DATA MINING IEEE PAPER 2018
Using Topological Data Analysis to Infer the Quality in Point Cloud-based 3D Printed Objects
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Authors: Paul Rosen, prosen@ usf. edu, University of South Florida Mustafa Hajij, mhajij@ usf. edu, University of South Florida Junyi Tu, junyi@ mail. usf. edu, University of South Florida Tanvirul Arafin, tanvirul@ mail. usf. edu, University of South Florida Les Piegl
Overview of IUI2018 Workshop: User Interfaces for Spatial and Temporal Data Analysis (UISTDA2018)
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ABSTRACT Nowadays, humanity generates and contributes to form large and complex datasets, going from documents published on media outlets, posts on social media or location-based information. The generated information tends to be complex, heterogeneous
When remote sensing meets topological data analysis
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Remote sensing already has a rather long history and started around 1950. 1 It is obvious that instrumental developments have played and continue to play a crucial role in its ascendancy, but spectral data analysis has not been overlooked either. Moreover, we can
A DEEP LEARNING PLATFORM FOR DIABETES BIG DATA ANALYSIS
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1Centre for Bio-Inspired Technologies, Institute of Biomedical Engineering, Imperial College London, UK 2Data Science Institute, Imperial College London, UKDeep learning has been proven to achieve stateof-art performance in modelling complex behaviour and the
Error Analysis of Surface Resistance Fits to Experimental Data
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ABSTRACT Superconducting material properties such as energy gap, mean free path or residual resistance are commonly extracted by fitting experimental surface resistance data . Depending on the measurement setup, both, temperature range and the number of points
Practice Your Data Analysis Skills!
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ABSTRACT In this exercise, we present you with a realistic dataset for nest parasitism and a hypothetical analysis performed by a hypothetical student. Using arubricor assessment guide, you will evaluate the analysis and, where necessary, correct it or improve it. In the
Investigating the randomness and duration of PM10 pollution using functional data analysis
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ABSTRACT Information on situation of air pollution is critically needed as input in four disciplines of research including risk management, risk evaluation, environmental epidemiology, as well as for status and trend analysis . Two normal practices were identified
Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes
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Page 1. CORRIGENDUM Bioinformatics tools for quantitative and functional metagenome and metatranscriptome dataanalysis in microbes Sheng-Yong Niu, Jinyu Yang, Adam McDermaid, Jing Zhao, Yu Kang and Qin Ma Briefings in Bioinformatics, 2017. https://doi.org/10.1093/bib
Development and Analysis of Artificial Neural Network Models for Rainfall Prediction by Using Time-Series Data
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ABSTRACT Time Series data is large in volume, highly dimensional and continuous updating. Time series data analysis for forecasting, is one of the most important aspects of the practical usage. Accurate rainfall forecasting with the help of time series data analysis will help in Neuroscience is becoming increasingly quantitative and the need for theoreticians interested in collaborating with experimental neuroscientists will only increase in the coming years. In addition to a need for modeling, the kinds of problem which arise in neuroscience
Analysis of high dimensional environmental data using local fractality concept and machine learning
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In many cases, complex phenomena like environmental risks, natural hazards, and renewable resources assessments are considered in high dimensional feature spaces. Therefore, an exploratory analysis and visualization of high dimensional data is an important
AN EXPLORATORY DATA ANALYSIS OF THE EAST ATLANTIC BLUEFIN STOCK ASSESSMENT DATASET
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SUMMARY An exploratory data analysis is conducted of the Eastern Atlantic and Mediterranean bluefin dataset prepared for the Virtual Population Analysis . These data include the catchat-age of the whole stock, catch per unit effort and their partial catches. The
Cluster Analysis of Cyber Crime Data using R
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ABSTRACT -Cluster analysis divides the data into groups that are meaningful, useful or both. It is also used as a starting point for other purposes of data summarization. This paper discuss some very basic algorithms like K-means, Fuzzy C-means, Hierarchical clustering to come
Plantar pressure repeatability data analysis for healthy adult based on EMED system
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ABSTRACT This paper presents the repeatability data analyses and discusses the selection of the appropriate type of plantar pressure measurements for the EMED system with regards to pressure level values (PLV) over the touch insole area of healthy adults. In this research, a
Integrated Framework for Keyword-based Text Data Collection and Analysis
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In this paper, we present an integrated framework for keyword-based text data collection and analysis . The integrated framework consists of four types of component:(1) user interface,(2) web crawler,(3) data analyzer, and (4) database (DB). The user interface is used to set input
Towards a one-stop solution for large-scale proteomics data analysis
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When China started to push for proteome research in 2010, Dr. John Bergeron from McGill University had just finalized with colleagues a report from a Human Proteome Organization (HUPO) test sample working group, which had sent an equimolar mixture of 20 highly
Application of Semantic Computing in Cancer on Secondary Data Analysis
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ABSTRACT There have been an enormous number of publications on cancer research. These integrated but unstructured cancerrelated articles are of great value for cancer diagnosis, treatment and prevention. In this study, we use the basic concepts underlying text mining This volume comprises the revised versions of the selected papers presented during CLADAG 2015, the 10th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (SIS) that was held in Santa Margherita di Pula, Cagliari, Italy
A New Concept to Calibrate and Evaluate a Hydrological Model Based on Functional Data Analysis
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ABSTRACT Performance measures are widely used in hydrological modeling to provide objective evaluation of the match between simulated and observed system output (ie discharge). Each performance measure emphasises a particular aspect of a hydrograph
Investment and Economic Growth: A Panel Data Analysis
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Contribution/Originality: This study contributed that investment plays an imperative character in the progression of economic development, by means of a panel data set of SAARC countries. This study empirical result explained that the investment is positive effect the
Drug-induced sedation endoscopy: data capture, data analysis and sedation administration
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The article Sleep Endoscopy Midazolam: Sedation Level Evaluation with Bispectral Analysisby Abdullah et al. is the first study to examine in detail the effect of midazolam using bispectral analysis during drug-induced sedation endoscopy (DISE) . Our interest in This book is adapted from my habilitation thesis manuscript, which reviewed my research work since my Ph. D. thesis defense (2008), as a postdoctoral researcher at the University of Utah (2008 2010) and a permanent CNRS researcher at Telecom ParisTech (2010 2014)
A Novel Approach of Quantitative Data Analysis using Microsoft Excel
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ABSTRACT The point of this short guide is to give a prologue to utilizing Microsoft Excel (in the future: Excel) for quantitative data analysis inside the setting of a business and administration inquire about project. It covers a portion of the key highlights of Excel that are
Health Expenditure, GDP Growth and the Financial Crisis: A Panel Data Analysis for OECD European Countries
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Page 1. n. 602 Jan 2018 ISSN: 0870-8541 Health Expenditure, GDP Growth and the Financial Crisis: A Panel DataAnalysis for OECD European Countries Joana Cima 1,2 Álvaro S Almeida 1,2 1 CEF.UP, Research Center in Economics and Finance, University of Porto
A Big Data Analysis and Mining Approach for IoT Big Data
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ABSTRACT These days, large amounts of data are produced by various ways such as stock data market basket transactions, IoT sensors, etc. Such data can be accumulated and analyzed to provide helpful information in our lives. With the rapid development of IoT
Complex Dynamic Systems Research: Some Insights on Data Analysis
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Acquiring a second language (L2) has been increasingly recognized to be an ongoing developmental process, one that progresses in a fluid and non-linear fashion (Larsen- Freeman, 2015). Instead of operating like a mechanical black box that parses incoming
How Financial Stability Affects Economic Development in South Asia: A Panel data Analysis
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ABSTRACT This study examines the relationships between economic development and financial stability in five South Asian economies, namely Pakistan, India, Bangladesh, Sri Lanka and Nepal over the period of 1980-2012. Human Development Index (HDI) used to
On the role of credit in agricultural growth: An Iranian panel data analysis
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AIMS Agriculture and Food, 3(1): 1 11. DOI: 10.3934/agrfood.2018.1.1 Received: 29 October, 2017 Accepted: 09 January, 2018 Published: 31 January, 2018 On the role of credit in agricultural growth: An Iranian panel dataSaeed Hosseini Nejad, Reza Moghaddasi* and This book offers a fairly self-contained account of the fundamental results in categorical data analysis . The somewhat old fashioned title (Lectures) refers to the fact that the selection of the material does have a subjective component, and presentation, although rigorous, aims
Tobacco use: prevalence, pattern, and predictors, among those aged 15-49 years in Nigeria, a secondary data analysis
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ABSTRACT INTRODUCTION Tobacco use is a major global public health challenge. It is a risk factor for most leading causes of death, and its health impacts span from conception to adulthood. This study aims to analyse tobacco use data from the 2013 Nigerian
Tele Comm. Customer Data Analysis using Multi-Layer Clustering Model
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ABSTRACT Customer segmentation provides an efficient way to get insights into customer characteristics and behavioral preferences. Two-layer clustering model for mobile telecommunication client analysis enhances customer relationship management and
Research on Quick Visualization Analysis Model of Power Big Data Based on 3D Scene
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ABSTRACT . The ideas based on integrating power big data and visualization, this paper firstly puts forward quick visualization analysis model of power big data based on 3D scene, it designs several levels to realize ABSTRACT ion in business, engine, computation, control and
Predictive Analysis of Sports Data using Google Prediction API
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ABSTRACT Prediction system is very essential to curb the curiosity of anything. Many sports prediction systems are in great demand and data analysis plays a great role in prediction. Previous efforts in sports data analysis have resulted in prediction of sports such as football
A PANEL DATA ANALYSIS OF CHINAS TRADE PATTERN WITH OPEC MEMBERS: GRAVITY MODEL APPROACH
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International trade has become a salient characteristic of Chinese economic expansion. In 2013 China has become the World s largest trading country which isa landmark milestone for the nation (Muhammad and Qi, 2017). The annual trade in goods passes the
A Novel Sorting Algorithm for Data Analysis
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ABSTRACT Sort algorithms are a basic research domain in computer science. In last few years, many researchers proposed several sorting algorithm to enhance time complexity and space complexity. In this paper we present a mapping sorting algorithm for
Big Data Output in J-gate during 2013 to 2017: A Bibliometrics Analysis
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ABSTRACT The present study discusses theBig Data as reflected in J-gate for the period from 2013 2017. The present paper investigates the highly productive authors, and h-index. Present study is also aims to find out the top contributing Authors, Subject area, Source
Ensemble Sentiment Analysis to Identify Human Trafficking in Web Data
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ABSTRACT We motivate the use of sentiment analysis as a technique for analyzing the presence of human trafficking in escort ads pulled from the open web. Traditional techniques have not focused on sentiment as a textual cue of human trafficking and instead have
OF PUBLIC EXPENDITURES ON ECONOMIC GROWTH IN THE POST TRANSITION COUNTRIES OF THE EUROPEAN UNION-PANEL DATA ANALYSIS
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ABSTRACT The endogenous growth models (Lucas and Romer) represent the theoretical basis for the study of the impact of fiscal policy on economic growth. Using their findings, Barro has created a model explaining how fiscal policy can affect the rate of GDP growth. In CSE PROJECTS