Prediction in data mining pdf

Prediction in data mining pdf
of data in order to nd clusters within the data, outliers, association rules and prediction models that can explain the data. The information discovered by data mining can be
Beyond Understanding and Prediction – Data Mining for Action Jiuyong Li University of South Australia Adelaide, Australia Jiuyong.li@unisa.edu.au ABSTRACT Association analysis and prediction are two major tasks in data mining, and they represent two foremost objectives: data exploration for understanding and model construction for prediction. Data mining is known as a process to convert …
It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and
J.E.Nalavade et al Impelling Heart Attack Prediction System using Data Mining and Artificial Neural Network
International Journal of Computer Applications Technology and Research Volume 2– Issue 6, 660 – 662, 2013, ISSN: 2319–8656 www.ijcat.com 661
Outline • Extracting knowledge from observations. • Introduction to Data Mining (What, Why, and How?) • Our techniques for data mining. • Prediction from data: applications.
International Journal of Computer Applications (0975 – 888) Volume 47– No.10, June 2012 44 Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques
Review on Prediction of Diabetes Mellitus using Data Mining Technique 12 www.erpublication.org
IJISET – International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 4, June 2014. www.ijiset.com ISSN 2348 – 7968 Data Mining Techniques to Predict Weather: A Survey
Stock Market Prediction Using Data Mining 1Ruchi Desai, 2Prof.Snehal Gandhi 1M.E., 2M.Tech. 1Computer Department 1Sarvajanik College of Engineering and Technology, Surat, Gujarat, India Abstract – Data mining is well founded on the theory that the historic data holds the essential memory for predicting the future direction. This technology is designed to help investors discover hidden …
A Review of Data Mining Techniques for Result Prediction in Sports Abstract In the current world, sports produce considerable statistical information about each player, team, games, and seasons.
Data Mining plays a significant role in the retail industry also. Retail industry involves huge amount of data that includes transportation, sales and consumptions of goods and services.
Introduction. XLMiner supports all facets of the data mining process, including data partition, classification, prediction, and association. The third stage, prediction, is used to predict the response variable value based on a predictor variable.
Employee Performance Prediction, Data Mining, Data Mining Classification, C4.5 (J4.8) Algorithm. 1. order INTRODUCTION The explosive growth of available data as a result of computerization of almost every aspect of the operations of organizations has instinctive contributions to the development of intelligent decision making technologies. A young yet promising of these kind technologies is

Crime Pattern Analysis Visualization And Prediction Using

Predicting Breast Cancer Survivability Using Data Mining
Data Mining – Classification & Prediction Introduction There are two forms of data analysis that can be used for extract models describing important classes or predict
International Journal of Research and Scientific Innovation (IJRSI) Volume IV, Issue IA, January 2017 ISSN 2321–2705 www.rsisinternational.org Page 45
Predicting Breast Cancer Survivability Using Data Mining Techniques Abdelghani Bellaachia, Erhan Guven Department of Computer Science The George Washington University Washington DC 20052 {bell, eguven}@gwu.edu Abstract In this paper we present an analysis of the prediction of survivability rate of breast cancer patients using data mining techniques. The data used is the SEER Public-Use Data
Abstract— The automated computer programs using data mining and predictive technologies do a fare amount of trades in the markets. Data mining is well founded on the theory that
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 9, No. 5, 2018 143 P a g e www.ijacsa.thesai.org Rainfall Prediction using Data Mining Techniques:

the use of Data Mining techniques to forecast future statistics. A points system based on the success of predictions (explained later in detail), which in turn allow buying/auctioning better players adds a greater interactive feeling to the existing FPL system. This would prevent the churning of players of the season, since they would be attracted to getting more points and better players
data mining techniques search for interesting information without demanding a priori hypotheses, the kind of patterns that can be discovered depend
Data mining can be used effectively to build such models. Data mining is capable of extracting and interpreting the hidden patterns from a large amount of hydrological data.
ISSN(Online): 2319 -8753 ISSN (Print): 2347 -6710 International J ournal of Innovative R esearch in S cience,
Prediction of football results on the basis of statistical analyses of many historical data using a data-mining software. based on statistical analyses using data mining We love football!
• Forecast the future values of a time series from current and past values • Smooth out the variations to reveal underlying trends in data • Economic and business planning
THE APPLICATION OF DATA MINING TECHNOLOGY IN REAL ESTATE MARKET PREDICTION Xian Guang LI, Qi Ming LI Department of Construction and Real Estate, South East Univ,,Nanjing, China. Abstract:This paper introduces the application of data mining technology in real estate market and develops an application flow both in theory and practical example. Firstly, The definition， application …
Vol-1 Issue-4 2015 IJARIIE -ISSN(O) 2395 4396 1325 www.ijariie.com 681 Crime Pattern Analysis, Visualization And Prediction Using Data Mining
PREDICTION AND DECISION MAKING IN HEALTH CARE USING DATA MINING Boris Milovic1, Milan Milovic2 1 Faculty of Economics Subotica, Novi Sad University 24000 Subotica, Serbia 2 General Hospital, 21460 Vrbas, Serbia Abstract Tendency for data mining application in healthcare today is great, because healthcare sector is rich with information, and data mining is becoming a necessity. …
Chapter I: Introduction to Data Mining We are in an age often referred to as the information age. In this information age, because we believe that information leads to power and success, and thanks to sophisticated technologies such as computers, satellites, etc., we have been collecting tremendous amounts of information. Initially, with the advent of computers and means for mass digital

458 TANeJA, Orient. J. Comp. Sci. & Technol., Vol. 6(4), 457-466 (2013) computer based information or decision support systems can facilitate accurate diagnosis that’s
In this paper Neural Networks (NN) are drawn in data mining for classification and prediction. Back propagation is used as a learning algorithm.
Sports Data Mining has experienced rapid growth in recent years. Beginning with fantasy league players and sporting enthusiasts seeking an edge in predictions, tools and techniques began to be developed to better
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.5, October 2012 20 1. INTRODUCTION Data mining is the most important research domain in …
software defect prediction by data mining techniques Data mining is the analysis step of the “Knowledge Discovery in Databases” process, or KDD, a process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning,
Analysis of Data Mining Based Software Defect Prediction Techniques By Naheed Azeem, Shazia Usmani Federal Urdu University Abstract – Software bug repository is the main resource for fault prone modules. Different data mining algorithms are used to extract fault prone modules from these repositories. Software development team tries to increase the software quality by decreasing the …
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 02 Feb-2016 www.irjet.net p-ISSN: 2395-0072
Data Mining, Neural Network, Stock Prediction, Stock Index. 1. INTRODUCTION Stock market is basically nonlinear in nature. Prediction of stock market plays an important role in stock business. Data mining and neural network can be effectively used to uncover the nonlinearity of the stock market. Several computing techniques need to be combined in order to predict the nature of the stock market
Data Mining: A prediction for performance improvement using classification Brijesh Kumar Bhardwaj Research Scholar, Singhaniya University, Rajasthan, India wwwbkb@rediffmail.com Saurabh Pal Dept. of Computer Applications, VBS Purvanchal University, Jaunpur (UP) – 224001, India drsaurabhpal@yahoo.co.in Abstract —Now-a-days the amount of data stored in educational database …
An Analysis of Heart Disease Prediction using Different
Heart Disease Prediction Using Data Mining preprocessing and Hierarchical Clustering Dr.A.V.Senthil Kumar Director,Department of Computer Applications, Hindusthan College of Arts & Science,Coimbatore, India Email:avsenthilkumar@yahoo.com Abstract The diagnosis of diseases is a crucial and difficult job in medicine. The recognition of heartdisease from diverse features or signs is …
Review of Medical Disease Symptoms Prediction Using Data Mining Technique DOI: 10.9790/0661-1903015970 www.iosrjournals.org 61 Page
Data Mining Classification & Prediction – Learn Data Mining in simple and easy steps starting from basic to advanced concepts with examples Overview, Tasks, Data Mining, Issues, Evaluation, Terminologies, Knowledge Discovery, Systems, Query Language, Classification, Prediction, Decision Tree Induction, Bayesian, Rule Based Classification
ABSTRACT Data mining is a data analysis process which is designed for large amounts of data. It proposes a methodology for evaluating risk and safety and describes the … – everlast fitness tracker instructions PREDICTION: it is a data mining technique which discovers relationship between independent variables and relationship between dependent and independent variables. SEQUENTIAL PATTERNS: it is a data mining technique that discovers similar patterns or regular events in transaction data over a business period. DECISION TREE: it is the most used data mining techniques and its model is easily
Zillow’s Home Value Prediction Using Data Mining Vivek Singh Oklahoma State University ABSTRACT Home valuation has shaken up the U.S. real estate industry since release of …
Data Mining, Inference, and Prediction. Second Edition February 2009. Trevor Hastie. Robert Tibshirani. Jerome Friedman. What’s new in the 2nd edition? Download the book PDF (corrected 12th printing Jan 2017) “… a beautiful book”. David Hand, Biometrics 2002 “An important contribution that will become a classic” Michael Chernick, Amazon 2001 ] The Elements of Statistical Learning: Data
Data mining algorithms: Prediction The prediction task. Supervised learning task where the data are used directly (no explicit model is created) to predict the class value of a new instance.
With the advances in data mining, it has now become possible to predict the future market direction based on historical data. In this study, different approaches are used to predict the future market direction of the Stock Exchange
predict diseases such as heart disease, lung cancer, breast cancer etc. This paper analyzes the heart disease predictions using different classification algorithms . Medicinal data mining has high potential for exploring the unknown patterns in the data sets of medical domain .These patterns can be used for medical analysis in raw medical data.Heart disease was the major cause of casualties in
An Analysis of Heart Disease Prediction using Different Data Mining Techniques Nidhi Bhatla Kiran Jyoti GNDEC, Ludhiana, India GNDEC, Ludhiana, India ABSTRACT Heart disease is a term that assigns to a large number of medical conditions related to heart. These medical conditions
100 Prediction of Hypothyroidism Disease by Data Mining Technique of hypothyroid disease, hence there are 25 features in all, which will be used to classify the data.
to corrective, preventive and preventive maintenance actions. 2. The prediction prototype (or modeling module), which is the core component, where Data Mining takes place.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 08 Aug-2016 www.irjet.net p-ISSN: 2395-0072
Review on Prediction of Diabetes using Data Mining Technique
a comparative study of heart disease prediction using data mining techniques International Journal of Scientific & Engineering Research Volume 7, Issue 12, December-2016
Data mining techniques are used for a variety of applications. In healthcare industry, data mining plays an important role in predicting diseases. For detecting a disease number of tests should be
Data mining tool used 99 rows and 18 attributes to discover best performance and to conclude forecast of disease and their correctness using classifications of different techniques.
PREDICTION AND DECISION MAKING IN HEALTH CARE USING DATA

Beyond Understanding and Prediction Data Mining for Action

Evaluating the Performance of Several Data Mining Methods

DISEASE PREDICTING SYSTEM USING DATA MINING TECHNIQUES

Data mining for prediction di.ulb.ac.be

Analysis and Prediction of Football Statistics using Data

https://en.wikipedia.org/wiki/Predictive_Analytics_Software
(PDF) Classification and Prediction in Data Mining with
arduino solar tracker with servo motor pdf 2 – A Survey on Prediction of Diabetes Using Data Mining Technique
Home Value Prediction Using Datamining sas.com

(PDF) Multi Disease Prediction using Data Mining Techniques

Data Mining Classification & Prediction – Tutorials Point

Data Mining Techniques in Software Defect Prediction
DISEASE PREDICTING SYSTEM USING DATA MINING TECHNIQUES

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 02 Feb-2016 www.irjet.net p-ISSN: 2395-0072
Analysis of Data Mining Based Software Defect Prediction Techniques By Naheed Azeem, Shazia Usmani Federal Urdu University Abstract – Software bug repository is the main resource for fault prone modules. Different data mining algorithms are used to extract fault prone modules from these repositories. Software development team tries to increase the software quality by decreasing the …
100 Prediction of Hypothyroidism Disease by Data Mining Technique of hypothyroid disease, hence there are 25 features in all, which will be used to classify the data.
Data mining techniques are used for a variety of applications. In healthcare industry, data mining plays an important role in predicting diseases. For detecting a disease number of tests should be
to corrective, preventive and preventive maintenance actions. 2. The prediction prototype (or modeling module), which is the core component, where Data Mining takes place.

Data Mining Classification & Prediction – Tutorials Point
Applying Data Mining Techniques on Soil Fertility Prediction

Predicting Breast Cancer Survivability Using Data Mining Techniques Abdelghani Bellaachia, Erhan Guven Department of Computer Science The George Washington University Washington DC 20052 {bell, eguven}@gwu.edu Abstract In this paper we present an analysis of the prediction of survivability rate of breast cancer patients using data mining techniques. The data used is the SEER Public-Use Data
Chapter I: Introduction to Data Mining We are in an age often referred to as the information age. In this information age, because we believe that information leads to power and success, and thanks to sophisticated technologies such as computers, satellites, etc., we have been collecting tremendous amounts of information. Initially, with the advent of computers and means for mass digital
a comparative study of heart disease prediction using data mining techniques International Journal of Scientific & Engineering Research Volume 7, Issue 12, December-2016
A Review of Data Mining Techniques for Result Prediction in Sports Abstract In the current world, sports produce considerable statistical information about each player, team, games, and seasons.
Stock Market Prediction Using Data Mining 1Ruchi Desai, 2Prof.Snehal Gandhi 1M.E., 2M.Tech. 1Computer Department 1Sarvajanik College of Engineering and Technology, Surat, Gujarat, India Abstract – Data mining is well founded on the theory that the historic data holds the essential memory for predicting the future direction. This technology is designed to help investors discover hidden …
Abstract— The automated computer programs using data mining and predictive technologies do a fare amount of trades in the markets. Data mining is well founded on the theory that
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 08 Aug-2016 www.irjet.net p-ISSN: 2395-0072
Data mining algorithms: Prediction The prediction task. Supervised learning task where the data are used directly (no explicit model is created) to predict the class value of a new instance.
Data mining tool used 99 rows and 18 attributes to discover best performance and to conclude forecast of disease and their correctness using classifications of different techniques.

Applying Data Mining Techniques on Soil Fertility Prediction
Prediction of warning level in aircraft accidents using

Data Mining, Inference, and Prediction. Second Edition February 2009. Trevor Hastie. Robert Tibshirani. Jerome Friedman. What’s new in the 2nd edition? Download the book PDF (corrected 12th printing Jan 2017) “… a beautiful book”. David Hand, Biometrics 2002 “An important contribution that will become a classic” Michael Chernick, Amazon 2001 ] The Elements of Statistical Learning: Data
Data mining tool used 99 rows and 18 attributes to discover best performance and to conclude forecast of disease and their correctness using classifications of different techniques.
Data Mining – Classification & Prediction Introduction There are two forms of data analysis that can be used for extract models describing important classes or predict
458 TANeJA, Orient. J. Comp. Sci. & Technol., Vol. 6(4), 457-466 (2013) computer based information or decision support systems can facilitate accurate diagnosis that’s
Review on Prediction of Diabetes Mellitus using Data Mining Technique 12 www.erpublication.org
of data in order to nd clusters within the data, outliers, association rules and prediction models that can explain the data. The information discovered by data mining can be
With the advances in data mining, it has now become possible to predict the future market direction based on historical data. In this study, different approaches are used to predict the future market direction of the Stock Exchange
It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and
Abstract— The automated computer programs using data mining and predictive technologies do a fare amount of trades in the markets. Data mining is well founded on the theory that
IJISET – International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 4, June 2014. www.ijiset.com ISSN 2348 – 7968 Data Mining Techniques to Predict Weather: A Survey
Employee Performance Prediction, Data Mining, Data Mining Classification, C4.5 (J4.8) Algorithm. 1. order INTRODUCTION The explosive growth of available data as a result of computerization of almost every aspect of the operations of organizations has instinctive contributions to the development of intelligent decision making technologies. A young yet promising of these kind technologies is
Prediction of football results on the basis of statistical analyses of many historical data using a data-mining software. based on statistical analyses using data mining We love football!
An Analysis of Heart Disease Prediction using Different Data Mining Techniques Nidhi Bhatla Kiran Jyoti GNDEC, Ludhiana, India GNDEC, Ludhiana, India ABSTRACT Heart disease is a term that assigns to a large number of medical conditions related to heart. These medical conditions
a comparative study of heart disease prediction using data mining techniques International Journal of Scientific & Engineering Research Volume 7, Issue 12, December-2016

REVIEW ON PREDICTION SYSTEM FOR HEART DIAGNOSIS USING DATA
Crime Pattern Analysis Visualization And Prediction Using

J.E.Nalavade et al Impelling Heart Attack Prediction System using Data Mining and Artificial Neural Network
458 TANeJA, Orient. J. Comp. Sci. & Technol., Vol. 6(4), 457-466 (2013) computer based information or decision support systems can facilitate accurate diagnosis that’s
International Journal of Research and Scientific Innovation (IJRSI) Volume IV, Issue IA, January 2017 ISSN 2321–2705 www.rsisinternational.org Page 45
International Journal of Computer Applications Technology and Research Volume 2– Issue 6, 660 – 662, 2013, ISSN: 2319–8656 www.ijcat.com 661
THE APPLICATION OF DATA MINING TECHNOLOGY IN REAL ESTATE MARKET PREDICTION Xian Guang LI, Qi Ming LI Department of Construction and Real Estate, South East Univ,,Nanjing, China. Abstract:This paper introduces the application of data mining technology in real estate market and develops an application flow both in theory and practical example. Firstly, The definition， application …
Data mining techniques are used for a variety of applications. In healthcare industry, data mining plays an important role in predicting diseases. For detecting a disease number of tests should be

Data Mining A prediction for performance improvement
Prediction of Hypothyroidism Disease by Data Mining Technique

THE APPLICATION OF DATA MINING TECHNOLOGY IN REAL ESTATE MARKET PREDICTION Xian Guang LI, Qi Ming LI Department of Construction and Real Estate, South East Univ,,Nanjing, China. Abstract:This paper introduces the application of data mining technology in real estate market and develops an application flow both in theory and practical example. Firstly, The definition， application …
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.5, October 2012 20 1. INTRODUCTION Data mining is the most important research domain in …
Vol-1 Issue-4 2015 IJARIIE -ISSN(O) 2395 4396 1325 www.ijariie.com 681 Crime Pattern Analysis, Visualization And Prediction Using Data Mining
J.E.Nalavade et al Impelling Heart Attack Prediction System using Data Mining and Artificial Neural Network
458 TANeJA, Orient. J. Comp. Sci. & Technol., Vol. 6(4), 457-466 (2013) computer based information or decision support systems can facilitate accurate diagnosis that’s
Predicting Breast Cancer Survivability Using Data Mining Techniques Abdelghani Bellaachia, Erhan Guven Department of Computer Science The George Washington University Washington DC 20052 {bell, eguven}@gwu.edu Abstract In this paper we present an analysis of the prediction of survivability rate of breast cancer patients using data mining techniques. The data used is the SEER Public-Use Data
Abstract— The automated computer programs using data mining and predictive technologies do a fare amount of trades in the markets. Data mining is well founded on the theory that
Beyond Understanding and Prediction – Data Mining for Action Jiuyong Li University of South Australia Adelaide, Australia Jiuyong.li@unisa.edu.au ABSTRACT Association analysis and prediction are two major tasks in data mining, and they represent two foremost objectives: data exploration for understanding and model construction for prediction. Data mining is known as a process to convert …
A Review of Data Mining Techniques for Result Prediction in Sports Abstract In the current world, sports produce considerable statistical information about each player, team, games, and seasons.

Predicting Breast Cancer Survivability Using Data Mining
Prediction of Heart Disease Using Data Mining Techniques

• Forecast the future values of a time series from current and past values • Smooth out the variations to reveal underlying trends in data • Economic and business planning
Data Mining: A prediction for performance improvement using classification Brijesh Kumar Bhardwaj Research Scholar, Singhaniya University, Rajasthan, India wwwbkb@rediffmail.com Saurabh Pal Dept. of Computer Applications, VBS Purvanchal University, Jaunpur (UP) – 224001, India drsaurabhpal@yahoo.co.in Abstract —Now-a-days the amount of data stored in educational database …
100 Prediction of Hypothyroidism Disease by Data Mining Technique of hypothyroid disease, hence there are 25 features in all, which will be used to classify the data.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 08 Aug-2016 www.irjet.net p-ISSN: 2395-0072
Chapter I: Introduction to Data Mining We are in an age often referred to as the information age. In this information age, because we believe that information leads to power and success, and thanks to sophisticated technologies such as computers, satellites, etc., we have been collecting tremendous amounts of information. Initially, with the advent of computers and means for mass digital

Data Mining Techniques in Software Defect Prediction
ISSN 2348 – 7968 Data Mining Techniques to Predict Weather

Data mining algorithms: Prediction The prediction task. Supervised learning task where the data are used directly (no explicit model is created) to predict the class value of a new instance.
International Journal of Computer Applications (0975 – 888) Volume 47– No.10, June 2012 44 Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques
software defect prediction by data mining techniques Data mining is the analysis step of the “Knowledge Discovery in Databases” process, or KDD, a process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning,
Employee Performance Prediction, Data Mining, Data Mining Classification, C4.5 (J4.8) Algorithm. 1. order INTRODUCTION The explosive growth of available data as a result of computerization of almost every aspect of the operations of organizations has instinctive contributions to the development of intelligent decision making technologies. A young yet promising of these kind technologies is
data mining techniques search for interesting information without demanding a priori hypotheses, the kind of patterns that can be discovered depend

Data Mining A prediction for performance improvement
REVIEW ON PREDICTION SYSTEM FOR HEART DIAGNOSIS USING DATA

data mining techniques search for interesting information without demanding a priori hypotheses, the kind of patterns that can be discovered depend
A Review of Data Mining Techniques for Result Prediction in Sports Abstract In the current world, sports produce considerable statistical information about each player, team, games, and seasons.
a comparative study of heart disease prediction using data mining techniques International Journal of Scientific & Engineering Research Volume 7, Issue 12, December-2016
Data Mining, Inference, and Prediction. Second Edition February 2009. Trevor Hastie. Robert Tibshirani. Jerome Friedman. What’s new in the 2nd edition? Download the book PDF (corrected 12th printing Jan 2017) “… a beautiful book”. David Hand, Biometrics 2002 “An important contribution that will become a classic” Michael Chernick, Amazon 2001 ] The Elements of Statistical Learning: Data

Analysis and Prediction of Football Statistics using Data
DISEASE PREDICTING SYSTEM USING DATA MINING TECHNIQUES

Data mining algorithms: Prediction The prediction task. Supervised learning task where the data are used directly (no explicit model is created) to predict the class value of a new instance.
of data in order to nd clusters within the data, outliers, association rules and prediction models that can explain the data. The information discovered by data mining can be
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 02 Feb-2016 www.irjet.net p-ISSN: 2395-0072
Chapter I: Introduction to Data Mining We are in an age often referred to as the information age. In this information age, because we believe that information leads to power and success, and thanks to sophisticated technologies such as computers, satellites, etc., we have been collecting tremendous amounts of information. Initially, with the advent of computers and means for mass digital
Sports Data Mining has experienced rapid growth in recent years. Beginning with fantasy league players and sporting enthusiasts seeking an edge in predictions, tools and techniques began to be developed to better
International Journal of Computer Applications Technology and Research Volume 2– Issue 6, 660 – 662, 2013, ISSN: 2319–8656 www.ijcat.com 661
With the advances in data mining, it has now become possible to predict the future market direction based on historical data. In this study, different approaches are used to predict the future market direction of the Stock Exchange
Stock Market Prediction Using Data Mining 1Ruchi Desai, 2Prof.Snehal Gandhi 1M.E., 2M.Tech. 1Computer Department 1Sarvajanik College of Engineering and Technology, Surat, Gujarat, India Abstract – Data mining is well founded on the theory that the historic data holds the essential memory for predicting the future direction. This technology is designed to help investors discover hidden …
International Journal of Research and Scientific Innovation (IJRSI) Volume IV, Issue IA, January 2017 ISSN 2321–2705 www.rsisinternational.org Page 45
Zillow’s Home Value Prediction Using Data Mining Vivek Singh Oklahoma State University ABSTRACT Home valuation has shaken up the U.S. real estate industry since release of …
Data Mining, Neural Network, Stock Prediction, Stock Index. 1. INTRODUCTION Stock market is basically nonlinear in nature. Prediction of stock market plays an important role in stock business. Data mining and neural network can be effectively used to uncover the nonlinearity of the stock market. Several computing techniques need to be combined in order to predict the nature of the stock market
Employee Performance Prediction, Data Mining, Data Mining Classification, C4.5 (J4.8) Algorithm. 1. order INTRODUCTION The explosive growth of available data as a result of computerization of almost every aspect of the operations of organizations has instinctive contributions to the development of intelligent decision making technologies. A young yet promising of these kind technologies is
458 TANeJA, Orient. J. Comp. Sci. & Technol., Vol. 6(4), 457-466 (2013) computer based information or decision support systems can facilitate accurate diagnosis that’s