ENGINEERING RESEARCH PAPERS

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
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DATA MINING IEEE PAPER 2018
ENGINEERING RESEARCH PAPERS

DATA MINING IEEE PAPER 2018




Editorial: Data Mining and Methods for Early Detection, Horizon Scanning, Modelling, and Risk Assessment of Invasive Species
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Alien species are taxa introduced to areas beyond their natural distribution by human activities, overcoming bio-geographical barriers. Accelerating movement of humans, animals and goods are driving an increasing rate of biological invasions [2, 3]. Through a

Kernel Based Intrusion Detection Using Data Mining Techniques
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ABSTRACT From the onset of internet arrangement, protection menaces normally recognized as intrusions has return to be a highly important and demanding issue in internet arrangements, knowledge and information system. In this system to overcome these

Educational Data Mining : A Case Study Perspectives from Primary to University Education in Australia
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ABSTRACT At present there is an increasing emphasis on both data mining and educational systems, making educational data mining a novel emerging field of research. Educational data mining (EDM) is an attractive interdisciplinary research domain that deals with the

Prediction of Body Weight of Turkish Tazi Dogs using Data Mining Techniques: Classification and Regression Tree (CART) and Multivariate Adaptive
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Body weight of dogs is crucial trait for breeding, racing and housekeeping. However, variables and factors that correctly estimate this trait are lacking. Here, we applied classification and regression tree (CART) and multivariate adaptive regression splines

Information extraction from text messages using data mining techniques
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ABSTRACT We are living in an era of increased pressure and mental disorders. The increased level of stress and pressure results in inclination of the number of people showing suicidal tendencies and thus a larger number of people are committing suicide. Stress can be

Introduction to the Minitrack on Data Analytics, Data Mining and Machine Learning for Social Media
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Transforming data from social media into useful information, or knowledge, is the focus of this minitrack. The papers at HICSS in 2018 remind our attendees and readers of the many real-world applications of data analytics, data mining and machine learning for social

Application of Data Mining Techniques in IoT: A Short
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ABSTRACT Internet of Things (IoT) has been growing rapidly due to recent advancements in communications and sensor technologies. Interfacing an every object together through internet looks very difficult, but within a frame of time Internet of Things will drastically

CRM Application For Analizing the Sales Using Data Mining Techniques and Business Intelligence
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ABSTRACT : There ABSTRACT CRM plays a very important role in todays marketing, using customer knowledge to sustain business growth. Based on the mental accounting theory, there are problems of uncertain supply and stock-dependent demand and analyze the effect

To Assess the Performance of EAHC Algorithm Using Sensor Discrimination Dataset for the Improvement of Data Mining System
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ABSTRACT The process of grouping a set of physical or intangible objects into classes of similar objects is called clustering. A cluster is a group of data objects that are related to one another within the similar cluster and are dissimilar to the objects in other clusters. It is

Data mining of effect sizes from PubMed
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In their recent article published in Bioinformatics and entitled Algorithmic identification of discrepancies between published ratios and their reported confidence intervals and P- values[designated thereafter by Error Study], Georgescu and Wren (2017) used a data

Data Mining Techniques to Improve Customer Relationships Management
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ABSTRACT -Advancements in todays technologies have made huge relationship markets in recent years. Todays competitive world requires to manage customer relationship. Technologies such as data mining data warehousing and campaign management software

FEA-HUIM: Fast and Efficient Algorithm for High Utility Item-Set Mining Using Novel Data Structure and Pruning Strategy
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ABSTRACT The aim is to recognize the item sets from transaction databases that direct the high profit of the business. It identifies groups of items that are brought together that earn a high profit. It can help the owner to earn more by promoting the sales of high utility items, so

A Review on Data Mining Techniques for Fertilizer Recommendation
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ABSTRACT Agriculture plays a crucial role in the life of an economy. It is the backbone for developing countries like India as more than 70% of population depends on agriculture. To increase crop production many factors are responsible like soil, weather, rain, fertilizers and

Top-K Competitor Trust Mining and Customer Behavior Investigation Using Data Mining Technique
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ABSTRACT In the recent scenario web data and shopping domain is a rising domains. There are more and more applications and companies provide online services nowadays. However, the rapid growth of online shopping information imposes an increasing challenge

Investigation of Performance Analysis of Classification Algorithm in Data Mining
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ABSTRACT Data mining is now one of the most active field of research. Extracting those nuggets of information is becoming crucial and one of its important technique is classification. It helps to group the data in some predefined classes. Various techniques for

A Research Homomorphic Encryption Scheme to Secure Data Mining in Cloud Computing for Banking System
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ABSTRACT Big data is difficult to handle, process and analyse using traditional approach. Using services, we can resolve problem like resource sharing, storage capacity and data transfer bottlenecks etc. But there is a main issue of data mining based attacks, allows an

Survey on data mining techniques for disease prediction
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ABSTRACT -Medicinal services produces gigantic information on every day ground having diverse structures like printed, images, numbers pool and so forth. However there is absence of devices accessible in heathcare to process this data . Data mining frameworks

Cloud Based Farmer E-Web Application Using Data Mining
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ABSTRACT In India, most people are farmers they are working in agriculture so agriculture is one of the most important sector in India. Farmers work hard in farm for growing good quality of crop. In India, Indian farmers do farming in traditional way they are unaware of new

Privacy Issues in Big Data Mining Infrastructure, Platforms, and Applications
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We are pleased to announce the publication of the special issue focusing on privacy issues in big data mining infrastructure, platforms, and applications. The integration of extensive parallel computation power, scalable platforms, and advanced communications has

Big Data Mining
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Page 1. Big DataMining 1 1062DM03 MI4 (M2244) (2995) Wed, 9, 10 (16:10-18:00) (B206) (Association Analysis) Min-Yuh Day Assistant Professor (Syllabus) 2 Page 3. (Week) (Date) (Subject/Topics) 9 2018/04/25 (Midterm Project Presentation) 10 2018/05/02 11 2018/05/09 Both data mining and analytics have a basis in statistical methods, where data mining seeks to reveal and characterize unknown interesting structure in data and analytics encompasses the entire decision-making process from data through decisions, within which The seriesAdvances in Intelligent Systems and Computingcontains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information

Spatial Data Mining for Prediction of natural events and disaster management based on fuzzy logic using hybrid PSO
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ABSTRACT Spatial Data Mining can fulfill existent requirements of numerous geographic applications for disaster management. It permits acquiring benefit of enhancing accessibility of geographically referenced data and their probable aspects. From natural events data

A Review of the Application of Data Mining Techniques for Vegetable Price Prediction
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ABSTRACT Agriculture is the backbone of Indian economy. The volatile nature of Agriculture commodity prices cause the unfortunate effect on the economy and expose the growers to high risk. Nowadays Government and other commercial sectors provide fundamental data

of Fattening Final Live Weight from some Body Measurements and Fattening Period in Young Bulls of Crossbred and Exotic Breeds using MARS Data Mining
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ADJ= 0.9643, SDRATIO= 0.168 and r= 0.986) for the data evaluated in the investigation. Also, GCV value of the MARS prediction equation was found as 409.83. In conclusion, it could be suggested that a very reliable prediction equation with the predictive accuracy of

A DATA MINING STUDY FOR CONDITION MONITORING ON WIND TURBINE BLADES USING HOEFFDING TREE ALGORITHM THROUGH STATISTICAL
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ABSTRACT This paper presents an algorithmic classification of different faults which occur in variable wind turbine blade. The faults like blade bend, blade cracks, blade erosion, hub- blade loose connection and pitch angle twist were considered. Initially statistical and

Quine-McCluskey: A Novel Concept for Mining the Frequency Patterns from Web Data
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ABSTRACT With the advancement in the web technology it is considered as one of the vast repository of information. However this information is in the hidden form. Various data mining techniques need to be applied for extracting the meaningful information from the web. In this

Heart Disease Prediction System Using Data Mining
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ABSTRACT : There ABSTRACT Medical Diagnosis Systems play a vital role in medical practice and are used by medical practitioners for diagnosis and treatment. In this project, a medical diagnosis system is presented for predicting the risk of cardiovascular disease. This system

Mining Vessel Trajectory Data for Patterns of Search and Rescue
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ABSTRACT The overall aim of this work is to explore the possibility of automatically detecting Search And Rescue (SAR) activity, even when a distress call has on yet been received. For this, we exploit a large volume of historical Automatic Identification System

Novel Data Mining Methodology SDM (Spread Data Mining ) for Collaborative Multi Agents in Peer to Peer Networks
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ABSTRACT In this modern era of information technology independent agents, multi-agent and knowledge discovery are the most active areas. Continuous research has uncovered various natural difficulties and issues confronting every zone, which cant be tended to be

A Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining
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ABSTRACT : This study identified the risk factors for mental illness and formulated a predictive model based on the identified variables. The study simulated the formulated model and validated the model with a view to developing a model for predicting the risk of mental

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

Advances in Data Mining : Healthcare Applications
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ABSTRACT Owing to the great advantages various organizations are using data mining technology. Healthcare is a vital part for everyone. Different new technologies are inventing to examine physical conditions and finding symptoms of the different disease. There is a

Intrusion Detection System Using Data Mining
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ABSTRACT Security of any organization is the primary concern nowadays. But internal intrusion is the big problem as the person knows all the internal information of the organization, so the person can launch the attack from internally without firewall detection

Retrieval of ImagesText using Data Mining Techniques
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ABSTRACT -In the domain of Image processing, Image mining is advancement in the field of data mining . Image mining is the extraction of hidden data association of image data and additional pattern which are quite not clearly visible in image. Data mining refers to the

Application of Data Mining Technology in the Loss of Customers in Automobile Insurance Enterprises
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ABSTRACT : This paper is based on the customer churn data of auto insurance, construction of index system in three aspects: the customer information, the subject matter of the insurance information and hold product information; This paper uses decision tree and Logistic

AN APPROACH TO DATA MINING
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ABSTRACT Data Mining is the process of extracting patterns from data . Data Mining is seen as increasingly important tool by modern business to transform data into an informational advantage. The Knowledge Discovery in Databases (KDD) field of data mining is concerned

Data Mining Case Study for Water Quality Prediction using R Tool
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ABSTRACT Water pollution has a duel effect on nature. It has negative effects on the living and also on the environment. The effects of pollution on human beings and aquatic communities are many and varied. Water pollution causes approximately 14,000 deaths per

Identification of Toddlers Nutritional Status using Data Mining Approach
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ABSTRACT One of the problems in community health center or health clinic is documenting the toddlers data . The numbers of malnutrition cases in developing country are quite high. If the problem of malnutrition is not resolved, it can disrupt the countrys economic
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