic algorithms. Due to the difficulty in managing and accessing the growing volume of unstructured data, exploratory analysis of datasets has become harder than ever and an interest to data …
-
New capabilities for large-scale exploratory data analysis
The ever-rising diversity of data generated, manipulated, and analyzed every day engenders a variety of data formats, ranging from one fixed dataset to multiple versions of a dataset stored across multiple data sources. This variety of formats has led to substantial challenges in data exploration. …
-
SpreadCube--a visualization tool for exploratory data analysis
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
-
Teaching exploratory data analysis using a microcomputer-based telecommunications network
… telecommunication network technology in teaching exploratory data analysis to eighth grade students. The effects of employing a technology-based teaching strategy on the achievement and attitudes of students from an urban middle school in an east Central Illinois community were observed in order …
-
Evaluating Spatial Variability of Precipitation in Kentucky with Exploratory Data Analysis
… and surrounding areas. The study focuses on the analysis of monthly precipitation totals from the period of 1961-2000. The purpose of the study is to develop a set of indices to represent the spatial variability of the study area for a given month. Various exploratory data analysis methods such …
-
Exploratory Data Analysis (EDA) and Predictive Machine Learning (ML) for Buildings’ Energy Fault Detection
… is a critical challenge in energy usage analysis. It helps uncover energy wastage, machinery/appliance degradation or inefficiency, and failures or faults in buildings’ HVAC (heating, ventilation, and air conditioning) systems. Early identification of machinery failure and energy wastages …
-
Place in social process : an exploratory data analysis of outcomes from localised labour exchange
… difficulties are compounded in empirical analysis where the spatial and social are highly disaggregated. Any response must, therefore, address these features of the problem if the situation is to be redressed. A twofold response was formulated. The first, concentrates attention on labour …
-
Place in social process : an exploratory data analysis of outcomes from localised labour exchange
… difficulties are compounded in empirical analysis where the spatial and social are highly disaggregated. Any response must, therefore, address these features of the problem if the situation is to be redressed. A twofold response was formulated. The first, concentrates attention on labour …
-
An Exploratory Data Analysis of Reasons Hispanic Parents Give for Withdrawing or Denying Permission for Their Limited English Proficient Children to Participate in Transitional Bilingual Education Programs
… attempted to answer three problems utilizing exploratory data analysis. The first problem determined and analyzed the reasons Hispanic parents, who reside in a typical school district with limited English proficient (LEP) students, give for withdrawing or denying permission for their LEP …
-
Parental Involvement Strategies Implemented by Selected Virginia School Districts
… is 10% or greater Latino were surveyed. Exploratory data analysis was utilized to examine the perceptions and opinions of selected teachers on the involvement of Latino parents in selected schools. Implications of the research findings are discussed and future research topics are …
-
The Graphical Representation of Structured Multivariate Data
… summarisation and communication of statistical data. Many graphical techniques exist for exploratory data analysis (ie. for deciding which model it is appropriate to fit to the data) and a number of graphical diagnostic techniques exist for checking the appropriateness of a fitted model. …
-
Interpreting Southern California Arc Geochemistry by Multivariate and Spatial Methods
<p>Exploratory data analysis methods of multivariate statistical techniques and spatial visualization are emerging trends in understanding big datasets. In this project, these techniques are applied to a large igneous geochemical dataset from the southern California segment of the Mesozoic …
-
AI-Driven Fake News Detection: Trends, Techniques, and Experimental Analysis
… AI methodologies, focusing on techniques like data augmentation, information extraction, and results explanation. To re-evaluate classical algorithms, this work provides a detailed analysis of a 2016 U.S. election dataset. By employing fact-checking and advanced data mining, we investigate …
-
Uma abordagem para geração e visualização de regras de associação de acesso a conteúdos de portal de notícias
… rules obtained from the content access history data of a Brazilian journal. The proposed approach is composed of four phases: exploratory data analysis (EDA), data preprocessing, generation of association and sequence rules, and visualization of results. The algorithms Apriori and FP-Growth were …
-
Integrating digitizing pen technology and machine learning with the Clock Drawing Test
… the most current machine learning tools for analysis of CDT results, the digitizing pen has been used to computerize this diagnostic test. In order to successfully integrate digitizing pen technology with the CDT, a digit recognition algorithm was developed to reduce the need for manual …
-
The use of correspondence analysis in building loglinear models
Data collected in the biomedical and social sciences by means of questionnaires is in most instances qualitative in nature. Such data, typically set out in the form of (multi-dimensional) contingency tables, is usually subjected to hypothesis testing in order to assess the interrelationships …
-
Digital Thread and Analytics Model to Improve Quality Controls in Surgical Stapler
Ethicon, Inc. currently collects data in various stages of its supply chain, but the information is fragmented across the end-to-end chain, resulting in a reactive supply chain. This study seeks to understand the data maturity of Ethicon's surgical stapler through exploratory data analysis and …
-
Sociometric badges : wearable technology for measuring human behavior
… of group interaction quality. An initial exploratory data analysis indicates that it is possible to automatically capture patterns of behavior using this wearable platform.
Page 1 of 4