ENGINEERING RESEARCH PAPERS

data mining IEEE PAPER 2017




Text Data Mining of Care Life Log by the Level of Care Required Using KeyGraph
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I. INTRODUCTION ata mining searches for correlations among items by analyzing a great deal of such accumulated data as sales data and telephone call histories. Text data mining resembles data mining because it extracts useful knowledge and information by analyzing Hollstein (2011) delineates six areas where qualitative research is helpful in social network research:(a) exploration of networks,(b) network practices,(c) network orientation and assessments,(d) how networks matter,(e) understanding network dynamics, and (f)

Effieient Algorithms to find Frequent Itemset Using Data Mining
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Abstract-Now a days, designing differentially private data mining algorithm shows more interest because item mining is most facing problem in data mining . During this study the possibility of designing a private Frequent Itemset Mining algorithm obtains high degree of

Using Data Mining to Refine Digital Behaviour Change Interventions
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ABSTRACT Do Something Different (DSD) behaviour change interventions are digitally delivered programmes designed to help people improve their health and wellbeing by adopting healthier habits. In addition to content addressing specific issues, such as diet,

Statistical and Machine-Learning Data Mining
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Page 1. Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling
and Analysis of Big Data Second Edition Bruce Ratner CRC Press Taylor Francis Croup Boca
Raton London New York CRC Press is an imprint of the Taylor St Francis Croup, an Informs

Introduction to Data , Text and Web Mining for Business Analytics Minitrack
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Abstract Data mining (along with its derivatives that include text mining and Web mining ) is one of the most popular enablers of business analytics. Although its roots dates back to late 1980s and early 1990s, most noteworthy/impactful outcomes of data mining come out after

Ensuring Veracity in Heterogeneous Data Mining
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The problems of data mining Big Data were first summarized in three words: Volume, Velocity, and Variety. However, as data mining was applied to disparate sources simultaneously, eg the Web, a fourth V was identified: Veracity (Yin et al., 2008). Veracity

Application of Data Mining Techniques for the Development of 3D Laser Scan Data Management Program
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Abstract Remotely sensed3D Laser Scantechnology is the most precise surveying technique to obtain three dimensional geospatial information. Due to its ease and precision, the application in various fields has been much preferred. But the data size are quite heavy

GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran
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More recently, some researchers used data mining algorithms such as boosted regression trees
(BRT), classification and regression trees, random forests, k nearest neighbor (KNN), linear
discriminant analysis (LDA), quadric discriminant models in ground water potential mapping

Analysis of Mahatma Gandhi National Rural Employment Guarantee Act Using Data Mining
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Abstract Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) aims at livelihood security of people in rural areas by guaranteeing hundred days of wage employment in a financial year to a rural household whose adult members volunteer to do

Is Alcohol Affect Higher Education Students Performance: Searching and Predicting pattern using Data Mining Algorithms
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ABSTRACT Chronic heavy drinking and alcoholism can have serious repercussions for the learning, and memory. Excessive drinking among college students is associated with a variety of negative consequences that include alcohol poisoning; fatal and nonfatal injuries;

Heart Disease Prediction Using Data Mining
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Abstract Heart disease is a major life threatening disease that cause to death and it has a serious long term disability. There is wealth of data available within the health care system. However, there is lack of effective tools to discover hidden relationships and trends in data .

Data - mining analysis of the global distribution of soil carbon in observational databases and Earth system models
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Abstract. Future climate change will dramatically change the carbon balance in the soil, and this change will affect the terrestrial carbon stock and the climate itself. Earth system models (ESMs) are used to understand the current climate and to project future climate conditions,

Associations of Personality Traits and Emotional Intelligence In Social Network Consumers via Data Mining Techniques
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Abstract The present study aims to investigate personality traits and emotional intelligence in young adults consumers who use social networks to make shopping. Consumer behavior has long been of interest to researchers. Contemporary research on Consumer Behavior

PERFORMANCE ANALYSIS OF STUDENTS CONSUMING ALCOHOL USING DATA MINING TECHNIQUES
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ABSTRACT Alcohol consumption in higher education institutes is not a new problem; the legal drinking age in the India is minimum 18 year, but heavy drinking by underage students and by those who are age 18 or older is dangerous, and disruptive. Excessive drinking

Significant target genes and signaling for miR-34a in gastrointestinal stromal tumors: a study of GEO- data mining and bioinformatics approaches
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Abstract: Objective: The study intent is to conduct an enquiry into the probable mechanism of miR-34a in the onset of gastrointestinal stromal tumors (GISTs) and to clarify the clinical role of miR-34a in GIST. Methods: Datasets relevant to miR-34a were collected from the Gene

Early Identification of Diseases Based on Responsible Attribute Using Data Mining
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Abstract-Now a days Data Mining is becoming a common tool in healthcare field. Data mining tools help in analytical methodology for detecting valuable information. Data Mining provides several benefits in health industry. Detection of the fraud in health insurance,

A Study of Some Data Mining Classification Techniques
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Abstract-An Classification is one the most useful and important techniques. Classification techniques are useful to handle large amount of data . Classification is used to predict categorical class labels. Classification models are used to classifying newly available data

COMPARISON OF DIFFERENT DATA MINING ALGORITHMS FOR PREDICTION OF BODY WEIGHT FROM SEVERAL MORPHOLOGICAL MEASUREMENTS
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ABSTRACT The aim of this study was to find the best one among CHAID (Chi-square Automatic Interaction Detector), Exhaustive CHAID, and CART (Classification and Regression Tree) data mining algorithms in the prediction of body weight (BW) from several

Weighted Delta Factor Cluster Ensemble Algorithm for Categorical Data Clustering in Data Mining .
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Abstract: Though many cluster ensemble approaches came forward as a potential and dominant method for enhancing the robustness, stability and the quality of individual clustering systems, it is intensely observed that this approach in most cases generate a final Algorithms are increasingly impacting our lives. They promote healthy habits by recommending activities that minimize risks, facilitate financial transactions by estimating credit scores from multiple sources, and recommend what to buy by profiling purchasing

Data Mining Techniques to Predict Diabetes Influenced Kidney
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ABSTRACT The 18 to 20% adults above than the age of 65 are being getting distressed globally that of the type 2 Diabetes Mellitus (DM). Disease named as Diabetic Kidney Disease (DKD), which is the recurrent as well as unsafe difficulty of DM2 that has influenced

Analysis on the Graph Techniques for Data - mining and Visualization of Heterogeneous Biodiversity Data Sets
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Abstract: Extisting biodiversity databases contain an abundance of information. To turn such information into knowledge, it is necessary to address several information-model issues. Biodiversity data are collected for various scientific objectives, often even without clear

Data Mining based on Random Forest Model to Predict the California ISO Day-ahead Market Prices
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Abstract In this paper, an ensemble learning model, namely the random forest (RF) model, is used to predict both the exact values as well as the class labels of 24 hourly prices in the California Independent System Operator (CAISO)s day-ahead electricity market. The focus

Design an Disease Predication Application Using Data Mining Techniques for Effective Query Processing Results
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Abstract In the query processing results environment, there are many different query processing techniques to satisfy the user request. All the Query processing techniques are available for satisfy the common applications. There is no available for individual

Survey on Techniques of Data Mining and its Applications
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Abstract: ata mining is the process of analyzing data from different views and summarizing it into useful data . Data mining , also popularly referred to as knowledge discovery from data (KDD), is the automated or convenient extraction of patterns representing knowledge This volume is a compilation of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2015), held in Paris, France, August 2015. The authors of these papers were asked to provide extended Abstract Data mining has become indispensable in the wake of ever-growing data in enterprises. The IT departments of organizations have their data mining services. However, the size of data is increased exponentially in such a way that the existing mining algorithms

Scalable Data Mining Algorithms in Computational Biology and Biomedicine
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Since Precision Medicine was initially launched by President Obama, it presents a huge challenge and chance for the computational biology and biomedicine. In recent years, computational methods appeared vastly in the biomedicine and bioinformatics research, Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data , both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive

Project Description CPM: Cyber-Physical Data Mining for Predictive Maintenance
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The world around us is in a constant flux with things changing dynamically. Houses are airconditioned, power is generated, distributed and consumed, cars drive on roads and highways, plants manufacture materials and objects, commercial transactions are made and

Mining Social Media Data for Understanding Drugs Usage
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Abstract: This review/survey paper based on the research carried out in the area of data mining depends for managing bulk amount of data with mining in social media on using composite applications for performing more sophisticated analysis using cloud platform.

Improving Association Rule Mining By Defining A Novel Data Structure
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Abstract-In recent years, growth in digital data storage in rapidly increased due to ease of use and lower coast digital storage media. This data is high dimensional and heterogeneous in nature. The process of knowledge discovery is being affected due to high

CASW: Context Aware Sliding window for Frequent Itemset Mining over Data Streams
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Abstract In recent years, advances in both hardware and software technologies coupled with high-speed data generation has led to data streams and data stream mining . Data generation has been much faster in data stream applications and scores of data is

Investigating spousal concordance of diabetes through statistical analysis and data mining .
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Objective Spousal clustering of diabetes merits attention. Whether old-age vulnerability or a shared family environment determines the concordance of diabetes is also uncertain. This study investigated the spousal concordance of diabetes and compared the risk of diabetes

SURVEY ON CRIME ANALYSIS AND PREDICTION USING DATA MINING TECHNIQUES.
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Abstract Data Mining is the procedure which includes evaluating and examining large pre existing databases in order to generate new information which may be essential to the organization. The extraction of new information is predicted using the existing datasets.

A Data mining and Meta-Analysis of Geodiversity and Geological Preservation Studies: Pedodiversity, the Other Side of the Coin
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Land degradation processes are complex and diverse (Yan and Cai, 2015; Álvarez-Martínez et al., 2016; Zhang et al., 2016). To understand the processes of degradation there is the need to understand a wide range of factors, including the sociological, biological,

Cardiovascular Disease Analysis Using Supervised and Unsupervised Data Mining Techniques.
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Abstract: Cardiovascular diseases are the main cause of death around the world. Every year, more people die from these diseases than from any other cause. According to World Health Organization data , in 2012 more than 17, 5 million people died from this cause, and

An Empirical Study on Mushroom Disease Diagnosis: A Data Mining Approach
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Abstract-In this paper, a data mining application is introduced for selecting highly effective factors or symptom of different disease diagnosis in mushroom yield. The study also focuses on several factors causing a specific mushroom disease. Highly potential symptoms among

Using Data -driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand.
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Abstract. This article uses data -driven techniques combined with established theory in order to analyse gambling behavioural patterns of 91 thousand individuals on a real-world fixed odds gambling dataset in New Zealand. This research uniquely integrates a mixture of

POWER QUALITY DISTURBANCES CLASSIFICATION USING DATA MINING TECHNIQUE
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ABSTRACT The use of sensitive electronic equipments is on the rise lately and power quality studies have progressed alot. Detection and classification of power quality signals is of greater importance both in case of Power quality studies and denoising. This paper

Data - mining for multi-variable flood damage modelling with limited data
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D Wagenaar, J de Jong - Earth Syst. Sci , 2017 - nat-hazards-earth-syst-sci-discuss. Abstract. Flood damage assessment is usually done with damage curves only dependent on the water depth. Recent studies have shown that data - mining techniques applied to a multi dimensional dataset can produce significantly better flood damage estimates. However,

A collection of sport activity datasets for data analysis and data mining 2017a
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This technical report presents a collection of sport activity datasets for data mining purposes. It is following the three previously published collections in 2015 [1] and 2016 [2, 3] and covers various sports and different types of athletes (professionals and amateurs). Data

A Higher Education Predictive Model Using Data Mining Techniques
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ABSTRACT The main objective of the higher educational organization is to provide high quality and necessary education to its students. The two goals of data mining in Indian education system is to analyze and enhance the chronicle way of recent educational data

Data Mining for Atmospheric Gravity Waves (Lee Waves)
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Abstract Gravity waves can emerge as a result of the perturbation of atmospheric circulatory systems. They encompass periodic, yet geographically stationary, changes in temperature, pressure and vertical wind components. Occurrence of such waves is frequent if strong

Critical Review of Data Mining Techniques for Insurance Service Operations
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Data Mining Techniques have the potential of finding valuable patterns from the data even if they are hidden. These techniques are of high importance for Insurance Industry as they require data from almost all possible sources in their operations. At the data analysis level it

Data - Mining Textual Responses to Uncover Misconception Patterns
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ABSTRACT An important, yet largely unstudied problem in student data analysis is to detect misconceptions from students responses to open-response questions. Misconception detection enables instructors to deliver more targeted feedback on the misconceptions

SURVEY ON STRESS TYPES USING DATA MINING ALGORITHMS
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Abstract: Stress will exist once operating or paying attention to somebody shouts at you. It is caused through conflicts, creating selections, or otherwise straining skills, or it will exist owing to various social demands on time. its noted that emotional states tends to not be long

Predicting Student Academic Performance using Data Mining Methods
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Summary The aim of this study is to use data mining techniques for predicting the students graduation performance in final year at university using only pre-university marks and examination marks of early years at university, no socio-economic or demographic features

Efficient Processing of AJAX Data using Mining Algorithms
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Abstract-One of the fundamental data mining tasks is mining association rules. Positive association rules referred to as typical association rules which consider only items enumerated in transactions. Negative association rules consider the same items but

Review of Cardiovascular Disease in Diabetic Patients using Data Mining Techniques
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Abstract: Data mining is the process of finding useful and relevant information from the databases. There are several types of mining techniques available and applicable magnificently on various sectors. Data mining process may take important role in Health

Analyzing Students Academic Performance Based on Data Mining Approach
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Abstract Career building is the most cherished part of every engineering student. For an engineering graduate it is necessary to have immense knowledge in their domain to get placed in a reputed company. Data Mining is used to gain knowledge, find the hidden

Data Analytics for YRBS (Youth Risk Behavior Survey) Data using Machine Learning and Data Mining Techniques
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? Behaviors that contribute to unintentional injuries and violence? Sexual behaviors related to unintended pregnancy and sexually transmitted infections, including HIV infection? Alcohol and other drug use? Tobacco use? Unhealthy dietary behaviors? Inadequate

Comparative Analysis between Rough set theory and Data mining algorithms on their prediction
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Abstract During the last few years there is a remarkable increase in development of Data mining techniques. Nowadays, various organizations store their information as a kind of databases. So huge amount of data and their informations are available in repositories. To

Comparison of the Predictive Capabilities of Several Data Mining Algorithms and Multiple Linear Regression in the Prediction of Body Weight by Means of Body
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The main goal of this study was to establish the algorithm with the best predictive capability among classification and regression trees (CART), chi-square automatic interaction detector (CHAID), radial basis function (RBF) networks and multilayer perceptrons with one (MLP1)

Analysis of road accidents using data mining techniques
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Abstract: Globalization has affected many countries. There has been a drastic increase in the economic activities and consumption level, leading to expansion of travel and transportation. The increase in the vehicles, traffic lead to road accidents. Considering the

Mining Huge Data with Closed Sequential Pattern Model
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Abstract: Pattern Mining is the essential task in the data mining industry. Several pattern mining models are available to process such as: Distributed Pattern Sequence Modelling, Structural Pattern Mining and so on. But there is a requirement for preserving the information

A Study on Data Mining Techniques on Healthcare Issues and its uses and Application on Health Sector
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Abstract: Data mining is very famous research fields due to its number of algorithms to mine the data in an proper manner. This paper focused on Data mining techniques on healthcare issue, applications, benefits and uses on health care sector. In this paper two popular

Career Counseling using Data Mining
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Abstract: Selecting an appropriate career is one of the most important decisions and with the increase in the number of career paths and opportunities, making this decision have become quite difficult for the students. According to the survey conducted by the Council of

Performance Analysis Of Data Mining Algorithms For Breast Cancer Cell Detection Using Naïve Bayes, Logistic Regression and Decision Tree
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Abstract: Breast cancer is one of the second leading causes of cancer death in women. Despite the fact that cancer is preventable and curable in primary stages, the vast number of patients are diagnosed with cancer very late. Established methods of detecting and

Analysis of Student Learning Experience by Mining Social Media Data
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Abstract: Many issues like depression, suicide, anger, anxiety are increasing among students. These issues are necessary to seek out and analyze, but students never discuss their issues with anyone. Today Social media is very popular medium where individuals

Analysis of Data Using Data Mining tool Orange
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Abstract: Data Mining is a process of computing models or design in large collection of data . There are many tools to analyze, visualize and extract data using data mining . However all the tools are not compatible to perform all analysis operations, In this paper we have

Big data mining using supervised machine learning approaches for Hadoop with Weka distribution
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Abstract Data is increasing very rapidly with the increase in technologies. To process this data and performing accurate mining to yield conclusions is a challenge. This domain to process and mining this big data is termed as big data mining . To store and process big data

Extracting Structural Data For Business Intelligence Using Cluster Data Mining
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Abstract Data mining is a knowledge extraction field that attempt to discover and store the related pattern from the large dataset. Extraction and storing the information is useful for many intellects. Storing of data has been enormously increasing day by dayin many

Knowledge Discovery in Databases- Data Mining . In Obrador, B., Jones, ID and Jennings, E.(Eds.) NETLAKE toolbox for the analysis of high-frequency data
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Objective Knowledge discovery in databases (KDD)(Fayyad et al. 1996) is the process of identifying valid, novel, potentially useful, and ultimately understandable patterns or models in data . Data mining (DM) is a step in the knowledge discovery process consisting of A social network is defined as a set of individuals related to each other based on a relationship of interest, such as friendship, advisory, co-location, and trust. Social network analysis is the study of behaviors and properties of these networked individuals. The interest

Estimation of Cold Carcass Weight and Body Weight from Several Body Measurements in Sheep through Various Data Mining Algorithms
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The goal of the present study was to compare the predictive performance of three data mining algorithms viz., CHAID, Exhaustive CHAID, and CART implemented in the estimation of cold carcass weight (CCW) and body weight (BW) from several body measurements

Development of Data Mining Model for the Evaluation of Human Skill Placement in the Engineering Sector
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Abstract: Data mining is one of the widespread research areas of present time as it has got wide variety of application to help people of todays world. It is all about finding interesting hidden patterns in a huge history database. In this research work, data mining is

A Survey Paper on Security Issue with Big Data on Association Rule Mining
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Abstract Big data implies performing computation and database operations for massive amounts of data , remotely from the data owners enterprise. Since a key value proposition of big data is access to data from multiple and diverse domains, security and privacy will play a

Role of Data Mining in Cyber Security
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Abstract: Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences From this

Data Mining Techniques for Customer Relationship Management
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Revised: 05/Apr/2017, Accepted: 21/Apr/2017, Published: 30/Apr/2017 Abstract Advancements in technology have made relationship marketing a reality in recent years. Technologies such as data warehousing, data mining , and campaign management software

A Review on Recommendation System and Web Usage Data Mining using K-Nearest Neighbor (KNN) method
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Abstract- Data Mining is a extraction of knowledge from large amount of Observational datasets. In Web world, there is immense of information available on the internet but user is not capable to find relevant information in short period of time. Therefore, a system called

Comparing Data Mining Techniques Used For Heart Disease Prediction
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Abstract Data mining is one of the richest areas of research that is more popular in health organizations. Data mining plays an effective role for uncovering new trends in healthcare organization which is helpful for all the parties associated with this field. Heart disease is the

Decal: A Data Mining Clustering Technique with Report Customization
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ABSTRACT The continuous growth of data per individual will soon become a problem. Technology makes our everyday living easier and faster, and also lead to the continuous growth of data but also gave the solution to it. Data Mining is then born. It is the process of

SVM CLASSIFIER ALGORITHM FOR DATA STREAM MINING USING HIVE AND R
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Abstract: Big data is a challenging functionality for analyzing the large volume of data in the IT deployment in a different dimension. To make that analysis process in more efficient manner we use Hive tool for query processing and providing statistical report using RStudio.

Performance Analysis of Data Mining Techniques over Sleeping Problem Dataset
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Abstract: Based upon the various classification algorithms such as C4. 5, CHC Adaptive, steady state genetic algorithm and Generational Genetic Algorithm, the efficiency of various data mining techniques on sleep habits dataset was analyzed and compared using

An Efficient Memristor-based Distance Accelerator for Time Series Data Mining on Data Centers
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ABSTRACT The rapid development of Internet-of-Things (IoT) is yielding a huge volume of time series data , the real-time mining of which becomes a major load for data centers. The computation bottleneck in time series data mining is the distance function, which has been

Heart Anomaly Forecasting Applying a Series of Data Mining Methods
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Many medicinal fields comprise lots of data regarding the health care. There may be some data with which we can derive some interesting patterns which frequently go exploited. Data mining is the process of analyzing huge data sets and derive the relevant information. It

Challenges arise of Privacy Preserving Big Data Mining Techniques
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Abstract-Big data is being generated from various sources-transactions, social media, sensors, digital images, videos, audios and for domains including healthcare etc this data is known as big data . The characteristics of Big Data include 3 Vs they are Volume, Velocity

A DATA MINING BASED MODEL TO IMPROVE UNIVERSITY MANAGEMENT
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Abstract. The main purpose of university managers is to manage as well as possible the institutional resources, the academic and administrative services. Thus they have to be able to manage and use a large amount of data and information, inside the own university as well

Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
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ABSTRACT An intrusion detection system is software that monitors a single or a network of computers for malicious activities that are aimed at stealing or censoring information or corrupting network protocols. Most technique used in todays intrusion detection system are

Detecting Worms Based on Data Mining Classification Technique
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Abstract: A computer worm is a program that self-propagates across a network exploiting security or policy flaws in widely-used services. One of the essential requirements of cyber security is to provide information security. Cyber security involves protecting information by

Data Mining Approach to Estimate the Duration of Drug Therapy from Longitudinal Electronic Medical Records
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Mining of Medical Data to Identify Risk Factors of Heart Disease Using Frequent Itemset
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Abstract - Data mining techniques are used in the field of medicine for various purposes. The function of data mining in biomedical information is remarkable one. Mining association rule is one of the interesting topics. It was first proposed for market basket analysis. In this

Investigating Identification Techniques of Attacks in Intrusion Detection Systems Using Data Mining Algorithms
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Summary According to extraordinary growth of network-based services, intrusion detection has been introduced as an important and efficient issue in the direction of networks security promotion. In order for coping with the infiltrators of networks and computerized systems,

Smart Health Prediction System Using Data Mining
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ABSTRACT The paper presents an overview of the data mining techniques with its applications, medical, and educational aspects of Clinical Predictions. In medical and health care areas, due to regulations and due to the availability of computers, a large amount of

Application of Materialized View in Incremental Data Mining Operation
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Abstract Materialized view is a database object used to store the results of a query set. It is used to avoid the costly processing time that is required to execute complex queries involving aggregation and join operations. Materialized view may be associated with the

Efficient Approach for Mining Consistent Profit Based Pattern over Large Dynamic Data Stream
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Abstract In present scenario information systems are continuously updated in several applications. Consistent pattern or regular pattern play important role in data mining . Efficient mining of consistent pattern is crucial task. Consistent pattern are those pattern

Genomic Data Mining Unraveled Potential Biocompass in Fruit Flies Using and Current Status of Magneto genetics
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Some animals have the extraordinary ability to sense the Earths magnetic field allowing them to navigate and migrate between different locations. It is essential that these animals detect weak magnetic fields with great precision to ensure that they do not become lost

Stock Market Prediction Using Data Mining Techniques with R
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Abstract: The stock market is a place where shares of publicly listed companies are traded. The shares are bought and sold depending up on the market indices. The price of stocks and assets are an important part of the economy. There are many factors that affect share

The Estimation of Wind Velocity Using Data Mining Techniques
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Estimation of wind velocity in real time is very essential as it can provide valuable information to people of different domains such as agriculture, aviation and tourism to mention few. Since climate data is growing exponentially it is hard to analyze it manually.

Mining Big Data using Genetic Algorithm
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Abstract In todays era, the amount of data available in the world is growing at a very rapid pace day by day because of the use of internet, smart phones, social networks, etc. This collection of large and complex data sets is referred to as Big Data . Primitive database

Automated Diagnosis of Heart Disease using Data Mining Techniques
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Abstract: The accurate diagnosis of a heart diseases, is one of the most important biomedical problems whose administration is imperative. In biomedical field, the classification of disease using data mining is the critical task. The prediction accuracy plays

Data Mining Clustering Techniques A Review
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Abstract With the advent increase in health issues in our day to day life, data mining has been an essential part to fetch the knowledge and to form different patterns. Accuracy is very necessary once it involves patient care and computerizing this large quantity of knowledge

Literature Review and Challenges of Data Mining Techniques for Social Network Analysis
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Abstract Data mining is the extraction of projecting information from large data sets, is a great innovative technology. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.

Heart Disease Prediction System Using Data Mining Techniques-A Review
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Abstract- Data mining is the computer based process of analyzing large sets of data and then extracting the meaningful patterns. Data mining tools predict future trends which allow business to make knowledge-driven decisions. Data mining tools can answer the business

Investigation of Data Mining Processing Stage Effect on Performance in Interferometric Measurement System
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Interferometric measurement systems has features such as high accuracy, high resolution, and easy installation. These features are emerging as a significant advantage against other displacement measurement systems such as dilatometric and capacitive [1 3].

Predicting Instructors Performance using Data Mining Techniques
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Abstract: Data mining is very important in the field of Education especially when examining the students learning behaviour. It is very useful technique to analyze and uncover the hidden information about data sets which itself is very hard and time consuming process and Abstract Data mining is used as a popular technique in several scientific researches. In agriculture, application of data mining is a relatively new approach. One of the most popular data mining approaches is to find prediction rules from experimental data sets. The present

A Survey on Classification of Liver Diseases using Image Processing and Data Mining Techniques
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Abstract-Human soft tissues are diagnosed by different imaging modalities such as Computed tomography CT, Ultrasound US, Magnetic resonance imaging MRI all these imaging modalities are applied depending on the nature of the disease. In the classification

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