data mining 2021




Spatial Data Mining Methods Databases and Statistics Point of Views
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This article reviews the approaches used in data mining to perform a geographical study of regional datasets coupled with Geographic Information Systems (GIS). Firstly, we can look at the functions of data mining used by such data and then illustrate their precision compared With the rapid development and popularization of Internet and mobile communication technologies, text data mining has attracted much attention. In particular, with the wide use of new technologies such as cloud computing, big data, and deep learning, text mining has Educational data mining is used to discover significant phenomena and resolve educational issues occurring in the context of teaching and learning. This study provides a systematic literature review of educational data mining in mathematics and science education. A total ofGainful livestock farming requires selective breeding of animals with certain heritable desirable traits which gives profitability in terms of farm produce. Modern dairy animals are selected for traits which directly or indirectly contribute to high milk production. The concept

A Similarity based K-Means Clustering Technique for Categorical Data in Data Mining Application
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Clustering plays a major role in the data mining application, because it divides and groups the data effectively. In the pattern analysis, two major challenges occur in real-life applications that includes handling the categorical data and the availability of correctly

Text documents clustering using data mining techniques.
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Increasing progress in numerous research fields and information technologies, led to an increase in the publication of research papers. Therefore, researchers take a lot of time to find interesting research papers that are close to their field of specialization. Consequently

Scalable Analysis of COVID-19 Spatiotemporal Patterns Based on Data Mining Tools: Using 3D Bins to Predict Short-time Focus Locations
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Background: An interesting research line is related to COVID-19 behavior from a territorial and temporal perspective. Hence, the use of 3D space-time bins is a useful tool to contrast limitations of visual assessment and reveal the detailed areas most at risk for the pandemic

Data mining approach to analyzing intrusion detection of wireless sensor network
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Wireless sensor network (WSN) is a collection of wireless sensor nodes which are distributed in nature and a base station where the dispersed nodes are used to monitor and the physical conditions of the environment is recorded and then these data are organized

The relationship between the coat colors of Kars Shepherd Dog and its morphological characteristics using some data mining methods
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The aim of the study was to apply various data mining techniques to determine coat colour and live weight of Kars shepherd dog. C5. 0, MARS (Multivariate Adaptive Regression Splines) and Bagging MARS (Bootstrap Aggregating Multivariate Adaptive Regression

Predicting the Behavior of Blood Donors in National Blood Bank of Ethiopia Using Data Mining Techniques.
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A modern technology used for extracting knowledge from a huge amount of data using different models and tasks such as prediction and description is called data mining . The data mining approach has a great contribution on solving a different problem for data miners. This

An Enhanced Network Intrusion Detection System Using Data Mining
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This research work treats the enhanced network intrusion detection system via the utilization of data mining techniques to detect attacks cause by intruder in a network for attackers. Many research works have done in area of intrusion detection in a network we will be

Application of data mining in identifying and discovering hidden patterns of theft
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Crime prevention has always been one of the basic and important issues in human life that have been applied in various ways throughout history. Due to the development of information and communication technologies and the launch of comprehensive information

Application Analysis of Data Mining Technology in the Field of Learning Analysis in China From the Perspective of Content Analysis
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Learning analysis has gradually become the focus of attention of the majority of educators, and data mining has brought more possibilities for learning analysis. This study takes CNKI literature as the research object, searches data mining and learning analysis as

The Basic Research of Data Mining Of Input With Weighted matrix On Data Classification Based on Neural Network
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How to choose the feature for training the back-propagation neural network is a well-known problem. The basic principles are to avoid encrypting the datas underlying structure and avoid using irrelevant inputs. So people propose to use the data mining technology on the

Diverse Analysis of Data Mining and Machine Learning Algorithms to Secure Computer Network
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Abstract Information and Communication Technologies, to a long extent, have a major influence on our social life, economy as well as on worldwide security. Holistically, computer networks embrace the Information Technology. Although the world is never free from people

Test Performance Prediction Using Data Mining
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Educational Data Mining (EDM) is an emerging interdisciplinary research field which involves exploring large scale datasets that come from educational settings in order to better understand students and the settings in which they learn. This is done with the aim of being Data mining plays the key role in crime analysis. There are various number of different algorithm in previous research papers like virtual identifier, pruning strategy, support vector machines and apriori algorithms. VID (Virtual ID) is to find relationship between record

AN ANALYSIS OF APPLICATIONS OF DATA MINING IN WEATHER FORECASTING
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Climate change is becoming a serious impact nowadays on the environment. Climate change refers to extreme changes in weather conditions. It leads to major threat for human beings. The drastic changes in weather, makes people difficult in predicting the climaticThe Intrusion Detection System (IDS) plays a significant part in security schemes. Network IDS (NIDS) seems to have a position in the detection of harmful and unauthorized networks and systems among its various forms. The identification of Denial of Service (DoS) and

Development and Implementation of Locally-Executed Data Mining on Smartphones
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Abstract Development and Implementation of Locally-Executed Data Mining on Mobile Devices by Darren Yates. Data mining is the science of extracting information orknowledgefrom data. It is a task commonly executed on cloud computing resources, as

DATA MINING OF ONLINE QUIZ LOG FILES: CREATION OF AUTOMATED TOOLS FOR IDENTIFICATION OF POSSIBLE ACADEMIC MISCONDUCT IN LARGE
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The rapid shift to remote course delivery in March during the COVID-19 pandemic presented a significant challenge for administering fair and reliable student assessments. Students and instructors who were not specifically trained for an online learning

Development of Predictive Model for Infant Media Addiction Through Text Mining and Data Mining
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The purpose of this study is to examine major variables of predicting childs media addiction through analyzing the text mining and the data mining . For this, the key-word analysis, the topic modeling analysis and the sentiment analysis were carried out after collecting

Mathematical modelling of evapotranspiration by using remote sensing and data mining
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Precise evaluation of evapotranspiration in an extended area is crucial for water requirement. By 26 using remote sensing evapotranspiration algorithms, many climatological variables are needed. 27 In case of using climatological variable

STUDENT PERFORMANCE PREDICTION USING EDUCATIONAL DATA MINING
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Prediction of students performance has always been significant for enhance learning. Student Performance Prediction is the prominent application of Educational Data Mining (EDM). EDM has developed as one of the emerging research field in recent years. ThisThe Universe is a synonym of a lot of creations and activities. It is a dynamic world. Everything is changing in respect of others. The existence of life at heavenly bodies is one of the most important creations of the nature. It caused the genesis of numerous species across

WAY TO SMART LIFE USING DATA MINING
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Information offers numerous prerequisites to the end clients, for example, programming, association and stage go on. In this proposed framework, we concentrate about carefully mining the information on social media. Online media turns out to be well known from the

EFFECTIVE PREDICTION OF PATIENT ADMISSION IN HOSPITAL USING DATA MINING CLASSIFICATION ANALYTICAL TOOL
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In hospitals, managing crowd is a big issue. Particularly, in emergency departments create major negative consequences for patients. Emergency departments need to explore the use of innovative methods to improve the patient flow and prevent overcrowding. One

CARDIAC DISEASE RECOGNITION THROUGH DATA MINING TECHNIQUES
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Nowadays heart condition is taken into account one among the main causes in todays world. It cant be easily predicted by the medical doctors because it be a difficult task that demands expertise and better knowledge for prediction. theres tons of knowledge

Sales Forecasting of Promotion Activities Based on the Cross-Industry Standard Process for Data Mining of E-commerce Promotional Information and Support
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The purpose of the study is to analyze and forecast the effect of e-commerce promotional activities and sales volume, and improve the scientific and intelligent degree of enterprise management and decision-making through data mining and analysis. The short-term effect

Use of data mining algorithms chaid and cart in predicting egg weight from egg quality traits of indigenous free-range chickens in zambia
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This study aimed to evaluate the performance of data mining algorithms Chi-square Automatic Interaction Detector (CHAID) and Classification And Regression Tree (CART) in predicting egg weight from different egg quality traits such as egg length (EL), egg width

CARM: Context Based Association Rule Mining for Conventional Data
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1 Introduction It is an information age as all is transferred to computers and the use of the information system has become a necessity of life. Knowledge extraction from data takes place through the data mining process. Data

ANALYSIS OF DISCIPLINE LEVEL UNIVERSITY STUDENT ATTRITION USING DATA MINING
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Although most higher education institutes are experiencing high enrollments in Computer Science degree programmes, most students drop out before graduating. The impact of high attrition rates is severe, particularly for the small South Pacific Island nations where the

Co-clustering Numerical Data under User-defined Constraints STATISTICAL ANALYSIS AND DATA MINING (2010) 3
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In the generic setting of objects attributes matrix data analysis, co-clustering appears as an interesting unsupervised data mining method. A co-clustering task provides a bi-partition made of coclusters: each co-cluster is a group of objects associated to a group of attributes Executing the Apriori Hybrid Algorithm in Semi-structured Mining Datasets and Comparison with HD Algorithm D. Akila, S. Jeyalaksshmi, G. Suseendran, and D. Balaganesh Abstract The recent development in data mining in various fields and firms, for example, hospital

Using Unlabeled Data Set for Mining Knowledge from DDB
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Keywords: Knowledge Discovery in Databases (KDD); Data Mining (DM); Clustering Data Mining ; Classification Data Mining ; Distributed Database (DDB); Distributed Data Mining (DDM) This work is licensed under a Creative Commons Attribution-Share Alike 4.0

Modern Applications and Challenges for Rare Itemset Mining
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Page 1.  Abstract Data mining is the process of extracting useful unknown knowledge from large datasets. Frequent itemset mining is the fundamental task of data mining that aims at discovering interesting itemsets that frequently appear together in a dataset

River: machine learning for streaming data in Python
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Learning from time-changing data with adaptive win- dowing. In Proceedings of the SIAM international conference on data mining 443 448. SIAM In Proceedings of the SIAM international conference on data mining 328 339. SIAMThe in advance detection of cancer is not easier method but if it is detecte it is curable. Various works have been done in predicting lung cancer different data mining approach and algorithm were adopt by different people. All

Complete Closed Time Intervals-Related Patterns Mining
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Page 1. Complete Closed Time Intervals-Related Patterns Mining Omer Harel, Robert Moskovitch Software and Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel omerdavi@post.bgu.ac.il, robertmo@bgu.ac.il Abstract

The Analysis Of Opinions About Teaching Profession On Twitter Through Text Mining
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With this research, it is suggested to make analyses on social media platforms with other data mining techniques on the same subject or different subjects, to analyze the shares of institutions and to examine the sharing of the Ministry of National Education Keywords: Teaching